Agent Developer
Posted:
6 October 2026 (21 hours ago)
Application Deadline:
3 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