Senior AI Engineer

Fundmore.ai Inc.; India; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Fundmore.ai Inc. is seeking an experienced AI software engineer to own end-to-end production features across TypeScript/Python. You will architect RAG systems, build evaluation frameworks, and optimize for cost, latency, and accuracy while running services on AWS with Postgres.

You’ll mentor junior engineers and shape engineering standards, guiding build-vs-buy decisions with evidence. The role demands 5–8 years in software with 3+ years in AI/ML, hands-on LangChain/LangGraph, MCP, Python, SQL,

Qualifications

• 5–8 years building production software with at least 3 years in AI/ML.
• Hands-on LangChain/LangGraph or similar frameworks.
• Production experience with MCP, Python, vector databases or model-governance practices.
• Strong SQL and Postgres design under load.
• Track record shipping LLM-powered systems (RAG, prompts, evaluation, agentic patterns).
• Solid AWS experience and reliability mindset.
• Ability to design frameworks from scratch following software design principles.

Responsibilities

• Own the design and delivery of production AI features end-to-end.
• Architect RAG and agentic systems; build evaluation frameworks for cost, latency and accuracy.
• Run services on AWS (Lambda, API Gateway) with Postgres and access models via AWS Bedrock.
• Integrate tools and data via MCP and ensure reliability and observability.
• Set engineering standards, review hard, and mentor junior engineers.
• Make sharp build-vs-buy calls with evidence.

Tools

LangChain

LangGraph

MCP

Python

Vector databases

Model governance

SQL

Postgres

LLM-powered systems

RAG

AWS

AWS Bedrock

TypeScript

Job description

What you’ll do

• Own the design and delivery of production AI features, end to end, across Angular and NestJS / TypeScript / Python — TypeScript preferred.
• Architect RAG and agentic systems. Build the evaluation frameworks that prove they work, and tune them for cost, latency, and accuracy.
• Run services on AWS (Lambda, API Gateway) with Postgres, and access models via AWS Bedrock. Integrate tools and data via MCP, and own reliability and observability.
• Set engineering standards, review hard, and mentor junior engineers.
• Make sharp build-vs-buy calls and back them with evidence.
• Handle sensitive financial data responsibly — our product serves regulated lenders.

What you bring

• 5 to 8 years building production software, with at least 3 years in AI / ML.
• Hands-on experience with LangChain, LangGraph or similar frameworks.
• Hands-on production experience with MCP, Python, vector databases, or model-governance practices.
• Strong SQL and Postgres — you design schemas and queries that hold up under load.
• A track record shipping LLM-powered systems: RAG, prompting, evaluation, and agentic / tool-use patterns.
• Solid knowledge of AI Gateway / ACP / MCP / A2A and orchestration tools.
• Solid AWS, and a real grasp of how to keep production systems fast and reliable.
• The ability to design a framework from scratch following software design principles, and the judgment to know which design pattern applies.
• A habit of guiding junior AI engineers to the outcome, and grooming them.
• A working sense of the trade-off between cost, performance and quality.
• Judgment — you know which problems deserve a model, which deserve code, and which deserve neither.

Nice to have

• Deep TypeScript, with strong Angular and NestJS.
• Fintech or financial-services experience.
• Familiarity with data-privacy frameworks for financial data such as PIPEDA — our customers are Canadian lenders.