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Senior Forward Deployed Engineer

Harnham

Washington, DC · Posted November 3, 2026

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About the job

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Senior Forward Deployed Engineer Washington, DC (Hybrid) $200,000 – $250,000 + Bonus + Equity This is an opportunity to join a high-growth AI organisation solving complex real-world challenges through advanced machine learning and software engineering. You’ll work at the intersection of AI, infrastructure, and product delivery, taking ownership of critical systems that move rapidly from concept to production.

The Company They are a venture-backed technology business focused on building and deploying next-generation AI solutions. Operating in a fast-paced and highly technical environment, they partner with sophisticated organisations to solve large-scale operational challenges using modern machine learning techniques. Their team is made up of experienced engineers, researchers, and product specialists working on some of the most exciting applications of AI today.

The Role As a Senior Forward Deployed Engineer, you will lead the design, development, and deployment of production-grade AI systems. You will work closely with stakeholders to understand complex requirements and translate them into scalable, reliable solutions. Key responsibilities include:

Designing and deploying AI applications from prototype through to production

Building LLM-powered products, agentic workflows, and retrieval-augmented systems

Developing data pipelines, evaluation frameworks, and model improvement processes

Designing infrastructure to support experimentation, inference, deployment, and monitoring

Driving architectural decisions across business-critical projects

Collaborating with technical and non-technical stakeholders to deliver impactful solutions

Ensuring system reliability, scalability, security, and performance

Providing technical leadership and mentoring engineers across the team

Your Skills & Experience

Strong commercial software engineering experience delivering complex production systems

Advanced Python development skills with a track record of technical ownership

Experience building and deploying LLM, generative AI, or machine learning applications

Strong understanding of data engineering, model evaluation, and scalable infrastructure

Experience working with cloud platforms and distributed systems

Ability to navigate ambiguity and solve challenging technical problems independently

Excellent communication skills with the ability to engage a range of stakeholders

Experience operating within highly regulated or technically demanding environments is advantageous

What They Offer

Base salary of $200,000 – $250,000

Performance-related bonus

Equity participation programme

Comprehensive healthcare support

Retirement savings plan with employer contributions

Generous paid time off

Flexible hybrid working environment

Exposure to cutting-edge AI and machine learning technologies

Significant ownership, autonomy, and career progression opportunities

How to Apply If you’re interested in building and deploying advanced AI systems at scale, please apply with your CV for a confidential discussion.

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