NEW YORK DATA & AI RECRUITMENT AND STAFFING
OVERVIEW
Data recruitment in New York is an important sector in the city's technology industry. Companies use Harnham's New York Data & AI recruitment team to recruit data professionals because of our company's extensive database of qualified candidates, a wide range of search and selection services, and our ability to provide access to a global talent pool.
With our extensive list of Artificial Intelligence, data engineering, data science, and analytics roles, Harnham can help companies find the right employees for the right roles. Harnham also offers a variety of other services, including job postings, headhunting, and a comprehensive talent database. We also provide access to its network of data professionals, making it easy to find the best talent.
Additionally, Harnham has a wide range of industry-specific resources to help employers make informed decisions about their New York data recruitment needs.
DATA & ANALYTICS RECRUITMENT AND STAFFING
HOW WE DO IT
Just like the Data & Analytics professionals we place, Harnham use tried and tested models in our recruitment processes.
By gaining valuable market knowledge across a range of industries and regions, Harnham is able to provide a service which is second to none within our marketplace.
We have seen unprecedented growth in our specialist sector and always have a wide range of vacancies at both junior and senior level including Data Science jobs, Data Analyst jobs, and Big Data jobs, all available throughout the UK, Germany, France, United States, and the Netherlands
WHAT SETS US APART FROM OTHER NEW YORK DATA & AI RECRUITMENT AGENCIES?
Feedback shows it’s our relationship-building and data industry knowledge.
Harnham is the best Data & AI recruitment company in New York because we have an extensive network of industry contacts, a deep understanding of the technology and analytics market, and a commitment to providing the best possible service to our clients.
Our team is made up of experts in the data industry, with extensive expertise in recruitment, data analysis, and consulting. With this combination of experience and resources, we are well-placed to find the right data talent for any organization.
We provide a comprehensive range of data recruitment services, including executive search, permanent and contract recruitment, and job board advertising, and are passionate about helping our clients find the perfect data professionals to help them succeed.
We are a trusted and long-term partner for all our customers, so if you need to recruit or are looking for your next opportunity, contact us to find out how you can benefit from partnering with the Harnham New York Data & AI Recruitment Team.
JOBS
LATEST NEW YORK
DATA & AI JOBS
Harnham is a specialist Data & AI recruitment business with teams that only focus on niche areas.
Staff AI Engineer
$200000 - $600000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Staff AI Engineer
(Hands‑on, LLM Platforms, Technical Lead)
Location: New York
Working model: On‑site
Package: $250,000 + Equity + Bonus
The Opportunity
An established, technology‑driven organisation is building a central AI engineering capability to support complex, data‑intensive decision‑making across the business.
This is a high‑impact individual contributor role for a Senior AI Engineer who enjoys operating close to the commercial core. You’ll take ownership of critical AI systems from architecture through to deployment, working within a small, trusted technical group with direct access to senior stakeholders.
The environment suits someone who thrives in low‑bureaucracy, high‑autonomy settings, where AI is expected to deliver real, measurable value, not experiments for experimentation’s sake.
The Role
You will act as the technical lead for advanced AI tooling, owning system design and delivery across a range of internal use cases.
Responsibilities include:
- Designing and building LLM‑based applications, including retrieval‑augmented generation and agent‑style workflows
- Owning end‑to‑end system architecture, performance, and scalability
- Developing AI tools to support research, monitoring, knowledge discovery, and decision support
- Establishing evaluation and quality frameworks to ensure AI outputs meet high reliability standards
- Reviewing code, setting engineering standards, and supporting the development of other engineers
- Partnering closely with non‑technical users to translate complex workflows into intuitive AI products
- Assessing third‑party tooling and platforms where appropriate
This is a deeply hands‑on role with real ownership.
What We’re Looking For
Core requirements:
- Strong software engineering background (Python preferred)
- Proven experience building production AI systems, particularly modern LLM applications
- Solid understanding of:
- Prompt design and iteration
- Embedding pipelines and vector databases
- RAG architectures and tool‑use patterns
- Model evaluation and monitoring
- Experience deploying AI products used by non‑technical stakeholders
- Comfortable setting technical direction while remaining a builder
Nice to have:
- Exposure to complex analytical or commercial domains
- Experience working in small, senior engineering teams
- Background in cloud‑native environments
Why Join?
- Ownership of mission‑critical AI systems
- Direct visibility of impact, your work will be used day‑to‑day
- Modern AI stack with freedom to make technical decisions
- Long‑term scope to shape and grow the AI engineering function
To Apply for this Job Click Here
Applied AI Engineer
$250000 - $300000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Applied AI Engineer
New York City
Total comp $500-600k+
Harnham is working with a leading private equity firm, one of the world’s most active investors in the tech space, in building a new AI lab in New York City.
The purpose of this team is simple: value creation by building AI products and embedding directly into portfolio companies.
The AI lab has an impressive founding team and hold a very strong reputation within the AI and Private Equity space.
The lab will have a broad remit and it will be your role to identify new opportunities across the portfolio, scoping out AI builds and shipping production AI systems.
The Role – Applied AI Engineer
You will be:
- Working as a full-stack AI Engineer, owning every aspect of the life-cycle (from architecture and infrastructure to shipping products to customers)
- Shaping how projects are delivered and products are built, driving performance and working closely with C-level execs.
- Providing technical leadership across the business, with a focus on end-to-end AI solutions.
Experience – Applied AI Engineer
You will have:
- 5+ years of commercial experience in a software engineering or AI role
- Experience working end to end in shipping production AI systems to customers
- Strong engineering fundamentals (e.g. Python)
- Hands-on experience with GenAI / LLMs
- A “build first” mentality is essential
- Start-up experience is beneficial, so to experience in enterprise integrations
BENEFITS
Competitive base salary, bonus, 401k and carry
The opportunity to join a world-class and growing team
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.
KEYWORDS
Python, TypeScript, FastAPI, React, Kubernetes, AWS, AI, Engineer, Production, Software, Private Equity.
To Apply for this Job Click Here
Lead Data Scientist
New York
$90 - $120
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Lead Data Scientist (Contract)
Harnham, the leading recruitment specialist in Data & AI, is currently partnering with a fast-growing financial technology organization focused on helping small businesses access the funding they need to grow and succeed. The business leverages data-driven decision-making to deliver innovative financial products and services.
- Role: Lead Data Scientist (Contract)
- Location: New York, NY
- Pay: $90-120 per hour
- Length: Extendable 6-month initial contract
- Utilization: 40 hours/week
- Benefits: W2 employees are eligible for health, dental, vision, and 401(k) benefits.
As a Lead Data Scientist, you will join a high-performing Risk & Analytics team, working on customer, borrower, and investor analytics initiatives. You’ll partner with stakeholders across the business to develop analytical frameworks, drive strategic decision-making, and deliver data-driven insights that support business growth.
Key Responsibilities
- Learn and understand business needs, developing analytical frameworks to solve complex business problems.
- Recommend optimal business strategies using historical performance analysis, predictive analytics, and scenario modelling.
- Collaborate with cross-functional teams to implement analytical recommendations and business initiatives.
- Partner with marketing teams to support ongoing customer management strategies across multiple channels.
- Create and maintain automated management information reporting to track business performance and support external stakeholders.
- Design and develop predictive models and testing frameworks while driving analytics best practices across the organization.
Requirements
- Bachelor’s degree in a quantitative, finance-related, or similar field, or equivalent relevant experience.
- Experience in analytics, ideally within financial services, business finance, credit products, or e-commerce environments.
- Strong coding skills in SQL, Python, and/or R.
- Proven ability to solve complex problems using analytical and statistical methods.
- Excellent communication skills with the ability to translate complex analytical findings into clear, actionable business recommendations.
- Collaborative mindset with the ability to work effectively across teams.
This is an excellent opportunity for an experienced Data Scientist to join a fast-paced, data-driven organization and influence key business decisions through advanced analytics and modelling. You’ll work alongside talented cross-functional teams, solve high-impact business challenges, and help shape strategic outcomes at scale.
Interested? Apply today through Harnham.
To Apply for this Job Click Here
Data Scientist (Private Equity Value Creation)
New York
$80 - $120
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Data Scientist (Private Equity Value Creation)
Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a PE-backed mid-market consulting and value creation business that helps portfolio companies unlock value through data, analytics, AI, and operational transformation initiatives. The team works directly with executive stakeholders to identify opportunities, implement modern data solutions, and deliver measurable business impact across a diverse client portfolio.
- Role: Data Scientist
- Location: Remote (Preference for candidates based near New York or Atlanta)
- Pay: $80 – $120 per hour
- Length: 3 – 6 month initial contract
- Utilization: 40 hr/week
- Benefits: 401k, Medical, Vision etc
As a Data Scientist, you will join a high-performing “Rapid Squad” focused on helping private equity-backed businesses accelerate value creation through data and AI. Working within small teams of 2-3 consultants, you will support end-to-end delivery from due diligence and opportunity identification through to the implementation of advanced analytics, machine learning, and modern data platforms.
You will partner directly with client executives, including CFOs, CROs, IT leaders, and business stakeholders, to assess technology landscapes, identify opportunities for improvement, and build solutions that drive operational and financial outcomes.
Key Responsibilities:
- Work directly with CFOs, CROs, and technology leaders to identify opportunities across areas such as forecasting, AP/AR optimization, and operational performance.
- Design, build, and deploy advanced analytics and machine learning solutions.
- Collaborate within small, cross-functional implementation teams delivering end-to-end data and analytics projects.
- Support the implementation of modern data platforms and analytics solutions using Snowflake, Databricks, and Power BI.
- Evaluate existing data architectures and recommend scalable data science and data engineering solutions.
- Translate complex business problems into actionable analytical frameworks and measurable outcomes.
- Contribute to engagements across manufacturing, retail, and healthcare clients.
Requirements:
- Hands-on experience with forecasting and predictive analytics use cases.
- Deep understanding of modern data platforms, including Snowflake and Databricks.
- Experience working with data visualization and reporting tools such as Power BI.
- Experience designing and evaluating experiments and statistical testing frameworks.
- Exposure to Generative AI and Large Language Models (LLMs).
- Previous experience supporting consulting, private equity, value creation, transformation, or portfolio operations initiatives is highly desirable.
- Former FP&A, strategy, or business analytics experience is considered a strong advantage.
Next Actions
If interested in this position or in exploring contract/consulting opportunities within the Data Science world, please feel free to reach out and contact Ciarán at Harnham
To Apply for this Job Click Here
Data Scientist
Remote
$65 - $70
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
This is a unique opportunity to play a critical role in the valuation of global sports media and sponsorship assets. Working on a high-profile freelance assignment, you will help validate and strengthen predictive models that will directly inform commercial decisions across multiple major sports leagues.
The Company
They are a specialist organisation operating at the intersection of sports, media, sponsorship, and advertising technology. Their work focuses on helping rights holders and commercial partners better understand and monetise media and sponsorship inventory across global sporting audiences. With active projects supporting major sports leagues, they are looking for an experienced contractor who can deliver immediate impact.
The Role and Deliverables
- Review, audit, and reverse engineer existing Excel-based predictive valuation models.
- Validate assumptions, methodologies, and calculations across sponsorship, media rights, virtual advertising, and LED inventory valuations.
- Sense check models built using multiple commercial and audience-related variables to ensure they are robust and commercially credible.
- Translate audience, viewership, CPM, and distribution data into clear valuation insights and commercial recommendations.
- Produce board-level insights and support strategic decision-making for sports media and sponsorship programmes.
- Communicate complex modelling logic and assumptions clearly to both technical and non-technical stakeholders.
Your Skills & Experience
- Strong experience within sports media, sponsorship valuation, broadcast economics, or a closely related commercial media environment.
- Deep understanding of media inventory, CPM-based valuation frameworks, audience measurement, media rights, and advertising ecosystems.
- Working knowledge of virtual advertising and LED sponsorship inventory within sports broadcasting environments.
- Advanced Excel modelling capability, including scenario modelling, sensitivity analysis, and financial valuation frameworks.
- Experience reviewing, auditing, and improving complex predictive models.
- Ability to create commercially meaningful insights from large datasets and modelling outputs.
- Strong stakeholder communication skills, with the ability to explain modelling assumptions and recommendations to executive audiences.
- Comfortable working independently in a fast-paced project environment with immediate deliverables.
To Apply for this Job Click Here
Data Scientist
New York
$80 - $100
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Data Scientist – Sports Media Valuation & Insights
- 3-Month Contract
- Remote (US Based but preference for New York based)
- Rate DOE Per Hour
This is a unique opportunity to play a critical role in the valuation of global sports media and sponsorship assets. Working on a high-profile freelance assignment, you will help validate and strengthen predictive models that will directly inform commercial decisions across multiple major sports leagues.
The Company
They are a specialist organisation operating at the intersection of sports, media, sponsorship, and advertising technology. Their work focuses on helping rights holders and commercial partners better understand and monetise media and sponsorship inventory across global sporting audiences. With active projects supporting major sports leagues, they are looking for an experienced contractor who can deliver immediate impact.
The Role and Deliverables
- Review, audit, and reverse engineer existing Excel-based predictive valuation models.
- Validate assumptions, methodologies, and calculations across sponsorship, media rights, virtual advertising, and LED inventory valuations.
- Sense check models built using multiple commercial and audience-related variables to ensure they are robust and commercially credible.
- Translate audience, viewership, CPM, and distribution data into clear valuation insights and commercial recommendations.
- Produce board-level insights and support strategic decision-making for sports media and sponsorship programmes.
- Communicate complex modelling logic and assumptions clearly to both technical and non-technical stakeholders.
Your Skills & Experience
- Strong experience within sports media, sponsorship valuation, broadcast economics, or a closely related commercial media environment.
- Deep understanding of media inventory, CPM-based valuation frameworks, audience measurement, media rights, and advertising ecosystems.
- Working knowledge of virtual advertising and LED sponsorship inventory within sports broadcasting environments.
- Advanced Excel modelling capability, including scenario modelling, sensitivity analysis, and financial valuation frameworks.
- Experience reviewing, auditing, and improving complex predictive models.
- Ability to create commercially meaningful insights from large datasets and modelling outputs.
- Strong stakeholder communication skills, with the ability to explain modelling assumptions and recommendations to executive audiences.
- Comfortable working independently in a fast-paced project environment with immediate deliverables.
To Apply for this Job Click Here
Senior Machine Learning Engineer (VLM)
$200000 - $230000
+ Computer Vision
PermanentUSA
To Apply for this Job Click Here
Senior Machine Learning Engineer
Fully Remote, United States | $200,000 to $230,000 base plus equity and benefits
This is a high impact opportunity to shape how Vision Language Models are applied in real world, production grade systems. You will play a central role in building and scaling VLM driven intelligence that connects edge devices with cloud based reasoning, influencing both technical direction and product outcomes in a fast moving environment.
The Company
They are a technology led organisation building intelligent, connected solutions that blend advanced machine learning with real world operational workflows. Their platform is designed to turn complex visual data into actionable insights at scale. The team brings together expertise across machine learning, computer vision, embedded systems and data science, with a strong focus on building systems that perform reliably in production.
The Role
- Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation
- Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance
- Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking
- Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence
- Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve
Your Skills and Experience
- Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
- Hands on experience evaluating, fine tuning or deploying VLMs in production environments
- Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
- Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
- Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
- Comfortable owning problems end to end and collaborating across hardware and software teams
What They Offer
- Competitive base salary of $200,000 to $230,000 plus equity
- Fully remote working across the United States
- Comprehensive benefits including medical, dental and vision cover
- Flexible paid time off and a strong culture of autonomy and trust
- The opportunity to be a technical leader in the application of Vision Language Models at scale
How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.
To Apply for this Job Click Here
Principal Data Scientist
$200000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Principal Data Scientist
Remote | Salary up to $220,000 + 15% bonus
This is an opportunity to step into a senior, high-impact Principal Data Scientist role where you will shape the direction of advanced AI and data science initiatives at scale. You will work on commercially meaningful problems, leveraging cutting-edge techniques including generative AI, while influencing both strategy and delivery across a globally recognised platform.
The Company
They are a well-established, innovation-led organisation focused on delivering data-driven products at scale. With a strong investment in AI and advanced analytics, they partner closely across product, engineering, and design to create impactful, user-focused solutions. Their teams are highly collaborative and operate in a modern, fully remote environment that encourages autonomy and technical excellence.
The Role
- Lead the design and implementation of advanced data science and AI solutions aligned to business objectives
- Provide technical leadership across complex projects, setting direction and best practice for modelling and deployment
- Collaborate with cross-functional stakeholders to identify opportunities and define requirements
- Apply generative AI and other advanced methodologies to solve real-world problems
- Translate technical findings into clear, actionable insights for senior stakeholders
- Oversee project timelines and ensure successful delivery across multiple workstreams
Your Skills and Experience
- Strong commercial experience in data science and machine learning, with recognised expertise in a specialist area
- Deep understanding of production-level AI systems and recent exposure to generative AI techniques
- Proven ability to lead complex projects end to end, from concept through to deployment
- Experience working cross-functionally with product, engineering, or business teams
- Clear and collaborative communication style, with the ability to influence senior stakeholders
- Background in a quantitative or technical field such as Data Science, AI, Mathematics, or similar
What They Offer
- Salary up to $220,000 with a 15% performance bonus
- Fully remote working with flexibility and autonomy
- Opportunity to work on high-impact AI initiatives at scale
- Collaborative, forward-thinking technical environment
- Clear scope for progression into broader technical or strategic leadership roles
How to Apply
If you’re interested in exploring this Principal Data Scientist opportunity, apply now for a confidential discussion.
To Apply for this Job Click Here
Senior AI Engineer
$180000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Senior AI Engineer, Agentic Systems
Remote (US) $150,000 to $220,000 + Bonus + Equity
This is an opportunity to join an AI-first technology company building sophisticated agentic systems that automate complex business workflows. You’ll play a key role in shaping both customer-facing AI capabilities and the internal engineering practices that enable teams to build faster, smarter, and more effectively.
The Company
They are an innovative software business leveraging advanced AI and autonomous systems to transform how organisations manage complex operational workflows. Their platform combines proprietary intelligence, enterprise data integration, and agent orchestration to deliver highly automated outcomes at scale. With a remote-first culture and a strong engineering focus, they offer an environment where technical expertise has a direct impact on product direction and business growth.
The Role
As a Senior AI Engineer, you will:
- Design and develop agentic workflows, autonomous systems, and AI-powered product features
- Build orchestration frameworks, tool integrations, and multi-step agent capabilities
- Create robust evaluation, monitoring, guardrail, and observability frameworks for production AI systems
- Collaborate with Product teams to translate complex business processes into reliable agent-driven solutions
- Integrate AI workflows with enterprise platforms, data systems, and third-party technologies
- Own the full software development lifecycle from design through deployment and optimisation
- Contribute to architecture decisions and technical strategy across the engineering function
- Champion the effective use of AI-assisted development tools and help establish engineering best practices
- Work closely with a high-performing team to deliver scalable, production-ready solutions
Your Skills & Experience
- Strong commercial software engineering experience with expertise across distributed systems, APIs, and scalable application development
- Proven experience building applications using LLMs, AI agents, orchestration frameworks, or autonomous workflows
- Experience designing and deploying production-grade AI systems with a focus on reliability and performance
- Knowledge of agent tooling, tool use frameworks, MCP, or similar integration approaches
- Ability to work across the full development lifecycle and take ownership of complex technical initiatives
- Strong communication skills and experience collaborating within remote or distributed teams
- Curiosity about emerging AI technologies and a passion for applying them to solve real-world challenges
Desirable experience includes:
- Exposure to marketing technology, advertising technology, media platforms, or customer data ecosystems
- Experience integrating with enterprise data platforms, cloud data warehouses, or third-party APIs
- Familiarity with LangChain or similar agent orchestration frameworks
- Experience evaluating or running local and self-hosted LLM environments
What They Offer
- Competitive base salary
- Equity participation
- Comprehensive benefits package
- Fully remote working across the US
- Access to collaborative office space for those who prefer a hybrid environment
- The opportunity to influence product strategy and engineering standards
- Exposure to cutting-edge AI and agentic system development
- Clear opportunities for professional growth within a rapidly evolving technology environment
How to Apply
If you’re excited by the future of agentic software engineering and want to build AI systems that have a tangible impact, apply today to learn more about this opportunity.
To Apply for this Job Click Here
Machine Learning Engineering Manager
$200000 - $240000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Machine Learning Engineering Manager
USA Remote $200,000 – $230,000 base + bonus + equity
A high-impact Machine Learning Engineering role focused on building and scaling production systems for real-time decisioning. You will manage a team of 4 and own end-to-end ML pipelines, working on models that directly drive commercial outcomes at scale, as well as contribute to ML research within the AI Lab.
The Company
They are a fast-growing technology business operating in the e-commerce and payments space, processing large volumes of real-time transactions. Machine learning sits at the core of their product, with strong investment in infrastructure and experimentation. Teams own services end to end, enabling engineers to drive meaningful technical impact.
The Role
* Build and deploy production-grade ML models for real-time systems
* Design scalable ML pipelines and infrastructure for high-throughput environments
* Develop offline experimentation and evaluation frameworks
* Improve model performance through statistical methods and feature engineering
* Work with distributed systems and large-scale data processing
* Partner with cross-functional teams to deliver ML solutions aligned to business needs
* Own the full lifecycle from experimentation to production and monitoring
Your Skills & Experience
* Strong commercial experience in Machine Learning Engineering
* Expertise in Python, SQL, and distributed frameworks such as Spark
* Deep understanding of model evaluation, experimentation, and statistics
* Experience building scalable ML systems from first principles
* Team leadership experience
What They Offer
* $200,000 – $240,000 base salary + bonus + equity
* Fully remote working in the US
* Unlimited paid time off and flexible working
* Comprehensive health and financial benefits, including 401k
* Learning budget and clear ownership of high-impact systems
How to Apply
Apply now to explore this Machine Learning Engineering opportunity.
To Apply for this Job Click Here
Principal AI Engineer
$250000 - $300000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Principal Software Engineer
Remote (US East Coast preferred) | Up to $300,000 Total Cash Compensation + Equity
A great opportunity to join an early-stage AI software business at a defining point in its growth. As the senior technical leader within a small but rapidly expanding engineering function, you will have significant influence over architecture, engineering standards, product direction, and team development while remaining deeply hands-on in the code.
The Company
They are a profitable AI business helping organisations identify practical, high-impact opportunities for AI adoption and transformation. Their flagship platform combines data, process modelling, and AI technologies to create digital representations of organisations, enabling leaders to make more informed operational and investment decisions.
The Role
This Principal Software Engineer role is best suited to a hands-on technical leader who enjoys building, mentoring, and solving complex engineering challenges.
You will:
- Lead the architecture, development, and scaling of a cloud-native AI platform
- Act as the senior technical contributor across a multi-disciplinary team of software engineers, data engineers, and data scientists
- Drive engineering best practices, software quality, and code review standards
- Build and deploy production-grade AI and LLM-powered applications
- Own technical decision-making across application architecture, infrastructure, and platform scalability
- Partner closely with product and business stakeholders to deliver commercially valuable solutions
- Play a key role in shaping the future engineering organisation as headcount grows
Your Skills & Experience
- Strong commercial experience building software applications in Python
- Experience as a Principal Engineer, Staff Engineer, Technical Lead, Founding Engineer, or similar senior individual contributor role
- Proven track record delivering production AI or LLM-based applications beyond experimentation or proof-of-concept work
- Experience with modern LLM frameworks and orchestration tooling such as LangChain, LangGraph, or similar technologies
- Strong understanding of multi-model AI environments and working with leading foundation model providers
- Experience owning cloud infrastructure and deployment pipelines, ideally within Google Cloud Platform
- Knowledge of services such as Cloud Run, BigQuery, IAM, containerisation, and CI/CD tooling
- Experience working within startup, or other lean engineering environments
- Interest in AI adoption, automation, analytics, or operational transformation projects
What They Offer
- Up to $300,000 total cash compensation including bonus
- High levels of ownership and technical influence
- Opportunity to shape engineering culture, processes, and platform architecture
- Greenfield environment with modern technologies and no legacy estate
- Clear career progression as the engineering organisation scales
How to Apply
If you are a hands-on Principal Software Engineer with strong Python expertise, production LLM experience, and a passion for building and mentoring within a growing AI business, please apply for a confidential discussion.
To Apply for this Job Click Here
Data Scientist (Agentic AI)
$200000 - $230000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Data Scientist (Agentic AI)
Location: Remote (U.S. Based)
Pay: $200k – $230k Base
About the Role
A rapidly growing technology consulting organization is seeking experienced Data Scientists with deep expertise in Agentic AI to support the delivery of enterprise-scale AI solutions. This role focuses on designing, building, and deploying production-grade autonomous AI systems within complex cloud environments. Candidates will work directly on active client engagements, leveraging cutting-edge AI technologies to solve business-critical challenges.
Responsibilities:
- Design, build, and deploy production-ready Agentic AI solutions for enterprise clients.
- Develop and optimize autonomous AI agents, multi-agent systems, and orchestration frameworks.
- Collaborate with engineering, data, and cloud teams to deliver scalable AI applications.
- Build AI workflows utilizing modern LLM architectures and agent frameworks.
- Develop solutions within AWS cloud environments using best practices for scalability and security.
- Evaluate, monitor, and improve agent performance in production environments.
- Work closely with stakeholders to translate business requirements into AI-driven solutions.
- Contribute to AI architecture decisions and technical strategy across client projects.
Must Have Qualifications:
- 6+ years of experience in Data Science, Machine Learning, AI Engineering, or related fields.
- Hands-on experience building and deploying Agentic AI solutions in production environments.
- Strong experience with AWS cloud technologies and AI/ML services.
- Experience working with LLMs, autonomous agents, multi-agent systems, and AI orchestration frameworks.
- Proficiency in Python and modern machine learning development tools.
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
To Apply for this Job Click Here
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We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
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Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
Client /
Data Direction – Broadcast Media
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
