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. 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.

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).
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.

2+ years of experience in AI/ML or full-stack software engineering.

- Hands-on experience building LLM-based applications , RAG solutions , or AI agents .
- Proficient in Python and/or Node.js and familiar with up-to-date backend/middleware patterns.
- Solid experience in MongoDB , including vector search capabilities (Atlas Vector Search preferred).
- Experience with MEAN stack (MongoDB, Express, Angular, Node.js).
- Experience implementing or integrating Multi-Factor Authentication .
- Strong communication skills – able to explain AI concepts to non-technical stakeholders.

MEAN stack, Python, or any other middleware technologies.
Vector Databases : MongoDB vector databases
Git , CI/CD , Docker , and cloud platforms (especially Azure )

100% Remote Work.
~ Get to work on challenging projects for the U.

📌 AI Programmer - Remote Working (India)
🏢 Halo Media
📍 India