Artificial Intelligence Engineer
Job Description
Job Title: AI Engineer – Java / Generative AI
Location: Gurugram
Job Description
We are looking for an AI Engineer with strong hands-on experience in Java, Generative AI, Agentic AI, and RAG pipeline development to build and integrate AI-powered applications.
Mandatory Skills
- Strong hands-on experience in Java.
- Experience with Generative AI and LLMs.
- Hands-on experience in Agentic AI and AI agent development.
- Experience building and implementing RAG pipelines.
- Knowledge of prompt engineering, embeddings, and semantic search.
- Experience integrating LLMs into applications using APIs.
Good to Have
- LangChain, LangGraph, or Spring AI.
- Vector databases and cloud AI platforms.
Note: Candidates must have practical development experience in Generative AI, Agentic AI, and RAG—not just theoretical knowledge.
More Info
Key Skills
embeddings
Generative AI
Agentic AI
LLMs
AI agent development
RAG pipelines
prompt engineering
About Company
Skills:
RAG (Retrieval-Augmented Generation), Large Language Models (LLMs), Typescript, Javascript, Rest Apis, Python, LangChain, CrewAI, embeddings, automation pipelines, AI-driven coding workflows, Codex, AI coding agents, vector databases, Claude, LangGraph, ChatGPT, Data Handling, Prompt Engineering, AI model optimization
Skills:
Nodejs, Rest Apis, Python, embeddings, Qdrant, Claude, Pinecone, DeepSeek, OpenAI, Gemini, Weaviate, semantic search
Skills:
Azure ML, Gcp, AWS, LangChain, MLOps Deployment, Generative AI Solutions, Hugging Face, AI ML Development, MLflow, SageMaker, Model Governance, OpenAI APIs, Vertex AI, Kubeflow, LLM Experimentation