Agentic AI Developer (Night Shift)

Key Accountabilities

• Design and delivery of AIenabled application components and agent workflows
• Reliability performance and operational supportability of deployed solutions
• Adherence to enterprise engineering standards security controls and data governance requirements

Principal Responsibilities

• Design build and test multistep agent workflows using established patterns such as ReAct plannerexecutor and toolchaining
• 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 humanintheloop 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 retrievalaugmented generation (RAG) ensuring context remains relevant and highsignal
• 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

Knowledge Skills & Experience

Essential

• Minimum 4 years experience developing backend or service-based systems using C# and/or Python

• At least 1 year of handson experience working with large language models prompt engineering or AIenabled systems
• Strong analytical and debugging skills with the ability to reason across APIs data flows and AI system behavior
• Ability to clearly communicate technical decisions and tradeoffs to technical and nontechnical stakeholders
• Demonstrated ability to learn and adapt in a rapidly evolving technology environment

Technical Skills (Required)

• Programming: C# Python (production services async workflows automated testing)
• Cloud Platform: Azure (compute storage identity deployment pipelines)
• LLM Integration: Claude and/or OpenAI APIs (prompting tool calling rate limits error handling)
• Agent Orchestration: Azure AI Foundry Microsoft Agent Framework; optional alternatives include LangGraph and LangChain.
• Vector Databases: Pinecone or equivalent (indexing retrieval relevance tuning)
• APIs & Integration: RESTful APIs enterprise authentication servicetoservice integration
• Observability: Application logging metrics and tracing in production environments

Desirable

• Docker and Azure Container Services
• SQL Server or other relational databases
• Azure Cosmos DB
• Experience in regulated or compliance driven environments
• AI Governance and AI Security is a plus

WTW is an Equal Opportunity Employer