Agentic AI Developer Night Shift

WTW; Philippines; On-site; PHP 1,116,000 - 2,232,000; Full time

Job summary

WTW is seeking an experienced backend/AI engineer to design and deliver AI-enabled application components and agent workflows. You will integrate LLMs with enterprise APIs, ensure reliability, and implement robust controls for production systems.

Collaborating with product managers and technical stakeholders, you will develop prompts, manage memory/RAG, and monitor production deployments for reliability and performance.

Qualifications

• Minimum 4 years’ experience developing backend or service-based systems using C# and/or Python.
• At least 1 year of hands-on experience 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.

Responsibilities

• Design, build, and test multi-step agent workflows using patterns such as ReAct, planner‑executor, and tool‑chaining.
• Integrate LLMs (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 backend

LLM / prompt engineering

Analytical & debugging

Technical decision communication

Adaptability

Tools

Azure

LangGraph

LangChain

Pinecone

RESTful APIs

Cosmos DB

Job description

Job Description:

Description

Key Accountabilities

• 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

Principal 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

Qualifications

Knowledge, Skills & Experience

Essential

• 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

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, service‑to‑service 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

Requirements: