Full Stack Developer Submission Data and Content Generation & Reuse (AIDCG) - Pharma R&D

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.

• 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.