Senior AI Fullstack Engineer
Senior AI Fullstack Engineer ROCGJP00039270
- Hourly pay: $50-$60/hr
- Worksite: Leading biotech company (South San Francisco, CA 94080 - Onsite)
- W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
- 40 hours/week, 12 Month Assignment
A leading biotech company is seeking a Senior AI Fullstack Engineer. The successful candidate will be primarily responsible for designing, developing, and deploying software that interacts with cutting-edge generative AI models and applications in collaboration with AI scientists, full-stack developers, and others.
Senior AI Fullst ack Engineer Responsibilities:
- 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.
- Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications. Monitor pipeline performance in production and implement necessary improvements.
Senior AI Fullsta ck Engineer Qualifications:
- 5+ years of full-stack development experience.
- Strong proficiency in either a front-end framework (Vue.js, React, or similar) and a backend web framework in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar).
- 4+ years of experience with front-end frameworks (preferably Vue.js).
- 2+ years of developing and deploying AI/ML solutions or applications.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- 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.
- Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges.
- Leading system design and implementing scalable, fault-tolerant solutions for complex, distributed computing challenges.
- Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- 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)
- A clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standards of practice.
- Experience building AI agents, fine-tuning LLM models, and evaluating bias and fairness with LLM systems is preferred.
- Experience in developing Microsoft Word add-ins using Office.js is preferred.
- Experience with web technologies like JWT, WebSockets, etc. is preferred.
- Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar is preferred.
- Familiarity with DevOps, infrastructure, and continuous integration concepts is preferred.
- Familiarity with CRDT technologies like Yjs is preferred.
- Experience with using NLP/LLMs on clinical text is preferred.
- Basic knowledge of clinical drug development is preferred.
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