AI Junior Engineer

2 days ago

Pune, Maharashtra, India Crackr Full time ₹ 6,00,000 - ₹ 12,00,000 per year

AI Junior Engineer / Intern (Onsite Only — Pune, India)

Type:
Paid Internship (Full-time)

Duration:
3–6 months

About

At , we're building next-generation, self-hosted AI solutions designed for privacy, scalability, and real-world impact. From education to enterprise, our mission is to combine innovation and agility to make AI practical, secure, and deployable at scale.

As an
AI Intern / Junior Engineer
, you'll work hands-on with our engineering and product teams to experiment with, fine-tune, and deploy small and large language models for real-world use cases.

What You'll Do

  • Explore and benchmark open-source LLMs (Mistral, Phi-2, TinyLlama, Gemma, etc.)
  • Fine-tune models for applied tasks such as summarization, Q&A, and classification
  • Build proof-of-concept apps using LangChain, Transformers, and vector databases (FAISS, Weaviate)
  • Design and optimize RAG pipelines, embedding-based search, and inference APIs
  • Work on model efficiency: quantization, cost optimization, latency reduction
  • Contribute to datasets, prompt engineering, and evaluation frameworks
  • Document results, write reports, and share learnings with the team

What You'll Need

  • Solid understanding of NLP, transformers, and foundation models
  • Familiarity with open-source LLMs and hosting (Hugging Face, Ollama, vLLM, LM Studio)
  • Strong Python skills (FastAPI, LangChain, PyTorch/TensorFlow)
  • Comfort with Linux, Docker, Git, and CLI workflows
  • Interest in vector databases and Retrieval-Augmented Generation (RAG) systems
  • Curiosity, independence, and a drive to experiment

Bonus Points

  • Experience running LLMs locally (Ollama, LM Studio, vLLM)
  • Contributions to open-source AI/NLP projects
  • Familiarity with embedding models (BGE, Instructor, E5, OpenAI/Bedrock embeddings)
  • Knowledge of model optimization (GGUF, GPTQ, quantization techniques)

What You'll Get

  • Hands-on experience with cutting-edge open-source AI in production-like setups
  • Mentorship from experienced AI practitioners and engineers
  • Real ownership of experiments and proof-of-concept builds
  • Opportunity to convert to a full-time role based on performance
  • A collaborative, fast-moving, and learning-focused culture

How to Apply:

Send your resume and GitHub/Colab links (if any) to

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