Senior AI Full Stack Engineer

Senior AI Full Stack Engineer Job Description Advance your career with Mindlance! We have been connecting talented IT professionals with world-class companies since 1999. Mindlance is here to help you to find the perfect fit with just the right company. Currently, we are seeking a Senior AI full-stack engineer for an exciting career growth opportunity. Make your next big career move with the kind of position that will allow you to be genuinely passionate about the work you do! Our recruiters will work closely with you to help you get the edge over the competition. Let Mindlance advocate for you – apply today! “Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.” Job Title: Senior AI Full Stack Engineer Job Category: Information Technology Industry: Biotechnology Job Location: South San Francisco, CA Zip Code: 94080 Top 3/5 Skills: AI/ML experience, JavaScript with Vue.js, React, or similar, Python Min & Max Pay Rate: $75/hr.-$80/hr. only W2 This position is required to be on-site 3 days/week in South San Francisco, CA Contract: 12 months (possible extension up to 3 years) Who You Are: · An experienced full-stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor. · Someone with a clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice. 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.