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Salary
≈ $22k – $54k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 4+ years exp

First seen by Alion on Sep 29, 2026.

Overview
Company
Impact
Profile match
InCommon is talent infrastructure for AI-native companies: a high-quality talent pool, an AI engine, and human judgement that hire engineers who stay.

Role Overview :

As an Agentic Software Engineer reporting directly to the Chief AI Officer, you'll rapidly enhance and modernize products across the entire portfolio. Our products are systems of record in the commodities world, deeply entrenched in customer workflows; your work will bring them into the AI-enabled future.

What You'll Do :

- Build new user-facing products, from working prototype to production release in days and weeks.

- Work the full stack, from data model and services through to the interface, and iterate with product managers, designers, and customers.

- Modernize established products, front-end and the services behind them, to drive new sales and customer retention.

- Extend products with AI-native capabilities such as MCP servers so customers can use their own agents to unlock data in the platform.

- Establish AI-SDLC workflows, test harnesses, and review steps that hold quality steady at agentic pace.

What We're Looking For :

- 4+ years of professional software engineering experience.

- Strong fundamentals and ability to write clean, maintainable, production-grade code.

- Expertise in at least one agentic coding tool (e.g., Cursor, Claude Code, or GitHub Copilot).

- Comfortable working up and down the stack with curiosity for new languages and frameworks.

- Energized by working across teams to share and learn best practices, particularly with GenAI and coding agents.

Tech Stack & Preferences :

- Experience shipping in Node/TypeScript with React or Angular, Python, or modern desktop frameworks such as Electron or Tauri.

- Familiarity with enterprise stacks : Java, Microsoft .NET, RDBMS (MSSQL, Oracle).

- Design sensibility : you've built interfaces that non-technical users enjoy using.

- Experience shipping LLM-powered features and MCP servers to production.

- Experience in financial services, trading, or commodity/energy markets is a plus.

Skills

Full Stack, Node.js, TypeScript, Python, React.js, AngularJS, RDBMS, Java, LLM, AI Integration

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