Job Purpose :
Responsible for designing, developing and deploying Generative AI applications, AI agents and intelligent workflows to automate and enhance business processes across the organisation. The role will integrate 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 closely with business, IT, Data and Cybersecurity teams to move solutions from PoC to production.
Education & Experience:
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering or related field.
- 3–6 years of relevant software/AI development experience, including hands-on Generative AI projects.
- Strong programming skills in Python.
- Experience developing LLM, RAG, AI Agent or AI workflow automation solutions.
- Experience with APIs, databases and enterprise system integration.
- Financial services or insurance experience would be an advantage.
Technical Skills:
- Python, SQL and REST APIs
- LLMs and Prompt Engineering
- Agentic AI / AI Agents
- RAG and Vector Databases
- LangChain / LangGraph / Semantic Kernel
- Azure OpenAI, AWS Bedrock or equivalent
- MCP, CrewAI or AutoGen would be advantageous
- Git, Docker and CI/CD
