AI Engineer

• Build and deploy AI solutions alongside researchers and clients in public policy analysis, consultancy and research
• Build LLM applications and agentic workflows, including agent harnesses, context and memory systems, tool integrations and orchestration, with appropriate permissions and human oversight
• Define problems and evaluate architectural approaches such as agentic RAG, GraphRAG, vector search, single-agent or multi-agent systems, and post-training methods
• Select approaches balancing research and business needs with task quality, reliability, complexity and cost
• Turn prototypes into reliable, deployable tools
• Develop pipelines, APIs and interfaces
• Validate performance and failure handling on realistic research tasks
• Ensure data protection, reproducibility and monitoring
• Maintain and improve deployed solutions through user feedback
• Work with policy researchers to apply AI and data science methods to research questions
• Validate results against expert judgement and simpler methods
• Preserve source references and reproducible workflows
• Contribute to analytical reports and evaluation methodologies
• Work with clients and project teams to understand needs, define requirements and success criteria
• Demonstrate tools, gather feedback, support adoption and contribute to technical proposals and clear policy-relevant findings

AI Engineer / Forward Deployed Engineer

• Build LLM applications and agentic workflows for research and analysis
• Develop agent harnesses, context and memory systems, tool integrations and orchestration with appropriate permissions and human oversight
• Help define problems, test alternative architectures and compare agentic RAG, GraphRAG, single-agent, multi-agent and simpler approaches
• Balance quality, reliability, complexity, cost and research needs using evidence
• Turn prototypes into reliable, deployable tools
• Build pipelines, APIs and interfaces
• Test performance and failure handling on realistic tasks
• Support data protection, reproducibility and monitoring
• Apply AI and data science methods to real research questions with policy researchers
• Validate results against expert judgement and simpler methods
• Preserve source references and reproducible workflows
• Contribute to analytical outputs
• Work with project teams and clients to understand needs and define requirements and success criteria
• Demonstrate solutions, gather feedback and support adoption
• Contribute to technical proposals and policy-relevant findings
• Take on increasing ownership with initial guidance on complex or ambiguous tasks

Junior AI Engineer – Forward Deployed Engineer

• Design, build, and deploy AI agents that automate real business processes, such as generating proposals for client tenders
• Integrate LLMs, including OpenAI, Gemini, Anthropic, and open-source models, into existing software products
• Enable AI features such as chatbots that act directly within clients' systems and data
• Identify automation opportunities and turn them into working solutions
• Select appropriate LLM and tooling approaches by evaluating cost, performance, and reliability
• Own delivery end-to-end, from prototype to production