Job highlights

- Experience designing multi-agent workflows and agent interoperability using A2A and MCP. . Strong focus on evaluation,tracing,observability,latency and performance optimization for AI / agentic systems.

- Familiarity with model routing,fine-tuning and model optimization preferred

- Skills,experience and

Skills, experience and

- 3+ years of software engineering, ML or GenAI application development, with hands-on experience building and deploying LLM-powered agents and agentic workflows in production.

- Strong understanding of agent architecture, workflow orchestration, prompting, tool calling, structured outputs, planning/reasoning, RAG, memory and context management.

- Strong programming skills in Python and/or TypeScript, with experience building production-quality AI applications and services.

- Hands-on experience with LangGraph, LangChain,



AWS and AWS AgentCore.

- Experience designing multi-agent workflows and agent interoperability using A2A and MCP.

- Robust focus on evaluation, tracing, observability, latency and performance optimization for AI/agentic systems.

- Experience implementing guardrails, security, human-in-the-loop (HITL) controls and reliable failure/recovery patterns.

- Familiarity with model routing, fine-tuning and model optimization preferred.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Associate Developer (Generative AI) - Gen AI - Agent Engineer (Hyderabad)
🏢 CHRYSELYS
📍 Hyderabad