Senior Generative AI Engineer – Agentic Infrastructure

Three Across; Hyderabad; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Three Across in Hyderabad, India seeks a Generative AI Engineer to design and build the infrastructure behind intelligent agentic applications, focusing on memory, context management, and secure orchestration.

You will partner with application, platform, and product teams to enable agents to collaborate, retain relevant information, and use tools effectively in enterprise environments using AWS AgentCore and related services.

Qualifications

• Bachelor's degree in computer science, engineering or related field; 5+ years of software engineering experience.
• Experience building production-grade GenAI, agentic, or distributed systems.
• Strong programming skills in Python, TypeScript, Java, or similar languages.
• Hands-on experience with agent orchestration frameworks and AWS AgentCore.
• Understanding of memory, context windows, embeddings, and state management.
• Familiarity with REST, event-driven architectures, and asynchronous patterns.
• Experience with cloud-native development, containers, CI/CD, and observability.

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

Agent orchestration

AWS

Distributed systems

Observability

Security

CI/CD

REST

Event-driven

LangGraph / LangChain

Education

Bachelor's degree in CS/Engineering

Tools

AWS AgentCore

LangGraph

LangChain

Vector databases

CI/CD tools

APIs

Job description

We are seeking a Generative AI Engineer to design and build the infrastructure that enables reliable, scalable, and intelligent agentic applications. This role focuses on the systems behind AI agents including memory, context management, agent-to-agent communication, orchestration, and runtime operations.

You will partner with application, platform, and product teams to develop the foundations that allow agents to collaborate, retain relevant information, use tools effectively, and operate securely in enterprise environments.

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.