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AI Engineer / AI Strategy Specialist

Amsterdam (Hybrid) | Up to €70,000 + Benefits
This is an opportunity to work at the intersection of AI strategy, consulting, and hands-on engineering. You will help organisations unlock value from Large Language Models and modern AI technologies while playing a key role in the growth of an ambitious AI consultancy in the Netherlands.

The Company
They are a specialist AI consultancy focused on helping organisations redesign processes, implement intelligent automation, and create measurable business value through AI. Working across a variety of industries, they deliver end-to-end AI solutions that combine strategic guidance with technical expertise. Their culture is collaborative, innovative, and centred on continuous learning. As they continue to grow, they are looking for an AI Engineer / AI Strategy Specialist to help drive client success and shape their future capabilities.

The Role
You will combine strategy, architecture, and technical delivery to support AI transformation initiatives.
Responsibilities include:

• Developing AI transformation roadmaps aligned to business objectives and high-value use cases
• Translating business challenges into scalable AI solutions
• Advising stakeholders on AI architecture, model selection, tooling, and implementation approaches
• Designing, testing, and deploying Large Language Model solutions
• Leading end-to-end AI projects from discovery through delivery and adoption
• Integrating AI models into existing business systems and workflows
• Monitoring and optimising model performance through continuous evaluation and iteration
• Supporting AI teams and promoting best practices across projects
• Collaborating with software engineering, data science, and product teams
• Contributing to the development of internal AI tools, frameworks, and methodologies

Your Skills & Experience

• Strong technical expertise in AI, Large Language Models, RAG solutions, and modern AI frameworks
• Deep understanding of AI architecture beyond prompt engineering
• Commercial experience with Python and cloud platforms such as Azure
• Experience working with Git-based development workflows
• Proven capability leading complex AI implementations and technical teams
• Strong stakeholder management skills with the ability to communicate technical concepts to non-technical audiences
• Fluent Dutch language skills
• Experience building or contributing to AI-powered applications and solutions

Desirable:

• Experience with agent frameworks, MLOps, data modelling, or machine learning techniques
• Background in AI, Computer Science, Data Science, or equivalent practical experience
• Experience delivering solutions within consulting or enterprise environments

What They Offer

• Salary up to €70,000
• Hybrid working environment
• Opportunity to work on impactful AI transformation programmes
• Access to the latest AI tools, frameworks, and technologies
• Strong learning and development opportunities
• Exposure to a broad range of industries and business challenges
• Clear progression opportunities within a growing organisation
• Competitive benefits package, including potential equity participation

How to Apply
If you are passionate about AI strategy, Large Language Models, and delivering real-world AI solutions, apply today to learn more about this opportunity.

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AI & Machine Learning Lead

Amsterdam, Netherlands | €80,000 – €110,000 base salary + bonus

This is an opportunity to take ownership of AI and machine learning strategy within a highly visible technology business. You’ll have the autonomy to shape technical direction, influence product decisions, mentor a growing team, and drive the adoption of modern AI solutions that directly impact millions of users.

The Company
They are a fast-moving digital business with a flat structure, strong technical culture, and significant market reach. Despite being relatively small in size, they operate at scale and provide a level of influence and visibility that is difficult to find in larger organisations.
The business is investing heavily in the future of AI and machine learning, with a clear ambition to evolve beyond traditional approaches and embed AI more deeply across products and services. This role will play a key part in defining that journey.

The Role
As AI & ML Lead, you will be the technical and strategic authority for machine learning and AI initiatives across the business.
Key responsibilities include:

• Leading, mentoring, and developing a team of Data Scientists
• Defining and owning the AI and machine learning strategy
• Modernising existing recommendation and search capabilities
• Evaluating emerging AI technologies and identifying opportunities for adoption
• Driving AI-first thinking across product and technology teams
• Guiding model selection, evaluation frameworks, and MLOps best practices
• Making informed build vs buy decisions for AI solutions and vendors
• Partnering closely with Product and Engineering leaders to shape roadmaps
• Identifying high-impact use cases across recommendations, search, fraud detection, and behavioural modelling
• Influencing prioritisation decisions through data-driven insights and business impact assessment
• Championing best practices for deploying and maintaining machine learning models in production

Your Skills & Experience

• Strong commercial experience designing, deploying, and scaling machine learning solutions in production environments
• Experience working on recommendation systems, search platforms, ranking models, personalisation, marketplace products, or similar challenges
• Proven ability to define technical strategy and influence business direction
• Experience leading, mentoring, or managing Data Science and Machine Learning teams
• Strong understanding of modern machine learning, MLOps, and production model lifecycle management
• Experience deploying models using modern cloud-based data and AI platforms, ideally including Databricks
• Knowledge of Generative AI, LLM applications, RAG architectures, fine-tuning, or related technologies
• Strong stakeholder management and communication skills
• Ability to work effectively in a fast-paced environment with evolving priorities

What They Offer

• €80,000 – €110,000 base salary
• Total compensation package up to approximately €90,000 – €140,000 including bonus
• Flexible working environment with an office-first culture
• Opportunity to work abroad for up to one month per year
• Relocation support and visa sponsorship available
• Direct access to senior leadership and decision-makers
• Significant ownership of AI strategy, team development, and technology direction
• Clear opportunity to shape the future structure and capability of the AI function

How to Apply
If you are an experienced AI and Machine Learning leader looking to shape strategy, build high-impact products, and drive innovation at scale, please apply today.

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Senior Machine Learning Engineer (MLOps)
Amsterdam | Up to €110,000 + 10% Bonus

This is an opportunity to join a rapidly scaling Machine Learning Platform team building the infrastructure behind real-time machine learning products in a high-volume environment. You will work on systems that enable Data Scientists to develop, deploy, and scale models that directly influence critical business outcomes, while helping shape the future of a growing ML platform.

The Company
They are a global technology business operating at significant scale, processing billions of transactions and delivering products used by customers around the world. Data and machine learning are central to their strategy, with dedicated teams focused on developing intelligent, high-impact products. The organisation continues to invest heavily in platform engineering, MLOps, and AI capabilities, creating excellent opportunities for technical growth and ownership.

The Role
As a Senior Machine Learning Engineer, you will play a key role in developing and scaling the machine learning platform that supports multiple data science teams.
Responsibilities include:
* Building, maintaining, and improving training and deployment pipelines for machine learning models
* Designing scalable infrastructure for model serving, experimentation, and monitoring
* Supporting feature store development across online and offline use cases
* Developing observability and monitoring solutions for production ML systems
* Improving model deployment and release processes
* Contributing to real-time inference systems operating at large scale
* Collaborating closely with Data Scientists to productionise machine learning solutions
* Driving engineering best practices across the ML platform
* Mentoring engineers and contributing to technical decision-making

Your Skills & Experience
* Strong commercial experience building production-grade software with Python
* Experience designing and operating machine learning systems in production environments
* Strong understanding of MLOps principles and the machine learning lifecycle
* Experience working with cloud platforms, preferably AWS
* Knowledge of monitoring, observability, and platform reliability practices
* Familiarity with distributed data processing technologies such as Spark or Databricks
* Experience building scalable deployment and inference solutions
* Strong communication skills and the ability to collaborate across engineering and data science teams
* Comfortable solving complex technical challenges in an evolving environment
Experience with technologies such as Python, Databricks, PySpark, XGBoost, scikit-learn, Terraform, Kafka, Triton Inference Server, DynamoDB, BigQuery, and AWS would be beneficial.

What They Offer
* Salary up to €110,000 depending on experience
* 10% annual bonus
* Hybrid working model with three days per week in the Amsterdam office
* Relocation support
* Visa sponsorship available
* Opportunity to work on large-scale machine learning systems with significant business impact
* Clear progression opportunities within a growing Machine Learning and Platform Engineering function

How to Apply
If you are passionate about Machine Learning Engineering, MLOps, and building scalable production systems, apply today to discuss this opportunity in more detai

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Machine Learning Engineer (MLOps)
Amsterdam | €60,000 – €87,000 + 8% Holiday Allowance + 10% Bonus

This is an exciting opportunity to join a growing Machine Learning Platform team within a global technology business. You’ll play a key role in building the infrastructure and tooling that enables Data Scientists to deploy machine learning models at scale, supporting real-time decision-making in a highly complex, high-volume environment.

The Company
They are a global technology organisation operating at significant scale, processing billions of transactions and supporting customers across international markets. Data and machine learning sit at the heart of their product offering, driving innovation across critical business functions. The business continues to invest heavily in its Data & AI capabilities, creating strong opportunities for learning, progression, and technical ownership.

The Role
As a Machine Learning Engineer, you will work closely with Data Scientists and senior engineers to productionise machine learning solutions and enhance the ML platform.

Key responsibilities include:
* Building and maintaining scalable machine learning training pipelines
* Supporting hyperparameter optimisation and model experimentation workflows
* Developing deployment, release, and monitoring processes for production ML models
* Contributing to feature store infrastructure and model serving capabilities
* Building observability and monitoring tooling for machine learning systems
* Supporting real-time inference systems operating at scale
* Collaborating with cross-functional teams to deliver production-ready machine learning solutions
* Taking ownership of platform features while developing your technical expertise

Your Skills & Experience
* Strong commercial experience with Python development
* Experience working with machine learning models in production environments
* Understanding of MLOps principles and machine learning lifecycle management
* Exposure to cloud infrastructure, preferably AWS
* Knowledge of monitoring, observability, and operational best practices
* Experience with Databricks, Spark, or similar distributed data processing technologies is beneficial
* Strong communication and stakeholder collaboration skills
* Ability to work effectively in a fast-paced environment with evolving requirements
Desirable experience includes technologies such as Python, PySpark, Databricks, XGBoost, scikit-learn, Kafka, Terraform, AWS, and real-time data platforms.

What They Offer
* Salary ranging from €60,000 to €70,000 for junior-level candidates
* Salary ranging from €75,000 to €85,000 for mid-level candidates
* 10% annual performance bonus
* 8% holiday allowance
* Hybrid working model with 3 days per week in the Amsterdam office
* Relocation support available
* Sponsorship available for eligible candidates
* Clear career progression within a growing Machine Learning Platform team
* Opportunity to work alongside experienced engineers on large-scale production machine learning systems

How to Apply
If you’re passionate about Machine Learning Engineering, MLOps, and building scalable production systems, apply today to learn more about this opportunity.

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Senior/Staff AI Engineer (Founding Team)
Remote (US) | $150,000 to $220,000 base salary + equity
This is a unique opportunity to join a high-growth AI business at an inflection point in its journey. As part of the founding AI Engineering team, you will play a pivotal role in building production-grade agentic AI systems that deliver measurable value to customers while helping shape the company’s technical direction, engineering standards, and culture from the ground up.
The Company
They are a venture-backed AI company developing next-generation AI infrastructure and intelligent workflow automation products. Rather than applying AI to existing solutions, they are building foundational platforms that enable agent orchestration, automation, and scalable production AI systems. Following recent investment, they are expanding their engineering team and investing heavily in product innovation. Their environment is collaborative, fast-moving, and focused on delivering tangible business outcomes.
The Role
You will work closely with engineering and product leadership to build, deploy, and optimise AI-powered products used in real-world customer environments.
Key responsibilities include:

• Designing and developing production AI features from concept through deployment
• Building agentic workflows and orchestration frameworks
• Developing intelligent automation solutions for complex business processes
• Optimising model performance, latency, reliability, and cost efficiency
• Collaborating with Product teams to measure customer impact and business outcomes
• Contributing across the full software development lifecycle
• Influencing technical architecture, engineering practices, and platform strategy
• Supporting the development of scalable AI systems in a greenfield environment

Your Skills & Experience
You will bring strong commercial software engineering experience combined with hands-on expertise in modern AI technologies.
Key requirements:

• Experience building and deploying production LLM applications
• Expertise in agentic AI systems and workflow orchestration
• Hands-on experience with LangChain or similar orchestration frameworks
• Strong software engineering fundamentals and architecture capabilities
• Experience delivering customer-facing AI products
• Ability to own features and projects end-to-end
• Experience operating effectively within startup or high-growth environments
• Product-focused mindset with an emphasis on measurable outcomes

Desirable experience:

• Multi-agent systems
• Retrieval Augmented Generation (RAG) architectures
• AI evaluation and experimentation frameworks
• Prompt engineering
• MLOps or LLMOps practices
• Cloud-native infrastructure
• Exposure to advertising technology, marketing technology, or automation platforms

What They Offer

• Base salary between $150,000 and $220,000
• Meaningful equity participation
• Fully remote working environment with access to a collaborative engineering community
• Direct exposure to founders and executive leadership
• Significant ownership and autonomy
• Opportunity to influence platform architecture and engineering culture
• Clear progression within a rapidly scaling AI organisation
• Opportunity to work on cutting-edge agentic AI systems with immediate customer impact

How to Apply
If you are excited by the opportunity to build production AI systems, take ownership of complex engineering challenges, and help define the future of intelligent automation, apply today. Based on the experience you bring, candidates will be considered at Senior or Staff level

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Senior AI Engineer (Founding Team)

Remote (US) – NYC Preferred

$175,000 – $200,000 Base + Equity

THE COMPANY

Harnham is partnering with a venture-backed, early-stage AI startup building an agentic AI operating system for the advertising and marketing industry. Having recently completed a successful Series A funding round, the company is entering a rapid growth phase and is focused on developing foundational AI infrastructure that enables intelligent workflows, agent orchestration, and large-scale production AI systems.

Rather than layering AI onto existing software, the organization is building AI-native products from the ground up. With a lean team of approximately ~30 employees and a highly collaborative engineering culture, this is an opportunity to work directly alongside founders and technical leadership to define the future of AI-powered workflow automation.

RESPONSIBILITIES

• Build and deploy production-grade AI features from concept through implementation and launch.
• Design and develop agentic AI workflows, orchestration frameworks, and intelligent automation systems.
• Create AI-powered applications that solve complex advertising and marketing challenges.
• Optimize model performance, latency, reliability, and operational costs across production environments.
• Collaborate closely with Product and Customer Success teams to validate business impact and customer outcomes.
• Own features end-to-end, from architecture and development through deployment and ongoing optimization.
• Contribute to platform architecture, engineering standards, and technical best practices.
• Help shape the long-term direction of the company’s AI infrastructure and product strategy.

SKILLS AND EXPERIENCE

• Strong software engineering background with experience building and shipping production AI applications.
• Hands-on experience developing LLM-powered applications in production environments.
• Experience designing and implementing agentic AI systems and workflow orchestration frameworks.
• Proficiency with LangChain or comparable orchestration technologies.
• Demonstrated experience owning customer-facing products from development through deployment.
• Strong software engineering fundamentals, including application architecture, testing, and scalability.
• Comfort operating in fast-paced startup environments with high ownership and ambiguity.
• Product-oriented mindset focused on measurable customer and business outcomes.
• Ability to work across the technology stack and contribute wherever needed.

PREFERRED EXPERIENCE

• Experience with multi-agent systems and advanced orchestration architectures.
• Knowledge of Retrieval-Augmented Generation (RAG) systems.
• Experience implementing AI evaluation and testing frameworks.
• Prompt engineering expertise.
• Background in marketing, advertising technology, or related industries.
• Experience with MLOps, LLMOps, and cloud-native infrastructure.
• Exposure to vector databases and large-scale AI platform architectures.

BENEFITS

The compensation package includes a competitive base salary, meaningful equity participation, and the opportunity to join a high-growth AI startup at an early stage. This role offers significant ownership, direct access to founders and engineering leadership, and the chance to help define the future of production-grade agentic AI systems.

HOW TO APPLY

Please submit your CV via the Apply link on this page to register your interest.

KEY TERMS

Artificial Intelligence | Agentic AI | AI Agents | Large Language Models | LLMs | LangChain | Workflow Automation | Multi-Agent Systems | RAG | Prompt Engineering | MLOps | LLMOps | Production AI | Software Engineering | Startup | Marketing Technology | Advertising Technology | Full Stack Engineering | AI Infrastructure | Machine Learning | Founding Engineer | Generative AI | Automation Platforms | Cloud Infrastructure

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Lead AI Engineer

London (Hybrid, 1 day per week) | Up to £110,000 + 15% Bonus

This is an exciting opportunity for a Lead AI Engineer to join a business making significant investment in AI and automation. You will play a pivotal role in shaping AI strategy, leading the delivery of production-grade GenAI solutions, and driving innovation across multiple high-impact business areas. With strong executive backing and a growing pipeline of AI initiatives, this role offers genuine influence and ownership from day one.

The Company

They are a well-established, technology-driven organisation operating at scale within a highly regulated environment. As part of a wider digital transformation programme, they are investing heavily in AI, automation, and advanced data capabilities to improve customer experiences and operational efficiency.

Their AI function is expanding rapidly, with multiple GenAI and machine learning initiatives moving from concept into production. You will join a collaborative team where technical expertise is valued, decisions are made pragmatically, and innovation is closely aligned to measurable business outcomes.

The Role

As a Lead AI Engineer, you will be responsible for leading the design, development, and deployment of AI solutions that deliver real business value.

Responsibilities include:

• Owning end-to-end delivery of AI and GenAI solutions from discovery through to production.
• Leading architecture decisions and providing technical direction across multiple AI initiatives.
• Building scalable, secure, and reliable AI applications within an enterprise environment.
• Driving build versus buy evaluations and recommending appropriate technologies.
• Delivering solutions including retrieval-augmented generation (RAG), agentic AI, automation, and intelligent decision-support tools.
• Working closely with engineering, security, governance, and business stakeholders.
• Navigating complex and ambiguous problem spaces to identify practical AI opportunities.
• Providing technical leadership, guidance, and mentoring within the AI engineering function.
• Contributing to the wider AI strategy and future direction of the capability.

Your Skills & Experience

• Strong commercial experience delivering GenAI solutions into production environments.
• Proven ability to lead AI projects from concept through deployment and operational management.
• Excellent software engineering fundamentals and experience building scalable applications.
• Experience making architecture and technology decisions within enterprise organisations.
• Strong knowledge of modern AI engineering practices, including LLMs, RAG, agentic workflows, and MLOps concepts.
• Experience working with cloud platforms, ideally AWS.
• Ability to balance innovation with risk, governance, and operational requirements.
• Strong stakeholder management and communication skills.
• Experience within financial services or other regulated environments would be beneficial.
• Demonstrable experience operating at Lead Engineer, Technical Lead, or equivalent level.

What They Offer

• Hybrid working model with flexibility and a strong focus on outcomes.
• Opportunity to influence AI strategy within a growing and highly visible function.
• Exposure to a broad portfolio of AI transformation initiatives.
• Career progression within an expanding AI and engineering capability.
• Autonomy, ownership, and the opportunity to deliver meaningful business impact at scale.

How to Apply

If you are a Lead AI Engineer with proven experience delivering production-ready GenAI solutions and want to play a key role in shaping the future of AI within a large-scale organisation, please apply today.

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Senior Machine Learning Engineer (AdTech)

Irvine, CA (Hybrid)
Base Salary: Up to $240,000
U.S. Citizen or Green Card Holder Required

About the Opportunity

A rapidly growing technology company in the AdTech space is seeking a Senior Machine Learning Engineer to join a high-impact optimization and data science team. This role is ideal for a hands-on machine learning practitioner who enjoys building production-ready models, working with large-scale datasets, and driving measurable business outcomes through AI and machine learning.

You will own end-to-end machine learning initiatives, from problem definition and feature engineering to model deployment, retraining, and performance optimization. This position offers the opportunity to influence core advertising performance systems and work closely with product, engineering, and analytics teams.

What You’ll Do

• Design, train, evaluate, and deploy machine learning models for optimization and predictive analytics within AdTech environments.
• Analyze large-scale, multi-source datasets to uncover trends, opportunities, and performance drivers.
• Build and maintain scalable data pipelines and feature generation processes.
• Continuously improve model performance through experimentation, retraining, and feature enhancements.
• Partner with product managers and engineering teams to define requirements and deliver measurable business impact.
• Monitor model health, accuracy, and operational performance in production environments.
• Develop high-quality, maintainable code with appropriate testing, documentation, and best practices.
• Communicate technical findings and modeling decisions to both technical and non-technical stakeholders.

Required Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Mathematics, or a related technical field.
• 5+ years of professional experience in Machine Learning Engineering, Applied Machine Learning, Data Science, or a related field.
• Strong experience developing and training machine learning models using Python and modern ML frameworks/libraries.
• Advanced SQL skills and experience working with large-scale datasets and complex multi-table data environments.
• Experience within AdTech, digital advertising, marketing technology, or advertising optimization platforms is required.
• Strong understanding of feature engineering, model evaluation, and predictive modeling techniques.
• Experience building and supporting production ML systems.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with online feature stores and real-time data systems.
• Background in recommendation systems, bidding optimization, user acquisition, ad monetization, or advertising performance models.
• Experience working in cloud-based ML environments.
• Familiarity with MLOps practices and model lifecycle management.

Work Environment

• Hybrid work arrangement based in Irvine, California.
• Collaborative and fast-paced environment focused on innovation and measurable results.
• Opportunity to work on high-visibility machine learning initiatives that directly impact business performance.

Compensation & Benefits

• Competitive base salary up to $240,000
• Comprehensive benefits package
• Performance-based incentives
• Career growth and advancement opportunities
• Collaborative, technology-driven culture

Please note: Candidates must be authorized to work in the United States without sponsorship. U.S. Citizens and Green Card holders only.

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AI ENGINEER / ML ENGINEER – APPLIED AI & LLM SYSTEMS

$150,000 – $190,000 BASE SALARY

REMOTE / HYBRID (U.S.)

THE COMPANY

A high-growth technology company building AI-powered solutions to automate complex healthcare data workflows at scale.

• Focused on unstructured clinical and healthcare data transformation
• AI is core to the company’s product and long-term strategy
• Engineering-first culture with strong technical leadership
• Works with large-scale, real-world datasets in regulated environments
• Emphasis on production systems, not experimentation-only AI

THE ROLE

As an AI Engineer / ML Engineer, you’ll design, build, and scale production-grade AI systems focused on document processing, NLP, and LLM-powered workflows.

A deeply technical, hands-on engineering role with high ownership across the full AI lifecycle.

• Build and deploy scalable AI/ML systems using Python and PySpark
• Develop LLM and NLP pipelines for document extraction, structuring, and summarization
• Design and optimize batch pipelines and orchestration workflows (Airflow, Databricks, etc.)
• Productionize AI systems in collaboration with data and platform engineering teams
• Improve performance, latency, reliability, and observability of AI services
• Create evaluation and validation frameworks for model and system quality
• Work with large-scale structured and unstructured datasets
• Contribute to architecture decisions across AI infrastructure and model serving

YOUR SKILLS AND EXPERIENCE

4-10+ years of experience in AI Engineering, ML Engineering, MLOps, or Applied AI

Core Expertise:

• Building and deploying production AI/ML systems
• LLMs, NLP pipelines, or RAG-based systems
• Large-scale data processing and distributed computing

Technical Skills:

• Strong Python engineering background
• PySpark, Spark, Databricks, or similar distributed data tools
• Airflow or equivalent orchestration frameworks
• SQL and data pipeline development
• Experience with AWS, GCP, or Azure
• Monitoring, observability, and system optimization

Additional:

• Experience working with messy, real-world data environments
• Strong problem-solving and systems-thinking mindset
• Ability to own systems end-to-end from design to production

NICE TO HAVE

• Healthcare, clinical, or life sciences experience
• Familiarity with EHR/EMR, claims, or regulated datasets
• Experience with OCR, document parsing, or text extraction pipelines
• Exposure to MLflow, SageMaker, Vertex AI, or model serving frameworks

THE BENEFITS

• $150K – $190K base salary
• Flexible remote / hybrid work options
• High-impact role working on core AI systems
• Strong engineering culture with modern tooling
• Opportunity to shape architecture and technical direction
• Clear growth into senior and staff-level engineering roles

WHY THIS ROLE

This isn’t a research-only or prototype-heavy role-you’ll build AI systems that operate in production at scale.

You’ll work on meaningful, real-world problems where AI directly drives product value, with the opportunity to influence architecture, tooling, and long-term technical strategy.

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Founding AI Engineer

Fort Worth, TX (4 Days Onsite – Non-Negotiable)
Compensation: Up to $300,000 Base + Meaningful Equity

About the Opportunity

We are partnering with a well-capitalized, publicly traded company undergoing a significant AI-driven transformation. The organization operates in a highly data-rich environment and is making a substantial long-term investment in artificial intelligence, software development, automation, and intelligent decision systems.

This is not a research role.

This is an opportunity for a highly capable AI Engineer to build production-grade AI products that solve real business problems, influence strategic decisions, and ultimately become core to the company’s competitive advantage. The successful candidate will work directly with executive leadership and have a meaningful role in shaping the company’s AI roadmap from the ground up.

Why This Role Stands Out

Most AI jobs today focus on prototypes, experimentation, and proof-of-concepts.

This role is different.

You’ll be responsible for building AI systems that are actively used, trusted, and integrated into day-to-day operations. You’ll have the autonomy to identify opportunities, architect solutions, deploy production applications, and see the direct impact of your work across the business.

For engineers who enjoy operating at the intersection of:

• AI Agents
• LLM Infrastructure
• Full-Stack Product Development
• Data Systems
• Model Fine-Tuning
• Automation & Workflow Design

this is a rare opportunity to build something meaningful from an early stage.

What You’ll Be Building

AI Products & Agentic Systems

• Design and deploy AI agents that automate complex workflows.
• Build production-ready LLM applications for internal and external users.
• Develop agent orchestration frameworks and AI-powered decision-support systems.
• Create scalable architectures that move beyond demos into real-world business applications.

Generative AI Infrastructure

• Implement RAG pipelines and vector database architectures.
• Develop evaluation frameworks to measure model performance and reliability.
• Fine-tune and customize models using LoRA and modern adaptation techniques.
• Work with open-source and commercial LLM ecosystems.

Full-Stack Product Development

• Develop backend services and APIs in Python.
• Build user-facing applications using modern frontend frameworks such as React and TypeScript.
• Create intuitive interfaces that make AI useful for technical and non-technical users alike.

Data & Platform Engineering

• Design scalable data architectures and database-backed applications.
• Connect AI systems with operational and business data sources.
• Ensure applications are observable, maintainable, secure, and performant in production environments.

What We’re Looking For

We are interested in builders.

The ideal candidate has experience taking an idea from concept to deployment and can comfortably operate across multiple layers of the stack.

Core Requirements

• Strong professional software engineering experience in Python.
• Experience building production-grade AI applications.
• Hands-on experience with:
  • AI Agents
  • RAG architectures
  • Vector databases
  • LangChain, LangGraph, or similar frameworks
  • LoRA fine-tuning workflows
  • LLM evaluation methodologies
• Experience developing APIs, backend services, and scalable systems.
• Strong understanding of application security and software architecture.
• Demonstrated ability to build software that real users depend on.

Bonus Points

• React and TypeScript expertise.
• Experience serving or self-hosting open-source models.
• Experience with GGUF, Safetensors, or model optimization workflows.
• Background in distributed systems, platform engineering, or MLOps.
• Startup mentality with a bias toward execution and ownership.

Who Thrives Here

This environment is best suited for engineers who:

• Move quickly without sacrificing quality.
• Prefer ownership over bureaucracy.
• Want direct access to business leaders and decision-makers.
• Enjoy turning ambiguity into working products.
• Are excited by the opportunity to build AI systems that become mission-critical to an organization.

You’ll be joining a team that views AI as a strategic advantage-not a side project.

Location Requirement

This role is based in Fort Worth, Texas and requires onsite presence four days per week.

This requirement is non-negotiable. The company believes the strongest outcomes come from close collaboration between engineering, operations, and leadership teams, and has intentionally built an onsite-first culture around innovation and execution.

Compensation

• Base salary up to $300,000
• Meaningful equity participation
• Long-term wealth creation opportunity
• Executive visibility and influence
• Opportunity to help define the future direction of AI within the organization

Confidential Search

This search is being conducted on a confidential basis. Further company details will be shared with qualified candidates during the interview process.

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