Artificial Intelligence Developer (Pro Code)

About the Company

WTW Global Delivery And Solutions is part of one of the world’s foremost risk management and insurance intermediaries. They specialize in identifying, analyzing, and managing risk by delivering tailored services such as risk transfer, management, loss and actuarial consulting, and financial/employee benefits advice. The company prides itself on an entrepreneurial mindset and a commitment to providing customized solutions, blending local service with a robust global network. Constant innovation is pursued across offerings, from advanced product solutions to streamlined claims processing.

Role Overview

The organization is seeking a skilled pro-code Artificial Intelligence Developer focused on creating production-level AI systems using primarily Python. The successful candidate will design and construct AI agents, retrieval-augmented generation (RAG) pipelines, and AI-powered applications by orchestrating large language models (LLMs) with tools like LangChain, LangGraph, and AutoGen. This role also involves integrating AI seamlessly into enterprise ecosystems using API and Model Context Protocol (MCP) strategies and managing deployments on cloud platforms such as Azure AI Foundry.

Responsibilities

• Architect and develop AI agents, RAG pipelines, and AI-driven applications primarily in Python utilizing frameworks such as LangChain, LangGraph, and AutoGen.
• Employ sophisticated RAG techniques including hybrid search, re-ranking, contextual chunking, and strategies supporting extensive contexts.
• Implement agent orchestration patterns like ReAct, plan-and-execute, and multi-agent coordination.
• Build and integrate APIs and enterprise connectors, including MCP protocol, to enable AI capabilities in enterprise systems.
• Deploy, configure, and manage AI workloads in cloud environments, ensuring end-to-end ownership from prototype through production.
• Design scalable AI solutions attentive to performance, throughput, latency, cost-efficiency, and dependability as projects scale from proofs of concept to enterprise-wide adoption.
• Rapidly prototype solutions by transforming loose ideas or business needs into functional demonstrators swiftly with iterative improvements.
• Apply rigorous engineering principles regarding error handling, solution evaluation, observability, security, and access control.

Qualifications

• Five to eight years of robust hands-on software engineering experience in Python, capable of producing tested and maintainable production code.
• Direct experience with frameworks like LangChain, LangGraph, and/or AutoGen, focusing on building multi-agent AI systems using agentic orchestration.
• Proficiency building advanced RAG systems implementing techniques such as hybrid search, re-ranking, and long-context strategies.
• Strong background in designing and consuming RESTful APIs and integrating systems, with familiarity in emerging MCP integration patterns.
• Solid command of cloud infrastructure and services on at least one major platform (preferably Azure, alternatively AWS or GCP). Experience provisioning, deploying, and operating AI workloads including Azure AI Foundry or similar platforms is essential.
• Expertise in designing AI solutions for production considering factors such as caching, asynchronous processing, load balancing, scaling horizontally, and cost optimization.
• A demonstrated capacity for rapid prototyping leveraging AI-assisted development and iterative refinement.

Preferred Qualifications

• Knowledge of AI evaluation and observability tools like Ragas, LangSmith, Promptflow evals, and Azure Monitor.
• Understanding of AI safety practices, responsible AI principles, and implementation of enterprise guardrails such as content filters and grounding verification.
• Experience with low-code AI development platforms (e.g., Microsoft Copilot Studio, Power Platform) or agent builder platforms (e.g., Lyzr, Moveworks) to enable rapid solution delivery where suitable.
• Exposure to integration with Microsoft 365, Dataverse, or similar enterprise ecosystems.

Candidate Profile

The ideal applicant is primarily a software engineer who has transitioned into AI roles, comfortable coding and thoughtfully architecting solutions spanning prototyping to full production systems. They favor coding over low-code unless such tools clearly accelerate delivery, embracing swift proof-of-concept development over delayed perfection.

Eligibility

This opportunity is open to any graduate.