AI Software Engineer Lead

B CAPITAL, LLC
Jackson Township, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Jackson Township, United States of America

Tech stack

C
Java
Artificial Intelligence
Data analysis
Cloud Engineering
Computer Programming
Distributed Systems
Python
Machine Learning
Software Engineering
Large Language Models
Generative AI
Information Technology
GPT

Job description

AlphaLife Sciences is seeking an AI Engineer Leader to drive AI innovation for new projects in clinical workflows. You will lead a small team of AI engineers, provide technical guidance, and help turn cutting-edge AI/LLM technologies into practical solutions that accelerate processes, extract insights, and support clinical innovation.

We're looking for a hands-on, proactive technologist who is passionate about AI, curious about new technologies, and capable of mentoring junior engineers in a fast-paced startup environment. Responsibilities

  • Lead a small team of AI engineers and guide their development on project tasks.
  • Design, develop, and prototype AI/LLM solutions for real-world clinical workflows.
  • Collaborate closely with Product Managers and cross-functional teams to implement innovative AI solutions.
  • Mentor junior engineers and support skill development and productivity.
  • Stay up to date with cutting-edge AI/ML research and apply relevant advances to projects.

Requirements

  • Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field.
  • 3-7 years of experience in AI/ML or software development with AI/LLM projects.
  • Strong programming skills in Python, Java, C/C+, or similar languages.
  • Hands-on experience with generative AI, LLM frameworks, or other modern AI/ML technologies.
  • Proactive, curious, and able to work in a fast-paced startup environment.
  • Experience mentoring or guiding junior engineers.
  • Must be authorized to work in the United States.

Nice-to-have

  • Experience in clinical workflows, clinical trials, or life sciences applications.
  • Data analysis, cloud development, or distributed systems experience.
  • Experience deploying AI solutions in production.

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