Cogentix Systems
Generative AI Engineer
₹25–30 LPA
On-siteFull-timeOn-Site7–8 yrs2 openingsInformation TechnologyImmediateDay Shifts
Graduation (10 + 2 + 4)
Generative AI, Large Language Models, Python, LangChain, LlamaIndex, Haystack, RAG, Vector Databases, FAISS, Milvus, Pinecone, Weaviate, Prompt Engineering, Embeddings, LLM Evaluation, FastAPI, Flask, NLP
Generative AI / LLM Engineer
🔹 Key Responsibilities
- Build LLM applications (GPT, LLaMA, Mistral, Claude)
- Develop RAG pipelines using vector databases (FAISS, Milvus, Pinecone)
- Prompt engineering, LLM evaluation, and agent workflows
- Integrate LLMs with PDFs, APIs, OCR, and databases
- Optimize pipelines for cost, latency, and accuracy
- Apply classical ML where required
- Optional: Deploy using Docker / Kubernetes
✅ Must Have
- Strong Generative AI / LLM experience
- Python + LangChain / LlamaIndex / Haystack
- RAG + vector databases
- Prompt engineering & embeddings
- FastAPI / Flask
- NLP fundamentals
👍 Good to Have
- Classical ML (scikit-learn, XGBoost, LightGBM)
- SQL + data analysis
- Cloud: Amazon Web Services / Google Cloud / Microsoft Azure
⭐ Bonus
- MLOps, LoRA/QLoRA/PEFT
- Open-source LLMs, vLLM / TensorRT / ONNX
- Graph RAG / Knowledge Graphs
- Generative AI Engineer jobs
- LLM Engineer roles
- RAG pipeline developer
- LangChain developer
- LlamaIndex engineer
- Prompt Engineering jobs
- Vector database specialist
- Python LLM developer
- Generative AI developer
- NLP Generative AI engineer
- AI Software Engineer LLM
- LLM application development
- MLOps Generative AI
- Open source LLM engineer
- FastAPI Flask LLM
- Embeddings engineer
- Cloud AI Engineer
- Artificial Intelligence Engineer
- Graph RAG developer
- Deep Learning Generative AI