Applied AI Engineer
InCommon · Not specified · onsite · Posted 37d ago
About a minute. You'll make an account on the way through.
About this role
Location: Remote, India
Experience: 4+ years
Reports to: Director of Engineering (US)
About the Team
InCommon is hiring on behalf of a US-based B2B SaaS company building financial infrastructure for the automotive retail industry.
We're looking for an Applied AI Engineer who is an engineer first and has gone deep into LLMs someone who enjoys taking AI from an idea to a real production feature used by customers.
This is one of the first AI hires in the India team, so you'll have significant ownership and the opportunity to shape how AI is built into the product.
About the Company
The company is building modern financial infrastructure for the automotive retail industry.
Their platform helps dealerships automate complex financial operations such as reconciliation, financial data processing, exception handling and month-end close.
Think of it as using software and AI to eliminate the manual work involved in making sure a dealership's financial data is accurate, reconciled and audit-ready.
What you'll do
- Build and ship LLM-powered features and AI agents for real-world business workflows.
- Build agentic workflows using tool calling, RAG, structured outputs and APIs.
- Own AI evaluations - define datasets, measure quality and improve reliability.
- Build production systems with proper guardrails, validation, monitoring and fallbacks.
- Work across the stack, including Python, TypeScript and React.
- Work closely with US-based product and engineering teams to understand user problems and build practical solutions.
What we're looking for
- 4+ years of experience building and shipping production software.
- Strong Python skills.
- Hands-on experience with LLMs/GenAI in production.
- Experience with RAG, tool/function calling, structured outputs and AI agents.
- Experience with frameworks like LangGraph, LlamaIndex, Pydantic AI or similar.
- Experience building LLM evaluation/eval frameworks.
- Good understanding of SQL and data-heavy systems.
- Comfortable with TypeScript/React.
- Strong product mindset and ability to work independently.
- Experience in fintech, accounting, reconciliation, ERP, document AI or automotive tech.
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