Openkyber - AI Infrastructure Engineer

AI Developer is needed in California, United States.

Client: Openkyber

Location: California

Contract: undefined

Job Description

The Senior AI Fullstack Engineer will work within the Early Clinical Development (ECD) department, reporting to the Director of software engineering at the Clinical Data Insights & Automation team (CDI&A). The role involves designing, developing, and deploying software solutions utilizing generative AI models in collaboration with various stakeholders in the clinical development process. The engineer will help innovate and deliver impactful solutions that leverage AI to enhance user experiences.

Requirements

Minimum 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 a front-end framework (Vue.js, React, or similar) and 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 (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.
• Leadership skills in system design and implementing scalable, fault-tolerant solutions for complex, distributed computing challenges.
• Strong interpersonal and communication skills, capable of articulating 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).

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 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 using NLP/LLMs on clinical text.
• Basic knowledge of clinical drug development.