Software Engineer - AI Platform

present of AI; Mumbai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

InferEdge is building autonomous financial research agents and the tooling that feeds them with market data. You will work on production-grade Python backends, crafting robust data models and reliable data pipelines to keep AI agents dependable in real market conditions.

In this role you will contribute to design decisions that determine what correct looks like for clients, own the systems when failures occur, and push features from prototype to production with an emphasis on reliability and

Qualifications

• 2+ years of backend experience in Python and SQL.
• Able to design data models with foresight to failures.
• Capable of taking vague problems to production and keeping systems running.

Responsibilities

• Build and harden the core systems behind AI agents.
• Develop data pipelines and the testing setup for reliability.
• Plan and implement production-ready backend services.
• Improve observability and failure handling for long-running jobs.

Skills

Python

SQL

Data modeling

Production-ready systems

Tools

PostgreSQL

Data pipelines

Job description

The role is about building and hardening the core systems behind AI agents that do investment research: the agents themselves, the tools that feed them market data, the data pipelines, and the testing setup that catches failures. A strong candidate has a couple of years of backend work in Python and SQL, plans data models carefully, thinks ahead about what can break, and can take a loose problem all the way to production and keep it running.

How it fits the AI era

AI agents do the analyst work here, so much of the engineering is making their output dependable on real financial data, and coding agents are a normal part of how the team builds. What stays human is system design, judgment about trade-offs, deciding what correct looks like for a client, and owning the system when it breaks.

How it builds AI experience

Someone in this role would work directly on production agents, tool connections that give language models access to data, and an evaluation setup that learns from past failures, all used by real investment firms. To build this experience beforehand, make a small agent that answers questions over public company filings, then write tests that catch its wrong answers and track them over time.

Worth showing

• Backend systems in Python and SQL
• System design and failure thinking
• Taking vague problems to production
• Daily use of coding agents
• Testing or evaluating LLM output

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About InferEdge

InferEdge builds autonomous financial research agents that produce customized equity and credit coverage in the exact tone and format of buy-side investment analysts.