Avispa Technology
Overview
Senior AI Fullstack Engineer ROCGJP00037833 Hourly pay:
$50-$60/hr Worksite: Leading biotechnology 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 biotechnology company is seeking a
Senior AI Fullstack Engineer.
The successful candidate will primarily be 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. 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. Qualifications
5+ years of full-stack development experience. 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. 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). 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). 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. Clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice. 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. 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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Senior AI Fullstack Engineer ROCGJP00037833 Hourly pay:
$50-$60/hr Worksite: Leading biotechnology 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 biotechnology company is seeking a
Senior AI Fullstack Engineer.
The successful candidate will primarily be 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. 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. Qualifications
5+ years of full-stack development experience. 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. 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). 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). 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. Clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice. 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. 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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