Posted 1w ago

ML/AI Engineer Internship

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

What you'll do

  • Design and ship multi-agent LLM systems for business workflows (sourcing, negotiation, POs, invoices).
  • Build agent harnesses for tool interfaces, memory/state, orchestration, evaluations, tracing, and production guardrails.
  • Develop retrieval-augmented generation systems using vector and graph-based knowledge systems.
  • Ship features from design through deployment, iteration, and monitoring.
  • Work on product roadmap, go-to-market automation, and AI-driven commerce experiments.
  • Participate in technology events, summits, and conferences.
  • Use Docker, CI/CD, and monitoring practices to deliver reliable production systems.

Requirements

What they're looking for

  • Strong interest in ML, AI, software engineering, and product building.
  • Familiarity with Python, Node.js, AWS, Docker, REST APIs, and SQL/Postgres.
  • Exposure to LLM agents and frameworks (LangGraph, CrewAI, LlamaIndex, or similar).
  • Understanding of RAG, vector databases, graph databases, MLOps, CI/CD, and monitoring.
  • Comfort using AI coding tools (Cursor, GitHub Copilot, Claude Code, or Codex).
  • Curiosity, ownership, agility, and ability to learn and ship quickly.
  • Immediate joiner.

Nice to have

What would help

  • Interest or experience in agentic harness engineering, agent SDKs, evaluation frameworks, tracing, or voice agents.
Full description from the employer

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.

Procureyard Technology Private Limited

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