Job DescriptionWe're partnering with a high-growth software company building advanced open-source intelligence technology for complex, real-world intelligence environments.
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They're making their first dedicated AI Engineering hire in the US - a key appointment that will work directly with the Co-Founder and senior Product leadership, with significant scope to influence the direction of their AI capability as the US engineering team grows.
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This isn't a role focused on experimentation or building another AI proof of concept.
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You'll be building production AI systems, Generative AI and agentic capabilities directly into an established software platform, solving complex problems across large volumes of structured and unstructured information.
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Important - ship is required for this position\\n
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Location: Arlington, VA
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On-Site is a strong preference
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Salary: $170k-$200k Base + Benefits (benchmarking)
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What You\'ll Do\\n
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\\n - Design, build and productionise AI systems, GenAI and agentic AI capabilities
\\n - Develop LLM-powered features and AI agents that solve complex, real-world intelligence problems
\\n - Integrate new AI capabilities into an established enterprise software platform
\\n - Take ideas from early prototype through to scalable, reliable production systems
\\n - Work across AI architecture, orchestration, evaluation, monitoring and performance
\\n - Build and deploy cloud-based AI services across AWS/Google Cloud Platform environments
\\n - Work with large volumes of complex structured and unstructured information
\\n - Partner closely with Product, Software Engineering and Data Science teams
\\n - Work directly with the Co-Founder and Head of Product on the direction of the AI capability
\\n - Help establish the foundations for a US AI Engineering team expected to grow to around five people
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What You\'ll Bring\\n
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\\n - 5+ years\' experience across Software Engineering, AI Engineering or Machine Learning Engineering
\\n - Strong software engineering fundamentals and experience building production applications or systems
\\n - Commercial experience building and deploying AI/ML systems into production
\\n - Hands-on experience with LLMs, Generative AI and/or agentic AI
\\n - Strong Python development skills
\\n - Experience integrating AI capabilities into broader software products and platforms
\\n - Cloud engineering experience across AWS, Google Cloud Platform or similar
\\n - Understanding of AI evaluation, monitoring, reliability, scalability and performance
\\n - Experience with modern AI frameworks, APIs and tooling
\\n - Strong problem-solving skills and the ability to work autonomously in an evolving environment
\\n - Experience with Java/Spring, NLP, RAG, information retrieval or large-scale data platforms would be highly regarded
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This is a chance to get in at the beginning of a company\'s US AI Engineering capability, while still having the backing, product and customers of an established international software business.
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You\'ll work directly with senior leadership, have genuine influence over technical direction and help shape the engineering capability as the US team expands.
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Most importantly, you\'ll be working on AI systems that actually make it into production - tackling difficult engineering problems across GenAI, agents, large-scale information processing and intelligence software.
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