Posted 09 July, 2026
GenAI Engineer
Epergne Solutions
Pune, MH, IN
Full Time
Reference: 1f1c38a463b4d8b1
Job Description
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Job Description : GenAI Engineer
\nLocation : Mysore, Pune, Bangalore
\nQualification : BE/B.Tech/ME/M.Tech
\nExperience : 6+ years (mandatory)
\nWe are seeking an experienced GenAI Engineer / LLM Specialist to design, build, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs). The ideal candidate will have hands-on expertise in LLMs, vector databases, Python, Azure, and microservices, with a strong background in building scalable AI-driven applications.
Key Responsibilities \n- \n
- Develop, fine-tune, and integrate LLMs (GPT, LLaMA, Falcon, Claude, etc.) into enterprise applications. \n
- Implement prompt engineering , embeddings, and RAG (Retrieval Augmented Generation) pipelines. \n
- Build and maintain APIs, microservices, and front-end/back-end integrations for GenAI applications. \n
- Work with vector databases (Pinecone, FAISS, Weaviate, Milvus) to enable semantic search. \n
- Deploy AI solutions on cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI). \n
- Optimize model performance, latency, and scalability for production use cases. \n
- Collaborate with data scientists, architects, and business teams to deliver PoCs and production-ready applications . \n
- Ensure adherence to Responsible AI, data privacy, and security guidelines . \n
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- Strong programming expertise in Python (preferred) with experience in APIs & microservices (Flask/FastAPI/Django) . \n
- Hands-on experience with PyTorch, TensorFlow, Hugging Face Transformers . \n
- Knowledge of vector embeddings & vector databases . \n
- Experience with LangChain, LlamaIndex , or similar orchestration frameworks. \n
- Familiarity with Docker, Kubernetes, and MLOps practices for deploying AI models. \n
- Proven experience with Azure AI services (Azure OpenAI, Cognitive Search, etc.); AWS/GCP experience is a plus. \n
- Strong problem-solving, debugging, and optimization skills . \n