Agentic AI Developer

Description

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

The role:

• 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

Responsibilities

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Qualifications

• 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
• 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

WTW is an Equal Opportunity Employer

Required Experience:

Unclear Seniority

Employment Type : Full-Time
Department / Functional Area: Administrative Services
Experience: years
Vacancy: 1