Posted 1w ago
Pay
INR 25,000–30,000/month
Location
Bangalore, India
On site
Type
Internship
Apply by
12 Oct
3 days left
Skills this role screens for
Opens on Procureyard Technology Private Limited's site. Sign in first and we keep it in your pipeline.
Responsibilities
Requirements
Nice to have
Procureyard Technology Private Limited is hiring an ML/AI Engineer Intern! Responsibilities • Design and ship multi-agent LLM systems that plan, call tools, and execute real business workflows involving sourcing, supplier negotiation, purchase orders, and invoices. • Build agent harnesses covering tool interfaces, memory and state, orchestration, evaluations, tracing, and production guardrails such as approvals, spending ceilings, least-privilege access, and prompt-injection defenses. • Develop retrieval-augmented generation systems with vector and graph-based knowledge systems to keep agents grounded and useful. • Ship features from 0-to-1 and 1-to-10, taking ownership from design through deployment, iteration, and monitoring. • Work on product roadmap, go-to-market automation, and experiments that improve AI-driven commerce workflows. • Participate in relevant technology events, summits, and conferences while learning directly from experienced AI engineers and the founder/CEO. • Use Docker, CI/CD, and monitoring practices to deliver reliable production systems. Requirements • Strong interest in machine learning, artificial intelligence, software engineering, and building practical products. • Hands-on familiarity with Python, Node.js, AWS, Docker, REST APIs, and SQL/Postgres. • Exposure to LLM agents and frameworks such as LangGraph, CrewAI, LlamaIndex, or similar tools. • Understanding of RAG, vector databases, graph databases, MLOps, CI/CD, and monitoring. • Interest or experience in agentic harness engineering, agent SDKs, evaluation frameworks, tracing, voice agents, or related AI infrastructure. • Comfort using AI coding tools such as Cursor, GitHub Copilot, Claude Code, or Codex. • Curiosity, ownership, agility, and the ability to learn and ship quickly in a lean startup environment. • Immediate joiners are preferred.
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