Generative AI Workflow & Agent Developer

About the role

This role is responsible for designing, developing and deploying Generative AI applications, AI agents and intelligent workflows that automate and improve business processes across the organisation. It integrates AI solutions with enterprise systems while ensuring scalability, security and responsible AI practices.

Key responsibilities

• Develop Generative AI applications, AI agents and agentic workflows using Large Language Models (LLMs)
• Build RAG-based solutions using enterprise documents and knowledge sources
• Automate business processes through AI-driven workflows and intelligent agents
• Integrate AI solutions with internal applications, databases and APIs
• Develop reusable prompts, tools, agent components and orchestration workflows
• Implement guardrails, access controls, monitoring and human-in-the-loop approvals
• Test and optimise AI solutions for accuracy, performance, reliability and cost
• Work with business, IT, Data and Cybersecurity teams to move solutions from proof of concept to production

Required profile

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering or a related field
• 3-6 years of software/AI development experience, including hands-on Generative AI projects
• Experience developing LLM, RAG, AI Agent or AI workflow automation solutions
• Experience with APIs, databases and enterprise system integration
• Financial services or insurance experience is an advantage

Required skills

• Strong Python programming; SQL and REST APIs
• LLMs and prompt engineering, agentic AI, RAG and vector databases
• Azure OpenAI, AWS Bedrock or equivalent
• Git, Docker and CI/CD
• Advantageous: LangChain / LangGraph / Semantic Kernel, MCP, CrewAI or AutoGen