Full Stack Developer Submission Data and Content Generation & Reuse (AIDCG) - Pharma R&D
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About this opportunity
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
The Position
We are seeking a hands-on Full-Stack Developer with Generative AI expertise to join our team and lead the development of a real-time AI application leveraging AWS serverless architecture, FastAPI, and LLM-based pipelines. The ideal candidate is a builder with a deep understanding of full-stack development, cloud-native applications, and AI-powered user experiences.
Description of the area
Job Responsibilities
Build and enhance React-based frontends hosted on CloudFront
Design scalable, low-latency APIs using FastAPI (Python) integrated with API Gateway (REST + WebSocket)
Develop AWS Lambda functions for backend services, data handling, and orchestration
Hands-on experience with OpenSearch for implementing scalable search functionality
Manage authentication using SSO, and enable secure access flows
Integrate real-time WebSocket interfaces for LLM streaming and dashboarding
Work closely with data science teams to connect LLM pipelines (LangChain + RAG) and vector search mechanisms
Design and maintain serverless data layers using DynamoDB, Aurora PostgreSQL, Athena, and S3
Participate in CI/CD automation using GitHub Actions, CloudFormation/CDK, and manage IAM roles/policies
Collaborate on data pipelines using AWS Glue, Airflow (MWAA), and Sagemaker for model training/inference
Qualifications
Education / Experience
Proven experience successfully driving small to medium (S/M) initiatives (Project/Squad/Product).
Demonstrated experience acting as a technical mentor and sharing knowledge through speeches and organized events.
Technical Skills
Frontend: React, TypeScript, CloudFront
Backend: FastAPI (Python), AWS Lambda, API Gateway (REST + WebSocket), Cognito
Search & Storage: OpenSearch, DynamoDB, Aurora PostgreSQL, S3, Athena
GenAI & RAG: LangChain, FAISS, Pinecone, OpenAI, Claude, AWS Bedrock
Data Engineering: AWS Glue, Airflow (MWAA)
DevOps: GitHub Actions, CloudFormation/CDK, IAM Roles
Streaming & Realtime: WebSockets, LLM streaming pipelines
You Should Also Have
Proven experience in building production-grade GenAI features using LLM APIs and RAG pipelines
Hands-on experience with serverless app development on AWS
Solid understanding of FastAPI, microservices architecture, and REST/WebSocket API design
Comfort with both structured data (PostgreSQL) and NoSQL (DynamoDB)
Experience working in a CI/CD DevOps environment with infrastructure-as-code
Excellent problem-solving skills, and ability to troubleshoot complex cloud-native systems
#hyderabad2026
Who we are
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.
Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 1376 comparable Information Technology roles across 76 biopharma companies.
Salary context
183 of 1376 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
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Seniority mix
693 of 1376 peers have a known seniority level
Therapeutic area mix
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