Senior Applied AI Engineer

Senior Applied AI Engineer – Bay Area, CA / Seattle, WA **To be considered for this role, you must be holding either US Citizenship, a Green Card or right to work in the USA. This company cannot offer visa sponsorship** Discover the Opportunity We're partnering with one of the world's leading digital asset and financial technology platforms that is investing heavily in AI as a core capability across its business. This is not a research-focused role. The organisation is looking for engineers who can take AI from concept to production, building systems that solve real business problems and become embedded into day-to-day operations. You'll work on high-impact initiatives spanning customer experiences, internal productivity, developer tooling, automation, and intelligent workflows. Although the role is primarily remote, there will be opportunities to collaborate in person with teams in the Bay Area. This is an exceptional opportunity for an engineer who enjoys building, shipping, and owning production-grade AI systems at scale. Discover the Responsibilities Design, develop, and deploy production-ready AI applications powered by large language models and agentic workflows Build intelligent systems using techniques such as RAG, tool calling, task orchestration, and multi-agent architectures Evaluate, integrate, and optimise frontier and open-source models, balancing performance, latency, and cost considerations Develop robust evaluation frameworks to benchmark AI systems, detect regressions, and maintain production quality standards Partner closely with product, engineering, and cross-functional teams to identify high-value AI opportunities and deliver measurable outcomes Build scalable backend services and APIs that enable the integration of AI capabilities into customer and internal products Champion modern AI engineering practices and help teams improve their productivity through AI-assisted development workflows Mentor engineers and contribute to establishing best practices for the development and operation of AI systems Discover the Requirements 5+ years of software engineering experience, including at least 2 years building and deploying LLM-powered applications in production environments Demonstrated track record of shipping AI products that deliver measurable business impact, rather than purely experimental or research initiatives Strong experience with prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures Hands-on experience with frameworks such as LangChain, LlamaIndex, AutoGen, or similar technologies Excellent Python engineering skills with the ability to build scalable, maintainable backend systems Experience building end-to-end AI applications, from problem definition through deployment and ongoing optimisation Familiarity with AI-assisted development tools and coding agents that accelerate software delivery (e.g. Claude Code, Cursor, Copilot, Codex) Strong communication skills and the ability to operate independently within fast-paced environments Preferred Experience Experience applying AI within regulated, security-sensitive, or financial environments Exposure to model fine-tuning techniques, including parameter-efficient adaptation approaches Contributions to open-source projects, technical communities, or published thought leadership related to AI engineering Previous experience within AI-native organisations or advanced engineering teams focused on large-scale AI adoption Why Join? Help shape how AI is embedded across a globally recognised technology platform Work on production systems used by real customers and internal teams at scale Collaborate with highly talented engineers who are pushing the boundaries of applied AI Join an organisation where AI is viewed as a strategic capability and a key driver of future innovation. Show more Show less