AI Engineer

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

Requirements

• Masters 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
• Healthcare and/or finance industry experience strongly preferred
• 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…

Qualifications

• 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
• Ability to work in a hybrid environment in our local Boston office

Skills

• 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.

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

Pay

RA Capital Management is committed to fair and equitable compensation practices. Pay for this position will be based on experience, skills, qualifications, and current market conditions. In addition to base salary (listed below), employees may be eligible for performance-based bonuses and a comprehensive benefits package that includes health insurance, retirement contributions, and paid time off.

Schedule

We offer a hybrid work schedule in our local Boston office.

Location

Boston, Massachusetts