ApplySarthi

ML/AI Engineer intern @ ProcureYard

Procureyard Technologies

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Questions you are likely to be asked

  1. Why do you want to join Procureyard Technologies?
  2. What is your experience with CI/CD? Tell me one thing you learned the hard way.
  3. How would you explain your model's result to someone who is not technical?
  4. What would you check first if a model's accuracy dropped after going live?
  5. When would you not use machine learning for a problem?

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**About Us** ProcureYard is a profitable, pre-series A funded B2B commerce startup building an autonomous procurement platform. E.g. One of the things our AI agents do is source and negotiate with suppliers over WhatsApp and voice, verify counterparties, and answer questions over a company’s own data. Small team, real scale — we’re looking for a passionate engineer to join us. Work Location: Bangalore, Whitefield Job Type: Internship, Work from Office Stipend: 25-30k (depending on experience and interview) + incentives Joining: Immediate joiners preferred. **Why Join Us?** Work directly with our fabulous AI engineers and founder/CEO Anshu Kandhari (Ex - Meta, CRED, Uber, Paytm) from the Bangalore Office. Ship 0→1 and 1→10 products, own what you build, and help shape AI-driven commerce. **What You’ll Be Doing** 1. Design and ship multi-agent LLM systems that plan, call tools, and run real workflows — sourcing, negotiation, POs, invoices. 2. Do harness engineering around those agents: tool interfaces, memory/state, orchestration, evals, tracing, and guardrails (approvals, spend ceilings, least-privilege access, prompt-injection defenses). 3. Build RAG plus vector and graph knowledge systems so agents stay grounded. 4. Ship what you build to production — Docker, CI/CD, and monitoring 5. Product Roadmap/GTM/Automation 6. Going to Tech Events/Summits/Conferences **Core Tech Skills** 1. Python, Node.js, AWS, Docker · LLM agents (LangGraph, CrewAI, or similar) 2. RAG, vector & graph DBs 3. REST + SQL/Postgres 4. CI/CD & monitoring 5. AI coding tools (Cursor, Copilot, Claude Code, Codex) 6. Nice to have: MCP, eval harnesses (DeepEval, Ragas, Promptfoo), OpenTelemetry, voice agents, Harness Engineering By joining us, you’ll not only shape cutting-edge AI-driven solutions but also grow alongside a team that values innovation, collaboration, and agility. Ready to take on the challenge?

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Listed on wellfound · posted 2026-10-02. ApplySarthi collects openings and links to application pages; the role is advertised by Procureyard Technologies, not by us.