Role: AI Engineer

Experience Range: 4- 5 years

Location: Hyderabad || Bangalore || Gurugram

Preferred Skill: Python(Quick 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.
Solid 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.
Robust 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.

📌 Artificial Intelligence Engineer Telangana
🏢 InnovationM
📍 Telangana