Generative AI Engineer

About the role

We are looking for a passionate Generative AI Engineer to design, build, and deploy scalable AI-powered applications using cutting-edge LLMs, Agentic AI, and cloud-native technologies.

Key Responsibilitie

• Design, develop, and deploy Generative AI & LLM-based application
• Build RAG (Retrieval-Augmented Generation) pipelines for enterprise use case
• Develop AI agents / multi-agent systems for automation and workflow
• Fine-tune, evaluate, and optimize LLMs for performance, latency, and cost
• Integrate AI models into APIs, microservices, and production system
• Work with cross-functional teams to translate business problems into AI solution
• Ensure Responsible AI practices (bias, safety, prompt security)
• Monitor, scale, and maintain AI systems using LLMOps/MLOps practice

Required Skills

• Languages: Python (must-have), SQL
• AI/ML: LLMs, NLP, Deep Learning (Transformers, Fine-tuning)
• Frameworks: LangChain, LangGraph, LlamaIndex, Hugging Face
• GenAI Concepts: Prompt Engineering, RAG, Embeddings, Vector DBs (Pinecone, FAISS, Weaviate)
• Agentic AI: AutoGen, Semantic Kernel, multi-agent orchestration
• Cloud Platforms: AWS (Bedrock), Azure OpenAI, or GCP Vertex
• AIAPIs & Backend: FastAPI, REST APIs, microservices
• MLOps/LLMOps: Docker, Kubernetes, CI/CD, model monitoring
• Databases: SQL / NoSQL (MongoDB, BigQuery, etc