Lead Developer
Brevan Howard Investment Management2 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, and maintain Python backend services and production REST APIs using FastAPI.
- Build and optimize LLM-based extraction, enrichment, summarization, and classification pipelines.
- Develop and maintain LangGraph agentic workflows with tool orchestration, multi-step reasoning, and feedback loops.
- Extend and operate the FastMCP/MCP server layer for integrating AI capabilities with third-party tools and workflows.
- Design MongoDB Atlas data models and query patterns, including document database and vector store capabilities for RAG pipelines.
- Build and manage Apache Airflow data processing and scheduling pipelines deployed on AWS EKS.
- Collaborate with frontend engineers and product stakeholders on API contracts and efficient data flows.
- Implement unit, integration, and end-to-end testing and contribute to CI/CD pipelines.
- Monitor, troubleshoot, and improve platform reliability and performance.
- Participate in code reviews, architectural discussions, and agile ceremonies.
Requirements
- 10–17 years of professional software engineering experience focused on Python backend development.
- At least one year of hands-on experience building LLM-based applications, such as RAG, agent-based systems, LLM-driven extraction, or prompt engineering.
- Deep Python proficiency, including modern asynchronous frameworks such as FastAPI, Python packaging, dependency management, and best practices.
- Experience with MongoDB or similar document databases; familiarity with vector stores and embedding-based search is preferred.
- Practical experience with AWS, Docker, Kubernetes/EKS, and Apache Airflow.
- Proven ability to design, build, and document clean, versioned, production-ready RESTful APIs.
- Strong understanding of Git, testing frameworks such as pytest, CI/CD pipelines, and software engineering practices.
- Ability to communicate technical decisions clearly to technical and non-technical stakeholders.
- Experience with FastMCP or the MCP ecosystem and familiarity with LangGraph or similar agent orchestration frameworks are preferred.
- Experience processing unstructured data from PDFs, audio, or messaging platforms is preferred.
- Understanding of capital markets, investment research workflows, or financial data is preferred.
- Experience with observability and monitoring tools such as DataDog, Prometheus, or Grafana is preferred.
- Degree in Computer Science, Software Engineering, or a related discipline, or equivalent practical experience.
Tech Stack
Categories
About Brevan Howard Investment Management
Brevan Howard Investment Management is a global alternative investment manager focused on macro and related strategies for institutional investors such as sovereign wealth funds, pensions, foundations, and endowments. It runs hedge funds and separate accounts, earning management and performance fees. Founded in 2002 and headquartered in London, the firm operates from multiple international offices, including New York, Geneva, Hong Kong, Abu Dhabi, and Singapore.