Senior Generative AI Engineer - Agentic Infrastructure

Chryselys; Hyderabad, Chennai District; Hybrid; INR 2,800,000 - 4,200,000; Full time

Job summary

Chryselys is seeking a Senior Generative AI Engineer to design and build agentic infrastructure for memory, context, state, and session management within our GenAI platform.

You will implement memory and context optimizations, support agent-to-agent communication (A2A, MCP, REST), and build workflows using AWS services including AgentCore.

Collaboration with application engineers to define interfaces and contribute to reusable frameworks and 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.
• Strong understanding of reliability, security, scalability, and operational requirements for enterprise systems.

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.

Skills

Python

TypeScript

Java

Distributed systems

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

LangGraph

LangChain

AWS AgentCore

REST APIs

Event-driven architectures

Job description

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.
• Strong 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.