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Sr Associate Software Engineer - Full Stack

amgen.com Logo

Amgen

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Location:
India , Hyderabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Amgen is seeking a Sr Software Engineer - Full Stack to design, develop, and support modern AI-enabled web applications that power Insights and Field Intelligence capabilities. This role focuses on building scalable, responsive, and intelligent full-stack applications using React, Next.js, Node.js, and cloud-native technologies while integrating AI/ML capabilities such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and intelligent workflow automation. The ideal candidate combines strong front-end and back-end engineering expertise with hands-on experience integrating AI services and APIs into enterprise applications. The successful candidate should have a passion for modern application development, AI innovation, and building intelligent systems that improve business productivity and decision-making.

Job Responsibility:

  • Design, develop, and maintain scalable full-stack web applications using React.js, Next.js, Node.js, Typescript
  • Build responsive, mobile-first, and user-centric interfaces that support enterprise Insights and Field Intelligence use cases
  • Develop reusable UI components, application frameworks, and shared libraries following modern front-end engineering best practices
  • Design and develop secure and scalable backend services, APIs, and microservices using Node.js and REST/GraphQL architectures
  • Implement server-side rendering (SSR), static site generation (SSG), and modern web optimization techniques using Next.js
  • Ensure application scalability, performance optimization, accessibility, and cross-browser compatibility
  • Design and develop AI-enabled applications leveraging Large Language Models (LLMs) such as OpenAI models and enterprise AI services
  • Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources
  • Design and implement AI agent workflows and orchestration frameworks to automate business processes and insight generation
  • Integrate AI capabilities into enterprise web applications, APIs, and workflows for real-time intelligence and automation
  • Implement context management approaches such as Model Context Protocol (MCP) or similar AI orchestration frameworks
  • Evaluate and adopt emerging AI technologies, frameworks, and engineering best practices
  • Design, build, and maintain scalable APIs and backend integration services supporting enterprise and AI-driven applications
  • Develop integrations with enterprise platforms including CRM, analytics, and business intelligence systems
  • Build secure and reusable API services enabling AI-driven workflows and data access patterns
  • Implement monitoring, logging, observability, and error handling across APIs and application services
  • Leverage AWS cloud services to build scalable, resilient, and secure application platforms
  • Implement CI/CD pipelines and DevOps best practices for application deployment and lifecycle management
  • Support containerized application deployment using Docker and cloud-native deployment approaches
  • Optimize application performance, scalability, and operational reliability in cloud environments
  • Participate in agile ceremonies including sprint planning, backlog refinement, estimation, and retrospectives
  • Create and maintain technical documentation including architecture diagrams, API specifications, deployment procedures, and operational guides

Requirements:

  • Master’s / Bachelor’s degree with 5 - 8 years of experience in Computer Science, IT or related field
  • Strong hands-on experience developing full-stack applications using React.js, Next.js, Node.js, Typescript, Javascript
  • Strong experience building scalable RESTful APIs and backend services
  • Hands-on experience building Retrieval-Augmented Generation (RAG) pipelines and integrating vector databases
  • Understanding of AI agent architectures, orchestration frameworks, and context-aware AI systems
  • Experience integrating AI capabilities into web applications, APIs, and enterprise workflows
  • Experience with AWS cloud data platforms
  • Certified AWS Professional or Associate certification (Required)
  • Excellent critical-thinking and problem-solving skills
  • Strong communication and collaboration skills
  • Demonstrated awareness of how to function in a team setting
  • Demonstrated presentation skills

Nice to have:

  • Experience with machine learning workflows (Databricks ML, or similar)
  • Familiarity with Model Context Protocol (MCP) or similar AI context management approaches
  • Knowledge of real-time/streaming architectures
  • Understanding of field analytics, CRM data models, or commercial insights use cases
  • OpenAI, Generative AI, or Cloud AI-related certification (Preferred)

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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