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Sr Associate - Full Stack Dev (Gen AI Full Stack Application Engineer)

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Onsite

Sr Associate - Full Stack Dev (Gen AI Full Stack Application Engineer)

Chryselys

Sr Associate - Full Stack Dev (Gen AI Full Stack Application Engineer)

Skills

SQL QueriesNodePythonJavaC#Machine LearningAIAWS

1 month ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

13 October 2026

What they need


Job highlights

  • Experience working in enterprise environments,with healthcare / pharma experience preferred.
  • Experience integrating GenAI,LLMs or agentic capabilities into enterprise applications preferred. . Ability to collaborate effectively with product,architecture,frontend,DevOps,data and AI / ML teams and contribute to technical design and engineering standards

Relevant experience, job description and role expectation

  • 5+ years of production application development experience, with strong ownership of enterprise-grade applications from design through deployment and ongoing operations.
  • Strong understanding of application architecture, domain modeling and business logic, with the ability to translate complex business requirements into maintainable software solutions.
  • Hands-on development experience with Python, Java, C# and/or Node.js, with strong object-oriented and software engineering fundamentals.
  • Experience with relational databases, SQL, data modeling, schemas, transactions and query optimization.
  • Strong experience designing and consuming APIs and RESTful services, including service integration and API lifecycle considerations.
  • Solid understanding of authentication and authorization, including Role-Based Access Control (RBAC) and secure access patterns.
  • Hands-on experience with AWS and cloud-native application architectures.
  • Experience integrating front-end and backend applications, including API contracts, data flows and error handling.
  • Strong engineering practices around unit/integration testing, CI/CD, code quality and observability.
  • Strong understanding of application security, scalability, reliability and performance.
  • Experience working in enterprise environments, with healthcare/pharma experience preferred.
  • Experience integrating GenAI, LLMs or agentic capabilities into enterprise applications preferred.
  • Ability to collaborate effectively with product, architecture, frontend, DevOps, data and AI/ML teams and contribute to technical design and engineering standards.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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