AI Engineer
About The Position
As an engineer within the AI/ML space, you'll be instrumental in developing and implementing AI/ML solutions that transform how we identify and evaluate investment opportunities in biomedical technologies. You'll work at the intersection of software development, large language models, predictive analytics, and investment analysis. You'll be working with extensive proprietary datasets and building systems that directly impact investment decisions in breakthrough medical and climate technologies. Success in this role means creating AI systems that help fund innovations that can extend and improve human lives.
Requirements
- Master's in a Computer Science – AI and Machine Learning field required; Bachelors Degree with equivalent experience
- Extensive academic or professional background in Computer Science with AI specialization
- 2-3 years of professional software engineering experience
- Expert-level Python programming skills
- Strong proficiency in JavaScript and Java
- Deep understanding of machine learning fundamentals (regression, classification, clustering)
- Extensive knowledge of neural networks and deep learning frameworks (PyTorch)
- Proven expertise with AWS AI platforms (SageMaker, Bedrock)
- Experience with containerization and orchestration (ECS, Kubernetes)
- Strong foundation in algorithms and data structures
- Strong proficiency with the latest agentic coding techniques using tools like Claude Code or Codex.
- Professional experience with building advanced AI workflows, MCPs, agent swarms etc…
- Excellent English communication skills for collaboration with team members and stakeholders
- Strong problem-solving abilities and investigative mindset
- Experience with full AI/ML development lifecycle
- Ability to work in a collaborative, mentorship-driven environment
Nice To Haves
- Healthcare and/or finance industry experience strongly preferred
Responsibilities
- Design and develop end-to-end AI applications, from concept through deployment
- Create and optimize deep learning models for diverse data types (time-series, business data, images) and prediction tasks
- Build and enhance large language models trained on proprietary research data
- Implement real-time prediction systems operating on various timescales (millisecond to daily)
- Develop full-stack AI applications with both frontend and backend components
- Optimize model performance and solve complex multi-layered data challenges
Benefits
- Employer-paid monthly premiums for health, dental, and vision coverage
- Wellness benefits and programs to support physical and mental well-being
- Resources and perks that enhance work-life balance and financial security
- performance-based bonuses
- retirement contributions
- paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
