Senior Full Stack Engineer

Accountabilities: Design, orchestrate, and deploy robust multi-agent systems using LangGraph and LangChain to support complex pharmaceutical workflows, including literature synthesis, adverse event extraction, clinical trial protocol drafting, and code or data validation. Build and benchmark enterprise RAG pipelines using hybrid semantic search, domain-specific embeddings such as BioBERT and PubMedBERT, reranking techniques, and optimized chunking strategies across AWS OpenSearch and vector databases. Integrate foundation models, including Claude, Llama, and specialized fine-tuned biomedical language models, through AWS Bedrock. Implement Bedrock Agents or AgentCore and custom Action Groups for structured downstream execution. Develop agent governance and safety mechanisms, including deterministic guardrails, citation attribution, hallucination detection, human-in-the-loop checkpoints, and audit trails to support clinical reproducibility. Build production-grade asynchronous RESTful and streaming APIs using Python and FastAPI, managing application state, background workers, and distributed processes with tools such as Celery, Redis, and SQS. Develop responsive web applications using React.js and TypeScript, including clinical dashboards, streaming chat interfaces, graph visualizations, and validation workflows. Design and maintain high-performance relational and non-relational data architectures using PostgreSQL, PGVector, DynamoDB, DocumentDB, and MongoDB. Architect containerized cloud solutions using Docker, AWS ECS with Fargate, or Kubernetes, alongside serverless services such as Lambda, Step Functions, EventBridge, and S3. Implement data protection and security controls for sensitive personal and health information, supporting compliance with HIPAA, GDPR, GxP, and 21 CFR Part 11. Establish auditability and software quality practices through immutable audit logs, SOUP scanning, anti-malware workflows, SonarQube quality gates, and automated testing with pytest and Playwright or Selenium. Requirements: At least 6 years of full-stack software development experience, including a minimum of 2 years building and deploying generative AI and agentic workflows in production. Expert-level proficiency in Python 3.x, FastAPI, asynchronous programming, and enterprise API design patterns. Strong hands-on experience with React.js, modern state management tools such as Redux Toolkit or Zustand, and real-time communication technologies including WebSockets and Server-Sent Events (SSE). Experience with scientific data visualization libraries and building interfaces for complex technical or clinical workflows. Proven experience deploying production agentic AI workflows using LangGraph and LangChain, including state graphs, cyclical workflows, reflection, multi-agent collaboration, and handoffs. Deep understanding of tool calling, function calling, dynamic routing, and the Model Context Protocol (MCP). Hands-on expertise in enterprise RAG systems, including query rewriting, self-correction, and hybrid search. Strong practical experience with AWS services, particularly Bedrock, OpenSearch, ECS, Lambda, S3, IAM, CloudWatch, and EventBridge. Solid DevOps and testing capabilities, including Docker, GitLab CI/CD or GitHub Actions, static security analysis, unit testing with pytest, and integration testing. Preferred: Experience in pharmaceutical, biotech, clinical trials, pharmacovigilance, or medical imaging environments. Preferred: Familiarity with DICOM standards, AWS HealthImaging, and clinical data formats such as CDISC, FHIR, or HL7. Preferred: Experience configuring AWS Bedrock Agents or AgentCore, including OpenAPI schemas. Preferred: Knowledge of hosting and experimenting with specialized open-weight models such as BioMistral, Med-PaLM, Ollama, or Hugging Face models using AWS SageMaker. Preferred: AWS Certified Solutions Architect (Associate or Professional) or AWS Machine Learning Specialty certification. Benefits: Fully remote work arrangement in India. Opportunity to work on large-scale projects with global impact and cutting-edge AI technologies. Collaborative and supportive professional community with an open-door culture. Continuous learning opportunities through internal meetups, conferences, workshops, and access to Udemy. Language courses and company-sponsored professional certifications. Opportunities for internal mobility and exposure to different industries and technical domains. Company-paid medical insurance. Mental health support. Financial and legal consultation services.