Gen AI Engineer

• Develop, fine-tune, and integrate LLMs (GPT, LLaMA, Claude, etc.) into enterprise applications.
• Implement prompt engineering techniques, embeddings, and RAG (Retrieval Augmented Generation) pipelines.
• Understanding of building Agentic AI applications using Langgraph, etc.
• Build and maintain APIs, microservices, and front-end/back-end integrations for GenAI applications.
• Work with vector databases (Pinecone, FAISS, Weaviate, Milvus) to enable semantic search.
• Deploy solutions on cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI).
• Optimize model performance, latency, and scalability for real-world usage.
• Collaborate with data scientists and solution architects to deliver PoCs and production-ready applications.
• Ensure AI solutions follow responsible AI, data privacy, and security guidelines.

Required Skills

• Strong programming skills in Python (preferred), with experience in Java APIs, microservices, Flask/FastAPI/Django.
• Knowledge of vector embeddings and vector databases.
• Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
• Familiarity with Docker, Kubernetes, and MLOps practices for deploying AI models.
• Experience working with cloud-based AI services (Azure, AWS, or GCP).
• Strong problem-solving and debugging skills.
• Good to have experience with PyTorch, TensorFlow, Hugging Face Transformers.

Required Skills: Java, Gen AI, LLM, cloud AI, Agentic AI, Python, MLOps