AI Fullstack Engineer

INFOBAHN SOFTWORLD INC

South San Francisco, CA, United States

1 day ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.thejobnetwork.com

Tech stack

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

+24 more

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

Job 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

Requirements

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