Sr Associate Software Engineer

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)

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Sr Associate Software Engineer - Full Stack

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