{"id":3667551,"url":"https://alion.io/job/inferedge-software-engineer-ai-platform","title":"Software Engineer - AI Platform","company":{"id":3778358,"name":"InferEdge","domain":"inferedge.com","url":"https://alion.io/company/inferedge","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":3500000,"max":4500000,"currency":"INR","period":"year","gross":null,"usd_annual":48092},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-03T07:24:34Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-07T06:18:14Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About InferEdge\nInferEdge builds AI agents that do the work of research analysts, portfolio managers, risk managers and product analysts at investment firms. Funds managing billions of dollars run them in production and pay us for the results.\nFounded in 2025, with 15 customers in India and Singapore, including Temasek and Mahindra Manulife Mutual Fund\nBacked by Y Combinator, with a $5 mn round raised\nFounders with finance and tech backgrounds (Goldman Sachs, Tata Capital, a US hedge fund); engineers from Amazon Alexa, Wells Fargo, Deutsche Bank and SAP\nHow we deliver\nA client gives us work their team does by hand today. We build an AI agent that does it, and the client pays for the result. The agent has to be right on their real data, every month.\nEverything we deliver runs on four foundational capabilities: agents, plugins, data pipelines and an evaluation framework. You will be responsible for building foundational capabilities and strengthening existing ones.\nWhat you'll build\nYou'll go deep on at least one of these systems and work across the rest.\nAgents. They do analyst work on financial data. Making them reliable is the hard part.\n\nPlugins. MCP tools and specialised skills that give an LLM access to market data and knowledge.\n\nData pipelines. 100+ sources, 1M new data points a day and 5M+ documents.\n\nEvaluation framework. Finds agent failures, tracks performance and uses past failures to improve the agent.\n\nStack: Python, Postgres, Airflow, AWS and Kubernetes.\nWhy this role\nYou take a system from design to production. There are no handoffs.\nYou work on large systems early: 100+ data sources, millions of documents, and agents used by funds that manage billions of dollars.\nWhat you build goes live in days and is used by real clients.\nWe are AI-first in how we build. Coding agents are part of everyday work here, and you'll be expected to use them well.\nWhat we're looking for\n2+ years building backend systems, ideally at a startup\nStrong system design: you can plan data models, think through what can fail, and explain your trade-offs\nOwnership: you take a vague problem to production and keep it running\nComfort with large codebases and many moving parts\nPython, SQL, and experience with AI-first development, or a strong interest in it\nLocation and compensation\nLocation: Mumbai, work from the office\nCompensation: cash and ESOPs, based on experience\nThe interview process is designed to evaluate your ability and cultural fit at InferEdge. We prefer hiring engineers who can execute their work independently and have strong problem-solving skills.\nWe have one phone screener followed by 2-3 technical rounds of interviews. 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