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.
Solid 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 (India)
🏢 CHRYSELYS
📍 India