AI Engineer - India - Fully Remote

Halo believes in  innovation by inclusion  to solve  digital problems . As an international agency of over  200 people  specializing in interactive media strategy and development, we embrace equity and empowerment in a serious way. Our interdisciplinary teams of unique designers, developers and entrepreneurial minds with a variety of backgrounds, viewpoints, and skills connect to solve business challenges of every shape and size. We empathize to form  deep, meaningful relationships  with our clients so they can do the same with their audience. Working at Halo  feels like   belonging . Learn more about our philosophy, benefits, and team at  https : / / halopowered.com / As an AI Architect, you will lead the design of scalable, secure, and modern technology solutions, leveraging artificial intelligence, cloud platforms, and microservices—while ensuring alignment with AI governance principles, agile delivery, and platform modernization strategies

Overview

We’re seeking AI Engineers to help design, build, and deploy next-gen AI solutions across Mercer’s global ecosystem. You will work on Generative AI, RAG pipelines, and AI agents that power internal tools, chatbots, and decision-support systems used by our consultants. This hands-on engineering role bridges full-stack software development and advanced AI techniques.

Requirements

• Design and implement AI-driven applications , copilots, and conversational agents using LLMs (OpenAI, Anthropic, Azure OpenAI).
• Build and maintain RAG pipelines using text chunking , embeddings , and vector databases (e.g., MongoDB Atlas Vector Search, FAISS, Pinecone, Weaviate).
• Develop and optimize prompting strategies and agent reasoning logic.
• Engineer LLM-based middleware integrations using Python and Node.js.
• Contribute to full-stack application development using the MEAN stack (MongoDB, Express, Angular, Node.js).
• Support secure architecture by implementing MFA , OAuth flows , and containerized deployments.
• Manage CI / CD pipelines using GitHub and Jenkins , and work with containerized deployments .
• Collaborate with cross-functional teams (data scientists, product owners, platform engineers) to bring prototypes into production.
• Maintain code quality, observability, and robustness with proper testing and documentation.

Required Skills & Qualification

Good to have

Preferred Tools & Stack

Benefits