Agentic AI Developer

Willis Towers Watson; Philippines; On-site; PHP 1,500,000 - 2,100,000; Full time

Job summary

Willis Towers Watson in the Philippines seeks an AI Developer to design, build, and operate enterprise-grade AI-enabled solutions, focusing on agent-based workflows that integrate large language models with internal platforms and services to ensure production-ready reliability, security, and compliance.

You will collaborate with product managers and engineers to implement prompts, memory, and retrieval systems, deploy services, monitor metrics, and contribute to incident response and runbooks

Qualifications

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

Responsibilities

• 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

Skills

C#

Python

Azure

LLM integration

Prompt engineering

API design

TypeScript

Tools

LangGraph

LangChain

Pinecone

Azure AI Foundry

Microsoft Agent Framework

Job description

About the role

The AI Developer designs, develops, and operates enterprise-grade AI-enabled solutions, with a primary focus on agent-based workflows that integrate large language models with internal platforms and services. The role operates within established architectural direction and is accountable for delivering reliable, maintainable, and production-ready solutions that meet business, security, and compliance requirements.

Key responsibilities

• 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

About you

• Minimum 4 years' experience developing backend or service-based systems using C# and/or Python
• At least 1 year of hands-on experience working with large language models, prompt engineering, or AI-enabled 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 trade-offs to technical and non-technical stakeholders
• Demonstrated ability to learn and adapt in a rapidly evolving technology environment
• Programming: C#; Python (production services, async workflows, automated testing); TypeScript optional
• 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)