Staff Engineer, AI Engineer

Overview

One Trajector. One Mission.

Trajector is where purpose meets progress. We specialize in medical evidence services that become the compass our clients rely on while navigating the intricate terrain of disability benefits. Our calling is clear: to make a real difference, infuse passion, and enhance the quality of life for the disabled community. As part of our global community, you'll join a team of over 1,800 dedicated individuals, each contributing their unique talents to streamline the path to benefits.

Urgency propels us, data empowers us, and every step is tailored to ensure those with disabilities access their rightful compensation. Join us in shaping stories of transformation, one life at a time.

We are seeking an experienced Staff Engineer to architect, deliver, and scale advanced AI/ML systems that directly drive business value. This role is ideal for a technical leader who thrives at the intersection of machine learning, architecture, and cloud engineering.

• Competitive compensation ranging from $170,000 - $200,000 per year PLUS quarterly bonus.
• Medical, dental, vision, 401k program, and more.
• Paid time off, including seven (7) federal holidays plus two (2) flex holidays for DEI.
• Joining a rapidly growing organization.

• Architect and implement complex AI/ML systems that align with business and product objectives within the AWS cloud.
• Serve as a subject matter expert on application engineering systems integrating with AI/ML components.
• Drive large scale AI/ML project execution and foster cross functional collaboration between data science, ML engineering, and product teams.
• Define and champion best practices for engineering, including code quality, system reliability, and operational excellence.
• Mentor ML engineers to elevate team capabilities and maintain technical excellence.

• 7+ years of experience in cloud native engineering development, with at least 3 years in a senior or staff level technical role.
• Demonstrated experience of shipping/delivering large scale ml engineering projects.
• Proven expertise in architecting and scaling production grade AI/ML systems, including model serving, training pipelines, and observability.
• Deep understanding of distributed systems, data pipelines, and cloud native architectures (e.g., AWS, Kubernetes, Terraform, CI/CD frameworks).
• Strong proficiency in Python and familiarity with frameworks such as Tensor Flow, PyTorch, or similar ML libraries.
• Demonstrated ability to drive technical alignment and execution across multiple teams or departments.
• Experience applying ethical AI principles, including fairness, transparency, and privacy compliance, to real world projects.
• Strong communication and leadership skills for influencing and guiding technical teams.
• Advanced degree in Computer Science, Engineering, or a related field preferred; equivalent experience considered.

Tech Stack

• Python
• AWS (Sage Maker, ECS, Lambda, S3, Fargate, etc.)
• Terraform, CI/CD frameworks

Trajector is an EOE/Veterans/Disabled/LGBTQ employer