Remote

What We Offer:

- Night Shift allowance as per process
- Health Insurance
- Tuition Reimbursement
- Work-Life Balance Initiatives
- Rewards & Recognition

What You’ll 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 Lang Chain and Lang Graph 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 Lang Chain and Lang Graph 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 LLM safety, security, and alignment principles.

Job Title

:

AI Engineer

Department

:

Software Development

Reports to

:

Machine Learning Developer

Pay Grade

:

22-25 LPA

Location

:

Gandhinagar

Schedule & Shift

:

2:30 PM to 11:30 PM IST

📌 AI Engineer (India)
🏢 Etech Global Services
📍 India