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

6221 Roche Information Solutions India Private Limited

Hyderabad

On-site

INR 4,000,000 - 7,000,000

Full time

4 days ago
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Job summary

Roche seeks a hands-on Full-Stack Developer with Generative AI expertise to lead the real-time AI application using AWS serverless architecture, FastAPI, and LLM-based pipelines. You will build scalable frontends with React, craft low-latency APIs, and collaborate with data science teams on LangChain and RAG integration.

The role demands cloud-native development, serverless data layers, and DevOps practices to deliver impactful healthcare solutions globally.

Qualifications

  • Proven experience delivering production-grade GenAI features with LLM APIs and RAG pipelines.
  • Hands-on experience building serverless applications on AWS.
  • Solid understanding of FastAPI, microservices, REST/WebSocket design.
  • Experience with structured data (PostgreSQL) and NoSQL (DynamoDB).
  • CI/CD and IaC in a cloud-native environment.
  • Strong debugging and problem-solving for complex cloud systems.

Responsibilities

  • Build and enhance React-based frontends hosted on CloudFront.
  • Design scalable APIs using FastAPI integrated with API Gateway.
  • Develop Lambda functions for backend services and data orchestration.
  • Implement scalable search with OpenSearch.
  • Manage authentication using SSO and secure access flows.
  • Integrate real-time WebSocket interfaces for LLM streaming and dashboards.
  • Connect LLM pipelines (LangChain+RAG) and vector search mechanisms.
  • Maintain serverless data layers with DynamoDB, Aurora PostgreSQL, S3.

Skills

React
TypeScript
FastAPI (Python)
AWS Lambda
API Gateway (REST + WebSocket)
OpenSearch
LangChain
RAG
DynamoDB
Aurora PostgreSQL
S3
WebSocket
CloudFront
CI/CD

Tools

CloudFront
GitHub Actions
CloudFormation
CDK
MWAA Airflow
SageMaker

Job description

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.

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

Shift: CET time zone #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.

We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future.

We are passionate about transforming patients’ lives.

We are courageous in both decision and action.

And we believe that good business means a better world.

That is why we come to work each day.

We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all.

We do this today to build a better tomorrow.

We are proud of who we are, what we do, and how we do it.

We are many, working as one across functions, across companies, and across the world.

We are Roche.

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