AI Engineer

3 days ago

Gandhinagar, Gujarat, India Etech Global Services Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Join us as an AI Engineer

Work on exciting
LLM-powered applications
like smart chatbots, document understanding systems, and multi-agent workflows. You'll get to use
LangChain, LangGraph, Hugging Face, and open-source LLMs
(Ollama, LLaMA, Mistral, Phi).

What you will be doing:

  • Design, build, and deploy LLM-driven applications (e.g., document summarization, RAG-based QA, chatbots).
  • Work with open-source LLMs using platforms like Ollama and Hugging Face.
  • Implement LangChain and LangGraph workflows for multi-step, multi-agent task resolution.
  • Build and optimize RAG (Retrieval-Augmented Generation) systems using vector databases.
  • Collaborate with cross-functional teams to ship features to production.
  • Stay up-to-date with the latest in open-source LLMs, model optimization (LoRA, quantization), and multi-modal AI.

What We Expect You to Have:

  • 3–5 years of hands-on experience in AI/ML engineering.
  • Proficient in Python, PyTorch, and Hugging Face Transformers.
  • Proven experience with LangChain and LangGraph for LLM workflows.
  • Familiarity with Ollama, Mistral, LLaMA, or similar open-source LLMs.
  • Experience working with vector stores (Qdrant, Pinecone, Weaviate, FAISS).
  • Skilled in backend integration using FastAPI, Docker, and cloud platforms.
  • Solid grasp of NLP, LLM reasoning, prompt engineering, and document parsing.

Nice-to-Have:

  • Experience with LangServe, OpenAI tool/function calling, or agent orchestration.
  • Background in multi-modal AI (e.g., image + text analysis).
  • Familiarity with MLOps tools (MLflow, Weights & Biases, Airflow).
  • Contributions to open-source GenAI projects.
  • Understanding of LLM safety, security, and alignment principles.

What We Offer:

  • Canteen Subsidy
  • Health Insurance
  • Tuition Reimbursement
  • Incentive components campaign wise
  • Work Life Balance Initiatives
  • Rewards & Recognition
  • Internal movement through IJP

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