Artificial Intelligence Engineer
Skills
About the role
This is an on-site AI Engineer role in Gurugram for someone with at least four years of experience building Python APIs and conversational AI systems. You'll develop LLM applications, retrieval or agent workflows, and cloud-based AI services while working independently in a fast-moving team.
What you’ll do
- Develop APIs and AI services in Python.
- Build conversational AI systems, chatbots, and LLM applications.
- Create retrieval-augmented or agentic AI solutions.
- Work with AWS services and related AI tooling.
- Use LangChain, LangGraph, or MCP servers in AI application development.
- Support machine learning work with SageMaker and SageMaker pipelines.
What they’re looking for
- At least four years of experience.
- Strong Python and API development experience.
- AWS experience.
- Experience building conversational AI systems, chatbots, or LLM applications.
- Experience with RAG or agentic AI.
- Experience with AWS Bedrock, Azure OpenAI, AgentCore, or similar tools.
- Ability to work independently in a high-speed environment.
- Immediate availability to 15 days' notice period.
Nice to have
- PySpark experience.
- Apache Spark or AWS EMR experience.
- Experience with SageMaker, SageMaker pipelines, or SageMaker notebooks.
What’s on offer
- The role is based in Gurugram.
- The required notice period is immediate to 15 days.
- Full-time permanent employment.
Questions about this role
Where is this AI Engineer role based?
The role is based in Gurugram.
How much experience is required?
At least four years of experience is required.
What AI technologies are mentioned?
The posting mentions AWS Bedrock, Azure OpenAI, RAG, agentic AI, LangChain, LangGraph, MCP servers, and SageMaker.
What notice period is accepted?
The stated range is immediate to 15 days.
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