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# AI Fullstack Engineer

- **Company:** INFOBAHN SOFTWORLD INC
- **Location:** South San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Microsoft Word, JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Clinical Data Repository, Code Review, Data Infrastructure, DevOps, Distributed Systems, Django Web Framework, Fault Tolerance, Python (Programming Language), Scrum Methodology, Tensorflow, Software Systems, WebSocket, Data Processing, Pytorch, ReactJS, Flask (Web Framework), Large Language Models, Snowflake, Prompt Engineering, Generative AI, Backend, Fastapi, Vue.js, Containerization, Kubernetes, Information Technology, HuggingFace, Playwright, Front End Software Development, Restful APIs, Docker
- **Published:** September 11, 2026
- **Apply:** https://www.thejobnetwork.com/job/b8d74c67-164c-4363-92be-acf8072391d4/senior-ai-fullstack-engineer

## About the Role

Client is seeking a highly skilled Senior AI Fullstack Engineer to design, develop, and deploy AI-enabled software solutions that support clinical development. This role sits within the Clinical Data Insights & Automation (CDI&A) team and involves close collaboration with AI scientists, product managers, and cross-functional clinical stakeholders.

The ideal candidate will bring strong full stack engineering expertise combined with hands-on experience integrating LLMs, generative AI, and AI-assisted automation into production-grade applications., * Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field

 * 5+ years of full stack software development experience
 * 4+ years of front-end development (Vue.js preferred; React acceptable)
 * Strong backend experience with Python and/or JavaScript frameworks
 * 2+ years of experience developing and deploying AI/ML-enabled applications
 * Experience with REST APIs, prompt engineering, and LLM integration
 * Strong automated testing experience (Python unittest, Jest, Playwright)
 * Experience with containerized architectures (Docker, Kubernetes, Podman)
 * Familiarity with Agile/Scrum methodologies
 * Strong system design skills for scalable, distributed systems
 * Experience with cloud platforms (AWS preferred) and modern data platforms (Snowflake)
 * Excellent communication skills, including explaining technical concepts to non-technical stakeholders, * Experience building AI agents, RAG pipelines, and chatbot applications
 * Experience with Hugging Face, LangChain, TensorFlow, PyTorch, or similar frameworks
 * Experience with bias, fairness, and evaluation of LLM systems
 * Experience developing Microsoft Word add-ins using Office.js
 * Knowledge of JWT, WebSockets, CRDTs (e.g., Yjs)
 * Familiarity with DevOps and CI/CD best practices
 * Experience applying NLP/LLMs to clinical or healthcare text
 * Basic understanding of clinical drug development

## Description

* Design, develop, and deploy full stack applications supporting clinical development initiatives
 * Integrate AI/LLM capabilities to enhance data processing and natural language workflows
 * Build intuitive, user-centric front-end interfaces
 * Develop and maintain RESTful APIs using Python-based frameworks (FastAPI, Django, Flask)
 * Collaborate with AI scientists to integrate generative AI, RAG, and chatbot solutions
 * Implement scalable, fault-tolerant system designs for distributed applications
 * Build and maintain CI/CD pipelines and containerized deployments (Docker, Kubernetes, Podman)
 * Monitor production systems and improve performance, reliability, and observability
 * Write clean, maintainable, well-documented code and participate in code reviews
 * Stay current with advancements in generative AI, LLMs, and ML best practices


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