Gen AI Engineer

We are looking for a hands-on Gen AI Engineer with a strong Python and Data Engineering background, who has real-world experience building, deploying, and scaling Generative AI solutions. This role requires practical exposurenot theoretical knowledge or certification-only experience. Experience Range - 3-8 years

Key Responsibilities

• Design, build, and deploy production-grade Gen AI solutions
• Develop and optimize RAG (Retrieval-Augmented Generation) pipelines
• Build and manage Agentic AI workflows for autonomous task execution
• Integrate LLMs (LLaMA, OpenAI, Claude, etc.) into business applications
• Work with vector databases for embedding storage and retrieval
• Handle real-time inference pipelines and low-latency AI services
• Collaborate with data engineers, backend teams, and product stakeholders
• Ensure scalability, monitoring, and performance optimization of Gen AI systems

Must-Have Skills

• Strong Python (production-level coding experience)
• Data Engineering background (ETL/ELT, pipelines, APIs, data processing)
• Hands-on Gen AI experience in real projects (not POCs alone)
• RAG architectures end-to-end implementation
• Agentic AI frameworks (LangGraph, AutoGen, CrewAI or similar)
• LLMs: LLaMA (preferred), OpenAI, Hugging Face models
• Vector Databases: FAISS, Pinecone, Weaviate, Milvus, Chroma
• Prompt engineering with versioning and evaluation
• API development (FastAPI / Flask)

Good to Have

• MLOps exposure (Docker, CI/CD, model deployment)
• Experience with real-time streaming or async systems
• Cloud exposure: AWS / Azure / GCP
• Experience optimizing latency, token cost, and throughput

What We Do NOT Want

• Purely theoretical Gen AI knowledge
• Certification-only profiles without real project implementation
• Fresh Gen AI learners without backend or data engineering foundation