Generative AI Engineer - Python

We are looking for a highly skilled Python Generative AI Engineer to design and develop AI-powered applications using Large Language Models (LLMs).

The ideal candidate should have strong Python programming expertise, hands-on experience with GenAI frameworks, Retrieval-Augmented Generation (RAG), vector databases, and cloud deployment.

You will collaborate with cross-functional teams to build intelligent automation solutions, AI assistants, and enterprise-grade GenAI applications.

Key Responsibilities :

• Design, develop, and deploy Generative AI applications using Python.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval.
• Integrate Large Language Models (OpenAI GPT, Claude, Llama, Gemini, Mistral, etc.) into production applications.
• Develop AI agents and conversational assistants using LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Design REST APIs and microservices using FastAPI or Flask.
• Work with vector databases such as Pinecone, ChromaDB, FAISS, Weaviate, or Milvus.
• Build prompt engineering workflows and optimize prompts for accuracy and performance.
• Fine-tune open-source language models where required.
• Develop scalable backend services for AI applications.
• Deploy AI solutions on AWS, Azure, or GCP using Docker and Kubernetes.
• Collaborate with Data Scientists, ML Engineers, and Product teams to deliver AI-driven solutions.
• Monitor model performance, latency, and cost optimization.
• Implement security, governance, and responsible AI practices.

Required Skills :

• Strong Python programming skills.
• Experience with FastAPI, Flask, or Django.
• Hands-on experience with Large Language Models (LLMs).
• Experience with OpenAI API, Azure OpenAI, Anthropic Claude, Gemini, or open-source models.
• Strong knowledge of Prompt Engineering.
• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen.
• Hands-on experience building RAG-based applications.
• Knowledge of embeddings and semantic search.
• Experience with vector databases (FAISS, Pinecone, ChromaDB, Weaviate, Milvus).
• Experience with SQL and NoSQL databases.
• REST API development experience.
• Git and CI/CD pipelines.
• Docker and Kubernetes.
• Cloud platforms (AWS, Azure, or GCP).

Preferred Skills :

• Knowledge of machine learning fundamentals.
• Experience with Hugging Face Transformers.
• Model fine-tuning using LoRA or PEFT.
• Experience with MLflow or model lifecycle management.
• Knowledge of Kafka or RabbitMQ.
• Experience with Elasticsearch or OpenSearch.
• Familiarity with monitoring tools such as Prometheus and Grafana.

Qualifications :

• 3 to 7 years of software development experience.
• Strong experience in Python backend development.
• At least 1 to 2 years of hands-on experience building Generative AI applications.
• Excellent problem-solving and communication skills.
• Experience working in Agile/Scrum environments.

Nice to Have :

• Experience with AI Agents and multi-agent systems.
• Knowledge of MCP (Model Context Protocol).
• Experience with AI workflow orchestration.
• Exposure to enterprise AI governance and responsible AI frameworks.