Senior AI Agent Developer (GenAI / Agentic AI)

Acronotics Inc; Pune District; Hybrid; INR 3,000,000 - 5,200,000; Full time

Job summary

Acronotics Inc in Pune (Hybrid, 3 days work from office) is seeking a hands-on Senior AI Agent Developer to design, build, test and deploy production-grade AI agents and workflows that solve real business problems.

You will work with AWS Bedrock, LangGraph and other frameworks, delivering reliable agent solutions from prototype to production, with a strong focus on testability, observability and security.

Qualifications

• 7-10 years in software engineering, automation or AI app development.
• Hands-on GenAI/LLM development with production experience.
• Experience with agent frameworks (LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel).
• Practical RAG experience with vector stores (Pinecone, FAISS, OpenSearch, pgvector, Azure AI Search).

Responsibilities

• Build and deploy AI agents and agentic workflows on enterprise platforms.
• Develop multi-agent solutions using orchestration frameworks (LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel).
• Design and implement RAG solutions with embeddings, vector search, retrieval optimization and source attribution.
• Build MCP-enabled integrations and robust tool calling to connect agents with enterprise apps, APIs, databases and cloud services.
• Implement guardrails and test solutions against hallucinations, prompt injection, data leakage and misuse.
• Set up monitoring and observability for agent quality, cost, performance and adoption.
• Build reusable components, prompts and connectors with strong code quality, testing and documentation.
• Work with business, product, data, security and platform teams to deliver measurable outcomes.

Skills

GenAI/LLM dev

LangGraph/LangChain

RAG with vectors

AWS Bedrock

API integrations

Python

Tools

Pinecone

FAISS

OpenSearch

pgvector

Azure AI Search

CloudWatch

Job description

We are looking for a hands-on Senior AI Agent Developer to design, build, test and deploy production-grade AI agents and agentic workflows that solve real business problems. This is a senior developer role focused on building solutions, not a solution architect position.

Experience: 7-10 Years
Location: Pune (Hybrid, 3 days work from office)
Employment Type: Full Time, Permanent
Notice Period: Immediate to 30 days preferred

Key Responsibilities

• Build and deploy AI agents, copilots and agentic workflows on enterprise platforms such as AWS AgentCore / Bedrock and Microsoft Copilot Studio
• Develop multi-agent solutions using orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel or similar), with state management, memory, routing and human-in-the-loop controls
• Design and implement RAG solutions, covering knowledge ingestion, embeddings, vector search, retrieval optimization and source attribution
• Build MCP-enabled integrations and robust tool/function calling to connect agents with enterprise applications, APIs, databases and cloud services
• Implement guardrails and test solutions against hallucinations, prompt injection, data leakage and misuse
• Set up monitoring and observability for agent quality, cost, performance and adoption
• Build reusable components, prompts and connectors with strong code quality, testing and documentation
• Work with business, product, data, security and platform teams to deliver measurable outcomes

Must-Have Skills

• 7-10 years in software engineering, automation, data or AI application development
• Strong hands-on GenAI / LLM application development experience, with at least one solution taken from prototype to production
• Hands-on with agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen or Semantic Kernel
• Practical RAG experience with vector databases such as Pinecone, FAISS, OpenSearch, pgvector or Azure AI Search
• Experience with AWS Bedrock / AgentCore and/or Microsoft Copilot Studio
• Experience with MCP, tool/function calling and API integrations
• Strong programming skills (Python preferred)

Good to Have

• Guardrails, responsible AI practices and evaluation frameworks
• Observability tools such as LangSmith, Langfuse or CloudWatch
• Prior experience in regulated or enterprise environments (BFSI preferred)
• Background in RPA / intelligent automation

Candidates based out in Pune are priority.