Role: Staff Engineer – AI & Agentic Development
Experience: 8+ Years in Software Engineering
AI Experience: 3+ Years in AI/ML, including 1+ Year of production experience with LLM-powered or Agentic solutions
Location: Mumbai / Bangalore
Job Description
We are looking for a Staff Engineer to lead the architecture, development, and delivery of AI-powered and Agentic solutions for a cloud-based financial technology platform.
The role involves building production-ready AI features using LLMs, RAG, AI agents, and tool integrations, along with providing technical direction across engineering teams.
Key Responsibilities
- Design and develop AI agent architecture, orchestration, and tool integrations.
- Build LLM-powered features using prompt engineering, RAG, and multi-step agent workflows.
- Develop and maintain MCP servers and third-party integrations.
- Integrate AI capabilities into existing backend services and business workflows.
- Establish AI evaluation, testing, monitoring, and security standards.
- Drive technical architecture and design decisions across teams.
- Mentor engineers and collaborate with product, design, and security teams.
- Ensure reliability, scalability, data privacy, and safe deployment of AI solutions.
Required Skills
- 8+ years of software engineering experience.
- 3+ years of hands-on AI/ML product development experience.
- At least 1+ year of production experience with LLM-powered or Agentic solutions.
- Strong expertise in Python.
- Hands-on experience with LLM integration, Prompt Engineering, RAG, Function Calling, and Agent Orchestration.
- Strong understanding of System Design, REST APIs, Distributed Systems, and Microservices.
- Experience leading technical initiatives across multiple teams.
Good to Have
- Hands-on experience with MCP (Model Context Protocol) servers.
- Experience with LangChain, LlamaIndex, OpenAI, or Anthropic.
- FinTech, Payments, Accounting Automation, or Financial Services domain experience.
- Knowledge of Azure cloud services, SQL Server, and .NET/C#.
- Experience with AI safety, evaluation frameworks, and human-in-the-loop workflows.
- Familiarity with ISO 20022, SWIFT, NACHA, or accounting system integrations.
- Experience with AI-assisted development tools such as Claude Code, Cursor, or Copilot.
