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Agent Developer

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Hybrid

Agent Developer

Experis

Agent Developer

Skills

PythonAIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Hybrid

Published on:

27 August 2026

What they need


Position: Agent Developer
Location: Chennai Hybrid Mode

Experience: 6+ Years
Notice Period: Immediate

Job Description

Builds AI agents, prompts, skills, and reasoning pipelines that automate scoping, decomposition, planning, testing, and specification synthesis.

Responsibilities

  • 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 based on 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

  • Bachelor's or Master's 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

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