Intern - Machine Learning Engineer

Role Overview

We are looking for a hands-on Machine Learning Engineering Intern with a strong understanding of the modern AI stack. The ideal candidate understands how LLMs work, can navigate a real codebase, and is comfortable using AI tools to accelerate their work without becoming dependent on them.

You will be embedded directly in our engineering team and contribute to AI pipelines, APIs, and agent systems under the mentorship of senior ML engineers. Expect meaningful responsibility, thoughtful code reviews, and production exposure from day one.

Must-Have Requirements

*The following are non-negotiable. Candidates who cannot demonstrate these will not be considered regardless of other strengths.*

LLM Fundamentals & Prompting

Clear understanding of how LLMs work, including tokenization, context windows, temperature, structured output formatting, LLM guardrails, and hallucination prevention.
- Proficiency in prompting techniques such as few-shot prompting, system prompts, structured outputs, role prompting, and reasoning-oriented prompts.




- Familiarity with recent model releases, capability shifts, and architectural developments.
- Ability to run inference on local LLMs using tools like Ollama, VLLM, or Hugging Face Transformers

AI Systems & Engineering
- Moderate to solid understanding of RAG architecture, including chunking, embeddings, retrieval, reranking, and generation.
- Working knowledge of AI agents, tool use, and agent orchestration frameworks such as LangChain, LlamaIndex, AutoGen, or custom frameworks.
- Understanding of MCP (Model Context Protocol) and AI skills/tool design
- Transformer architecture basics — attention mechanism, encoder/decoder, positional encoding, embeddings

Python & Backend Engineering
- Strong Python skills, including clean, idiomatic code, proper error handling, algorithm design, and type hints.
- Ability to work with structured outputs: JSON schema, Pydantic models, data validation pa

📌 Intern - Machine Learning Engineer (Chennai)
🏢 Techsol engineers
📍 Chennai