AI Engineer

Location:
Waltham, MA (hybrid- 3 days In-Office)

• Design, implement, and optimize backend services that power machine learning-driven features in production environments
• Design and build backend systems that serve machine learning models in production, with a focus on performance, reliability, and scalability
• Ensure model predictions are observable and measurable, enabling evaluation using metrics such as precision, recall, and business impact
• Collaborate with product and cross-functional teams to refine requirements, prioritize high-impact problems, and translate them into clear technical solutions
• Contribute to system design, architecture reviews, and code quality improvements
• Diagnose and resolve complex issues across backend services, data pipelines, and model inference systems, including identifying gaps in model performance and system behavior
• Support innovation and continuous improvement by identifying opportunities and driving technical initiatives

• 5+ years of backend engineering experience in Python
• Proven experience building high-performance or distributed systems
• Experience deploying and serving machine learning models in production systems, including building inference pipelines and integrating model outputs into backend services
• Experience evaluating model performance using metrics such as precision, recall, or other business-relevant measures
• Strong understanding of cloud infrastructure, microservices, and observability, including logging and monitoring systems to track model predictions and system performance
• Ability to operate effectively under ambiguity and navigate dynamic environments
• Strong communication and collaboration skills

This role focuses on building and operating production systems that leverage machine learning models. It is not primarily focused on model research, experimentation-only workflows, or prompt engineering.

We are hiring for multiple AI Engineers. US annual base salary ranges for this full time position are as follows:

• AI Engineer (IC1): 2+ Years of
  
  Experience:
  
  $105,000-$142,000
• AI Engineer (IC2): 3+ Years of
  
  Experience:
  
  $127,000-$171,000
• AI Engineer (IC3): 4+ Years of
  
  Experience:
  
  $152,000-$206,000
• AI Engineer (IC4): 10+ Years of
  
  Experience:
  
  $196,000-$265,000

US annual base salary range for this full-time position:

$105,000 - $265,000 USD

The range displayed on this job posting reflects the minimum and maximum target for new hire base salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. ERGO NEXT employees are also potentially eligible for our annual performance-based incentive program, in addition to our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more.

One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws.

ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.