Job Title Generative AI Engineer (Python | LLM | Agentic AI | RAG)

Location: Ahmedabad (Work from Office)
Experience: 4–8 Years
Employment Type: Full-Time

About the Role
We are looking for a highly skilled Generative AI Engineer with solid expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and modern AI frameworks. The ideal candidate should have hands-on experience building production-ready AI applications rather than only research or proof-of-concept projects.

Must Have Skills Programming
● Python (Expert)
● SQL ● FastAPI ● REST APIs
● Async Programming ● Microservices Generative AI
● OpenAI GPT Models ● Azure OpenAI / AWS Bedrock / Google Vertex AI
● Prompt Engineering
● Prompt Optimization
● Structured Outputs
● Function Calling
● Tool Calling AI Frameworks
● LangChain
● LangGraph
● CrewAI ● LlamaIndex

● Microsoft AutoGen

● OpenAI Agents SDK ● Google ADK ● Semantic Kernel (Good to Have) RAG ● RAG Architecture ● Agentic RAG ● GraphRAG ● Self-RAG ● CRAG Search & Retrieval ● Vector Databases (FAISS, Pinecone, Qdrant, ChromaDB, Weaviate, pgvector) ● Embeddings ● Semantic Search ● Hybrid Search AI Evaluation & Monitoring ● LangSmith ● Langfuse ● Ragas ● Promptfoo ● MLflow Databases ● PostgreSQL ● MongoDB ● Redis DevOps ● Docker ● Kubernetes ● Git ● CI/CD Responsibilities ● Design and develop production-grade Generative AI applications.



● Build scalable RAG pipelines using vector databases. ● Develop AI Agents and Agentic workflows. ● Integrate LLMs using OpenAI, Azure OpenAI, AWS Bedrock, or Vertex AI. ● Build REST APIs using FastAPI. ● Optimize prompts and improve LLM accuracy. ● Evaluate AI systems using industry-standard evaluation frameworks. ● Collaborate with product, backend, and frontend teams. ● Deploy scalable AI services using Docker and Kubernetes. ● Troubleshoot hallucinations, latency, and retrieval quality. Mandatory Experience Candidates must have practical experience in: ● Production LLM applications ● RAG implementations ● LangChain or LangGraph ● FastAPI ● Vector Databases ● Prompt Engineering ● Python backend development Good to Have ● MCP (Model Context Protocol) ● Multi-Agent Systems ● AI Workflow Automation ● Fine-tuning (LoRA/QLoRA) ● Knowledge Graphs ● GraphRAG ● AI Observability Interview Process 1. HR Screening 2. Technical Interview 3. Live Practical Coding & AI Problem Solving 4. Final Discussion Note: Practical assessment is mandatory. Preferred Qualifications ● Bachelor's or Master's degree in Computer Science, AI, IT, or related field. ● 4–8 years of software development experience. ● Strong communication and problem-solving skills. ●

Pay: ₹40,000.00 - ₹100,000.00 per month

Benefits:

- Flexible schedule
- Paid sick time
- Paid time off
- Provident Fund

Work Location: In person

📌 AI/ML Engineer (India)
🏢 Zobi Web Solutions
📍 India