Information Technology & SoftwareFull time
3 Nov
Staff Engineer – AI & Agentic Development
Mumbai, Bangalore, India
Full time
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.