About the Role

As a Lead Developer, you will own and evolve the core platform services that
power our AI-driven products. You will design and build production-grade APIs,
LLM-based extraction and enrichment pipelines, and agentic workflows — ensuring
they are reliable, performant, and scalable.

You will work closely with AI engineers, front-end developers, and product
stakeholders to translate investment use cases into robust back-end solutions.

This role is ideal for an engineer who combines deep Python expertise with
hands-on experience building LLM-driven applications and who thrives in a
quick-paced, product-oriented workplace.

Key Responsibilities
Design, develop, and maintain back-end services and REST APIs using Python
and FastAPI, serving both internal and external consumers.
Build and optimise LLM-based pipelines for information extraction,
summarisation, and classification across diverse source types.
Develop and maintain agentic AI workflows using LangGraph, including tool
orchestration, multi-step reasoning chains, and feedback loops.




Extend and operate the MCP server layer (FastMCP), enabling seamless
integration of AI capabilities into third-party tools and workflows.
Design and maintain data models and query patterns in MongoDB Atlas,
leveraging both its document database and vector store capabilities for RAG
pipelines.
Build and manage data processing and scheduling pipelines using Apache
Airflow, deployed on AWS EKS.
Collaborate with front-end engineers to define clean, well-documented API
contracts and ensure effective data flows.
Implement robust testing strategies (unit, integration, end-to-end) and
contribute to CI/CD pipelines for reliable, automated deployments.
Participate actively in agile ceremonies, code reviews, and architectural
discussions, contributing to a culture of engineering excellence.
Monitor, troubleshoot, and improve system reliability and performance across
the platform.

Experience
Years

📌 Lead Developer Bengaluru
🏢 Brevan Howard
📍 Bengaluru