Design and build scalable infrastructure for production-grade generative AI agents, including memory, context, state, session management, orchestration, agent-to-agent communication, tool integration, observability, reliability, security, and cost optimization. Collaborate with application, platform, and product teams to establish reusable frameworks and architectures for secure enterprise agentic systems.
About Chryselys
Chryselys is a Great Place to Work Certified Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.
Role SummaryWe 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.
- 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.
- 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.
Similar Jobs
Big Data • Fintech • Information Technology • Insurance • Financial Services
Develop and maintain Java microservices and APIs using Spring Boot, integrate AWS services, manage cloud deployments, maintain CI/CD pipelines, troubleshoot performance issues, and collaborate with DevOps, QA, and business teams. The role also involves documenting architecture and deployment processes while ensuring application scalability and security.
Top Skills:
APIsAWSCi/CdCloud InfrastructureJavaMicroservicesSpring Boot
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, develop, test, and deploy cloud-native applications, APIs, microservices, integrations, and reusable platform components. Collaborate across Product, Architecture, Security, and Engineering teams to deliver scalable, secure solutions. Implement automated testing, CI/CD, monitoring, observability, and modernization initiatives using Azure and enterprise technologies. Contribute to architecture, documentation, code reviews, engineering standards, and AI-assisted development improvements.
Top Skills:
.NetAgileAi-Assisted Development ToolsAPIsApplication Performance OptimizationAutomated TestingAzureCi/CdCloud-Native Application DevelopmentJavaMicroservicesMonitoringObservabilitySource Control
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develop and support enterprise multi-tier web and non-web applications using Microsoft technologies. Responsibilities include C# and .NET development, SQL database work, API and web-service integration, application architecture, testing, debugging, performance optimization, and production support. The role collaborates with technical leads, project managers, and business analysts in an Agile/Scrum environment, applying domain-driven design, CI/CD, and software development lifecycle best practices.
Top Skills:
.Net Core.Net FrameworkAgile/ScrumAjaxAsp.NetAzureC#Ci/CdCSS3DevOpsEntity FrameworkGitHTML5Hyland Onbase StudioJavaScriptJqueryLinqMicrosoft Visual StudioMvcMvvmNhibernateOnbase WorkflowReporting ServicesRestSignalrSoapSQL ServerSql Server Management StudioSubversionUnity FormsWcfWeb Api
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
