Artificial Intelligence Engineer

Role: AI Engineer

Experience Range: 4- 5 years

Location: Hyderabad || Bangalore || Gurugram

Preferred Skill: Python(Fast API), Generative AI (LLMs, RAG, Fine-tuning), Gen AI tools: LangChain / LangGraph / LlamaIndex / CrewAI / AutoGen, Vector Databases (e.g., Pinecone), Cloud(AWS/Azure/GCP)

Work Mode: Onsite (WFO-5 Days)

Role & responsibilities:

• Design, develop, and deploy Generative AI applications using Large Language Models (LLMs) such as GPT, Claude, Llama, and Gemini.
• Build end-to-end Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, hybrid search, and re-ranking techniques.
• Develop Agentic AI solutions using frameworks like LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex.
• Integrate Knowledge Graphs (Neo4j/GraphRAG) with AI applications to improve contextual reasoning and response accuracy.
• Develop and optimize REST APIs and backend services using Python and FastAPI.
• Deploy AI solutions on AWS, Azure, or GCP using Docker and CI/CD pipelines, ensuring scalability and reliability.
• Implement Responsible AI practices, including guardrails for hallucination, prompt injection, bias mitigation, and data security.
• Collaborate with cross-functional teams to gather requirements, design AI solutions, troubleshoot issues, and deliver production-ready applications.

Preferred candidate profile:

• 46 years of overall software development or AI/ML engineering experience with hands-on Generative AI project exposure.
• Strong proficiency in Python and frameworks such as FastAPI, PyTorch, or TensorFlow.
• Experience building Generative AI applications using LLMs (GPT, Claude, Llama, Gemini, Mistral, etc.).
• Hands-on experience with RAG pipelines, embeddings, vector databases (Pinecone, Chroma, FAISS, Weaviate, Milvus, pgvector), and prompt engineering.
• Experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or LlamaIndex.
• Practical knowledge of Neo4j, Graph Databases, GraphRAG, and Cypher queries.
• Experience with cloud platforms (AWS, Azure, or GCP), Docker, Git, and CI/CD pipelines.
• Familiarity with SQL/NoSQL databases, ETL processes, and REST APIs.
• Strong analytical, debugging, and problem-solving skills with excellent communication abilities.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.