Sr AI Fullstack Engineer (GC/Citizens, W2 Only)

Dawar Consulting•South San Francisco, CA

About The Position

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.

Requirements

Bachelor’s or Master’s 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 (Vue.js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar)
4+ years experience with front -end frameworks (preferably Vue.js)
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)

Nice To Haves

Experience building AI agents, fine -tuning LLM models, and evaluating bias and fairness with LLM systems
Experience in developing Microsoft Word add -ins using Office.js.
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

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.
Write clean, maintainable, and well -documented code. Participate in code reviews and contribute to best practices in software development.
Stay up -to -date with the latest advancements in generative AI and machine learning. Evaluate new technologies and methodologies to continuously improve our solutions.
Work closely with data scientists, engineers, and product managers to integrate generative AI capabilities into our products and services.
Develop and maintain robust deployment pipelines for AI -enhanced applications. Monitor pipeline performance in production and implement necessary improvements.