Sr AI Fullstack Engineer

Our client a world leader in biotechnology and life sciences is looking for a "Sr AI Fullstack Engineer based out of South San Francisco CA.

Job Duration: Long Term Contract (Possibility Of Extension)

Pay Rate : $85/hr on W2 DOE

Company Benefits: Medical Dental Vision Paid Sick leave 401K

Duration: Long term contract (Possibility of further extension)

The Sr AI Fullstack Engineer will primarily be responsible for designing developing and deploying software which interacts with cutting-edge generative AI models and applications in collaboration with AI scientists full stack developers and others.

The Opportunity:

• Innovate and develop software applications to support clinical development
  
• Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows.
  
• Design intuitive user-centric interfaces.
  
• Code Quality and Documentation: Write clean maintainable and well-documented code. Participate in code reviews and contribute to best practices in software development.
  
• Research and Innovation: Stay up-to-date with the latest advancements in generative AI and machine learning. Evaluate new technologies and methodologies to continuously improve our solutions.
  
• Collaborate with Cross-Functional Teams: Work closely with data scientists engineers and product managers to integrate generative AI capabilities into our products and services.
  
• Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications. Monitor pipeline performance in production and implement necessary improvements.
  

Minimum Requirements:

• Bachelors or Masters degree in Computer Science Engineering Mathematics or a related field.
  
• 5 years of full stack development experience
  
• Strong proficiency in either a front-end framework ( React or similar) and a backend web frameworks in Python and/or JavaScript (Django FastAPI Flask or similar)
  
• 4 years experience with front-end frameworks (preferably )
  
• 2 years of developing and deploying AI/ML solutions or applications
  
• Experience designing and developing RESTful APIs (with e.g. Python FastAPI).
  
• Familiarity with prompt engineering
  
• Proficiency with containerized workflows and architectures (Podman Docker Kubernetes)
  
• Strong automated software testing skills (Python unittest jest Playwright)
  
• Familiar with Agile methodologies
  
• Leading system design and implementing scalable fault-tolerant solutions for complex distributed computing challenges.
  
• Experience with cloud platforms (e.g. AWS) and modern data platforms (e.g. Snowflake).
  
• Experience implementing chatbots retrieval-augmented generation (RAG) systems and integrating LLMs into applications (AI-assisted automation)
  

Preferred Qualifications:

• Experience building AI agents fine-tuning LLM models and evaluating bias and fairness with LLM systems
  
• Experience in developing Microsoft Word add-ins using .
  
• Experience with web technologies like JWT WebSockets etc.
  
• Experience with Huggingface Langchain TensorFlow PyTorch or similar.
  
• Familiarity with DevOps infrastructure and continuous integration concepts.
  
• Familiarity with CRDT technologies like Yjs.
  
• Experience with using NLP/LLMs on clinical text.
  
• Basic knowledge of clinical drug development
  

If interested please send us your updated resume at

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