DATA & AI STAFFING
SAN FRANCISCO

To Apply for this Job Click Here

Senior AI Software Engineer
London
£90,000-£130,000

I’m partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making.

Role Responsibilities

As a Senior AI Applied Engineer, you will:

• Build & Deploy AI-Driven Software Solutions
  You’ll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation.
• Own Project-Based Work Across Diverse Domains
  You’ll tackle varied engagements, ranging in length and complexity, and support multiple clients.
• Ensure Scalable and Reliable Deployment
  Your role includes end-to-end responsibility for deploying AI solutions that are robust, maintainable, and optimized for performance at scale.
• Act as a Strong Team Contributor and Communicator
  While you won’t lead client engagements, you’ll work closely with clients and internal teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities.
• Leverage Generative AI Expertise
  Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery.

Who We’re Looking For

Essential Qualifications & Experience

• Strong software engineering background with deep experience deploying scalable systems
• At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency
• Comfortable with project-based, delivery-focused work, even if no prior consultancy experience
• Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders
• Reliable, consistent work history; this is a long-term growth-focused opportunity within an expanding team of 5 for this role

Ready to Apply?

If this resonates with your background and career path, let’s talk. Please share your CV highlighting your engineering experience and where generative AI has featured, especially in deployment or integration roles.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Engineer – Remote

We’re hiring an AI Engineer to help design and build cutting-edge AI solutions with a focus on document intelligence. You’ll play a key role in embedding GenAI across the business, starting with tools to support verification teams in extracting and reasoning over complex documents.

This is a hands-on engineering role with a strong focus on LLM-based systems and clean, production-grade Python development.

Responsibilities:

• Build rapid MVPs and evolve them into production-ready services.
• Develop and maintain shared Python libraries with strong architecture, testing, and CI/CD standards.
• Design and deploy LLM-based extraction, RAG, and agent workflows across large document sets.
• Work closely with both technical and non-technical stakeholders.

Required:

• Expert in Python coding
• Solid grounding in software engineering best practices: CI/CD, automated testing, observability.
• Experience with multi-modal AI (e.g. layout understanding, VLMs, agentic workflows).
• Comfortable prototyping quickly (Streamlit, Dash) to test ideas.
• Familiar with MLOps tools like MLflow and model monitoring.
• Strong communicator who can work across teams.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Engineer – LLMs for Document Intelligence | Remote (UK) | Up to £70,000

We’re supporting a UK-based SaaS company in hiring an AI Engineer to join their Innovation team. This role is focused on delivering real business impact through Generative AI, particularly in the area of document intelligence.

The opportunity

• Build and deploy LLM-based systems to automate document extraction, reasoning and validation
• Work on high-impact use cases, such as ESG and sustainability compliance
• Join a small, collaborative team that values clean code, fast iteration and practical AI solutions

What you’ll do

• Design and implement LLM-powered workflows for document understanding, including RAG and agent-based systems
• Develop robust, well-structured Python libraries and production-ready services
• Build quick prototypes (Streamlit, Dash) and scalable services (FastAPI, Kubernetes)
• Contribute to engineering best practices across CI/CD, testing, and monitoring

What we’re looking for

• Previous experience with document extraction using LLMs
• Expert-level Python skills, with a strong grounding in software engineering fundamentals
• Clear communicator, comfortable working with both technical and non-technical stakeholders

What’s on offer

• Up to £70,000 base salary
• Remote-first working culture (UK only)
• Company offsites across Europe
• Private medical insurance, life assurance and pension
• 25 days holiday plus bank holidays, with the option to buy more
• Wellness and professional development budgets

2 stage interview process.

This role cannot sponsor and ideally candidates will have 1 month or less notice period, aiming for a September/early October start.

To Apply for this Job Click Here

To Apply for this Job Click Here

Research Engineer – Barcelona – English Speaking Required

Stealth Start Up

We are working with a very exciting start-up company that just received pre-seed funding and are looking for a Research Engineer to join their research team with some of the top minds in the industry.

You will be responsible for bridging the gap between science and engineering by adding the necessary engineering layer to the work produced by the scientists. This includes supporting the full lifecycle of machine learning models-from design and implementation to evaluation and deployment-ensuring their work successfully reaches production. Additionally, you’ll play a key role in closing the significant gap between the Science and Infrastructure teams, helping to create smoother collaboration and integration across the organisation.

They are looking for candidates to relocate to Barcelona, with an office right next to the beach!

Requirements:

• PhD in a relevant field
• Python, Pandas, PyTorch, NumPy
• Experience working with text or tabular data
• MLOps
• English speaking

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Engineer

Location: New York (Hybrid)

Compensation: $180,000 – $220,000 base salary + Equity

About the Company

We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand.

The Role

As an Applied AI/NLP Scientist, you’ll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.

Key Responsibilities

• AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more.
• Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
• Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
• Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
• Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
• Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We’re looking for a hands-on NLP expert with a passion for building tools that empower developers:

• 2-8 years of experience in applied NLP or LLM-focused system development.
• Proven track record building and deploying NLP/LLM solutions in production.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
• Experience working with large, unstructured code and text datasets.
• Background in applied research with an ability to bring experimental models into real-world systems.
• Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
• Strong communication skills and comfort working in fast-paced, ownership-driven environments.
• Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
• Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).

The Benefits

• Competitive Pay: $180,000 – $220,000 base + performance bonus + equity
• Innovation Ownership: Contribute directly to product innovation and IP
• Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI ENGINEER

£70,000 + BENEFITS

PRIMARILY REMOTE

Make a real-world impact in an industry that needs smarter, more sustainable solutions. Join a fast-growing SaaS company on the cutting edge of Generative AI and document intelligence.

THE COMPANY:

I’m working with tech company that’s making a real impact in ESG, supply chain risk, and sustainability. This client is looking for a hands-on AI Engineer with AI/ML tooling experience to help build and prototype LLM-powered workflows.

THE ROLE:

This client are hiring an AI Engineer to:

• Prototype and build GenAI tools for LLM-driven document reasoning
• Develop microservices and APIs (FastAPI, Kubernetes) with solid CI/CD practices
• Work on multimodal datasets: documents, images, structured content
• Collaborate cross-functionally with product and data teams
• Influence the direction of emerging AI tools

YOUR SKILLS AND EXPERIENCE:

A successful AI Engineer will have the following skills and experience:

• Strong Python with AI/ML exposure
• Experience with LLMs, RAG pipelines, document extraction
• Prior work with multimodal data (NLP, CV, tabular)

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI ENGINEER

£70,000 + BENEFITS

PRIMARILY REMOTE

Make a real-world impact in an industry that needs smarter, more sustainable solutions. Join a fast-growing SaaS company on the cutting edge of Generative AI and document intelligence.

THE COMPANY:

I’m working with tech company that’s making a real impact in ESG, supply chain risk, and sustainability. This client is looking for a hands-on AI Engineer with AI/ML tooling experience to help build and prototype LLM-powered workflows.

THE ROLE:

This client are hiring an AI Engineer to:

• Prototype and build GenAI tools for LLM-driven document reasoning
• Develop microservices and APIs (FastAPI, Kubernetes) with solid CI/CD practices
• Work on multimodal datasets: documents, images, structured content
• Collaborate cross-functionally with product and data teams
• Influence the direction of emerging AI tools

YOUR SKILLS AND EXPERIENCE:

A successful AI Engineer will have the following skills and experience:

• Strong Python with AI/ML exposure
• Experience with LLMs, RAG pipelines, document extraction
• Prior work with multimodal data (NLP, CV, tabular)

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI ENGINEER

£70,000 + BENEFITS

PRIMARILY REMOTE

Make a real-world impact in an industry that needs smarter, more sustainable solutions. Join a fast-growing SaaS company on the cutting edge of Generative AI and document intelligence.

THE COMPANY:

I’m working with tech company that’s making a real impact in ESG, supply chain risk, and sustainability. This client is looking for a hands-on AI Engineer with AI/ML tooling experience to help build and prototype LLM-powered workflows.

THE ROLE:

This client are hiring an AI Engineer to:

• Prototype and build GenAI tools for LLM-driven document reasoning
• Develop microservices and APIs (FastAPI, Kubernetes) with solid CI/CD practices
• Work on multimodal datasets: documents, images, structured content
• Collaborate cross-functionally with product and data teams
• Influence the direction of emerging AI tools

YOUR SKILLS AND EXPERIENCE:

A successful AI Engineer will have the following skills and experience:

• Strong Python with AI/ML exposure
• Experience with LLMs, RAG pipelines, document extraction
• Prior work with multimodal data (NLP, CV, tabular)

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Chief AI Engineer – AdTech

New York, New York – 4 days onsite

$300,000 – $350,000 + bonus + equity

THE COMPANY

Harnham is partnering with a new client that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

RESPONSIBILITIES

• Work closely with product managers and engineers to align on business goals, define machine learning challenges, and design effective ML solutions.

• Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.

• Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.

• Stay informed on industry trends and advancements in deep learning, experiment with new model concepts, and run both offline and online evaluations.

• Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.

SKILLS AND EXPERIENCE

• Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.

• Over 10 years of hands-on experience developing and deploying production-ready machine learning systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.

• Advertising experinece with real-time bidding, auction models, dynamic pricing, recommendation engines, multi-armed bandits and causal inference techniques preferred.

• Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.

• Experience scaling out MLE teams as tech lead or manager preferred.

• Commercial experience combination of big tech and scaling startups a plus.

BENEFITS

The compensation package contains a base salary, a bonus, and a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time Bidding | Auction | Statistics | Mathematics | AdTech | Advertising | Python | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Engineer

Location: Remote-First (UK Based)
Salary: £70,000

The Role

I’m working with a start up company who are are looking to hire an AI Engineer to help design and deploy LLM-powered tools. You’ll prototype and build end-to-end systems that extract and act on data from diverse document types using LLMs, RAG pipelines, and agent-based reasoning.

Experience Required

• Strong Python engineering skills and experience with AI tooling
• Experience building and deploying microservices (FastAPI, Kubernetes)
• Familiarity with CI/CD pipelines and modern software practices
• Background in document extraction and reasoning (LLMs, RAG, agents)
• Exposure to multimodal data (text, images, structured)
• MLOps, model monitoring, and rapid prototyping (Streamlit, Dash, etc.)
• 3-4+ years in software or ML engineering roles

The Interview Process

1. Intro chat with Lead Data Scientist
2. Take-home technical challenge – Focused on structuring AI software
3. Final stage interview – Deep dive with the wider team

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead AI Engineer – Financial Services | $200,000-220,000 + Bonus + Benefits
Location: New York, NY (REMOTE)
Industry: Financial Services

Harnham is proud to partner with a dynamic and fast-growing financial services firm which works directly with people to help along their financial journey. They are looking to hire their first Lead AI Engineer, someone passionate about building innovative machine learning solutions and driving thoughtful AI & LLM initiatives at an enterprise level.

This is a unique opportunity to take a hands-on leadership role, building machine learning and LLM capabilities, while shaping a team and strategy that supports long-term innovation and responsible AI use.

THE ROLE

As Lead AI Engineer, you will:

• Partner closely with engineering and business teams to design and deliver machine learning solutions that address complex challenges.

• Build and deploy ML and LLM models that support key initiatives in chatbot, voicebot and customer support center agents.

• Lead development of NLP applications such as text classification, summarization, and information extraction to support customer engagement and insights.

• Help define meaningful performance metrics (KPIs) for AI solutions and foster an environment of transparency and learning.

• Contribute to a culture of innovation by mentoring others, sharing knowledge, and laying the groundwork for a growing AI team.

YOUR SKILLS & EXPERIENCE

We’re looking for someone with:

• 5+ years of experience in applied data science, machine learning, or related AI fields. 2+ most recent years using LLM / RAG technologies.

• A degree in a STEM or quantitative field such as Computer Science, Engineering, Mathematics, or Statistics.

• A strong track record of translating technical work into business value, particularly with cross-functional or non-technical stakeholders.

• Experience leading projects end-to-end, with mentorship or team-building experience.

• Proficiency in Python and familiarity with LLM tools like LangChain, Hugging Face, Llama.

• Exposure to cloud platforms (AWS preferred, but not required) and data visualization tools.

• Comfort and familiarity working in fast-paced environments like hyper-growth startups is a plus.

THE BENEFITS

• Competitive salary range of $200,000-220,000

• Performance-based bonus

• Comprehensive health and wellness benefits

• Better than market average retirement match

• Opportunity to build a strategic AI function from the ground up in a highly respected firm

• Supportive, forward-thinking leadership team invested in responsible innovation

HOW TO APPLY

If you’re excited about building impactful AI solutions and leading with curiosity, care, and purpose, we’d love to hear from you.

Please submit your résumé to Tim Jonas using the “Apply” link on this page.

Keywords:
AI Engineering | Machine Learning | NLP | LLM | Large Language Models | Financial Services | Responsible AI | Python | Cloud | Data Science | Llama | Leadership | Agents | Cross-functional Collaboration | Team Management | LangChain | Hugging Face | Chatbots | Voicebots

To Apply for this Job Click Here