Senior Generative AI Engineer Agentic Infrastructure

Responsibilities

- Design and build agentic infrastructure for memory, context, state, and session management.

- Develop patterns for short-term and long-term agent memory, retrieval, summarization, and context optimization.

- Implement agent-to-agent communication using protocols such as A2A, MCP, and event-driven APIs.

- Build and operate agent workflows using AWS services and AWS AgentCore.

- Integrate agents with tools, enterprise data sources, APIs, and identity systems.

- Establish standards for agent observability, tracing, evaluation, reliability, latency, and cost management.

- Design guardrails for security, privacy, authorization, and responsible agent behavior.

- Collaborate with application engineers to define interfaces between agent runtimes and user-facing products.

- Contribute to reusable frameworks, reference architectures, and engineering best practices for production GenAI systems.

Qualifications

- Bachelor’s degree in Computer Science, Engineering, or a related field, with 5+ years of software engineering experience.

- Experience building production-grade GenAI, agentic, or distributed systems.

- Strong programming skills in Python, TypeScript, Java,



or a similar language.

- Hands-on experience with agent orchestration frameworks such as LangGraph, LangChain, or comparable technologies.

- Practical experience with AWS, preferably including AWS AgentCore and related services.

- Understanding of agent memory, context windows, retrieval, embeddings, vector databases, and state management.

- Familiarity with A2A, MCP, REST, event-driven architectures, and asynchronous communication patterns.

- Experience with cloud-native development, APIs, containers, CI/CD, and observability.

- Solid understanding of reliability, security, scalability, and operational requirements for enterprise systems.

Preferred Qualifications

- Experience deploying multi-agent systems in production.

- Familiarity with agent evaluation, simulation, and automated testing.

- Experience in healthcare, pharmaceuticals, finance, or another regulated industry.

- Knowledge of IAM, encryption, data governance, and enterprise security practices.

- Ability to communicate complex technical concepts clearly across engineering, product, and business teams.

📌 Senior Generative AI Engineer - Agentic Infrastructure (Chennai)
🏢 CHRYSELYS
📍 Chennai