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Agent Developer

Wipro


Job Location:

Chennai - India

Monthly Salary: Not provided by the employer
Posted: 7 October 2026 (16 hours ago)
Application Deadline: 4 January 2027
Vacancies: 1 Vacancy

Job Summary

Greetings from Maneva!

Job Description

Job Title - Agent Developer

Experience - 6 10 Years

Location - Chennai

Notice - Immediate Joiner

Requirements:-

  • Builds the AI agents prompts skills and reasoning pipelines that automate scoping decomposition planning testing and specification synthesis.
  • Develop AI agents workflows skills prompts and reasoning pipelines using agent-orchestration frameworks.
  • Build agents for scoping domain decomposition planning test generation and specification synthesis.
  • Integrate Retrieval-Augmented Generation (RAG) and context-retrieval layers to ground agent outputs.
  • Design and implement guardrails (approved technology standards naming conventions and pre-checks sourced from the knowledge base).
  • Create reusable prompt libraries agent skills and evaluation datasets.
  • Continuously evaluate model performance grounding quality hallucination rates and reasoning accuracy.
  • Collaborate with backend and platform teams to operationalize agent capabilities.

Qualifications

  • Bachelors or Masters degree in Computer Science AI or a related discipline.
  • 6 years of total experience and 2 years of Agent development experience.
  • Strong Python programming expertise.
  • Hands-on experience with LLMs agent-orchestration frameworks prompt engineering and vector databases.
  • Experience with RAG patterns context engineering and knowledge retrieval.
  • Experience developing autonomous tool-using planning and multi-agent systems.
  • Familiarity with evaluation frameworks observability tooling and AI guardrails.
  • Understanding of enterprise integration patterns and cloud platforms.

Mandatory Tech Stack

Language: Python.

  • Agent Frameworks: LangGraph / LangChain or equivalent agent-orchestration frameworks.
  • LLM APIs: OpenAI / Anthropic / Bedrock / Azure OpenAI or equivalent foundation-model APIs.
  • Agentic RAG & Retrieval: Vector databases such as Pinecone / FAISS embeddings and semantic search.
  • Prompting: Prompt engineering context engineering and structured outputs.

If you are excited to grab this opportunity please apply directly or share your CV atand


Required Experience:

Unclear Seniority