Agentic AI Developer

Design and delivery of AI‑enabled application components and agent workflows. Reliability, performance, and operational supportability of deployed solutions. Adherence to enterprise engineering standards, security controls, and data governance requirements

The role:

• Design, build, and test multi‑step agent workflows using established patterns such as ReAct, planner‑executor, and tool‑chaining
• Integrate LLMs (i.e. Claude and OpenAI) with enterprise APIs and internal systems, including robust handling of retries, edge cases, and degraded states
• Implement tool calling, function orchestration, and compensating actions to ensure workflows remain stable under failure conditions
• Design and implement human‑in‑the‑loop controls, including approvals, escalations, and exception handling where required by business logic or risk considerations
• Collaborate with product managers, domain experts, and technical stakeholders to refine requirements and translate them into technical designs
• Develop, maintain, and version prompt logic and supporting documentation in line with agreed standards
• Build and manage agent memory and retrieval mechanisms using vector databases and retrieval‑augmented generation (RAG), ensuring context remains relevant and high‑signal
• Deploy AI services to production environments and actively monitor logs, traces, and metrics to detect and resolve issues
• Contribute to test coverage, operational runbooks, and incident response practices in collaboration with QA and operations teams
• Support continuous improvement of system reliability, performance, and maintainability