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.