Posted at: 31 October

Senior Software Engineer - Backend

Company

Gradient AI

Gradient AI is a Boston-based B2B SaaS provider specializing in AI solutions for the insurance industry, focusing on underwriting and claims management for Group Health and Property & Casualty sectors.

Remote Hiring Policy:

Gradient AI offers fully remote opportunities for various roles, with team members potentially located in multiple regions, including the United States. Specific hiring locations are not explicitly defined.

Job Type

Full-time

Allowed Applicant Locations

United States

Salary

$125,000 to $165,000 per year

Apply HereThis position is no longer accepting applications

Job Description

This is a fully remote opportunity. 

Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry’s largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team. 

About the Role:    

We are looking for back end senior software engineers to build and improve our AI/ML claims and underwriting platforms. The ideal candidate is a lifelong learner who knows Python, with strong analytical skills and an interest in Machine Learning.  

How you will make an impact: 

  • Contribute to any and all parts of our flow for developing and deploying our high-volume predictive models, including API development   
  • Utilize our tech stack that includes Python (Pandas, NumPy and PyTorch), Kubernetes, Git, Flask, Docker, SQL, and more in a Linux environment  
  • Be involved in high-level design and architecture decisions, as well as hands-on development  
  • Integrate Gradient AI’s propriety and 3rd party data and Machine Learning models into high-performance client-facing APIs and analytics. 
  • Work closely with our data science and data engineering teams to design and develop robust ML Ops pipelines 

 Skills needed to succeed:   

  • 5+ years of professional software engineering experience, with significant backend development in Python and libraries (Pandas, NumPy; PyTorch)
  • Strong SQL skills, plus familiarity with Bash scripting and Git.
  • Exposure to cloud environments (AWS preferred) and containerization (Docker, Kubernetes a plus).
  • Experience with service-oriented architecture and building scalable, reliable systems.
  • Comfortable balancing new feature development with maintaining/extending existing systems.
  • Prior experience partnering with Data Science teams and productionizing ML models (nice to have).
  • Strong collaboration and communication skills, with the ability to explain technical decisions to diverse stakeholders.
  • Excited to work in a startup environment: proactive, adaptable, and eager to take ownership.

What We Offer:  

  • A fun, team-oriented startup culture.  
  • Generous stock options - we all get to own a piece of what we’re building.  
  • Unlimited vacation days.  
  • Flexible schedule that supports working from home.  
  • Full benefits package including medical, dental, vision, 401k, and more.  
  • Ample opportunities to learn and take on new responsibilities.  
  • Paid parental leave

We are an equal opportunity employer. 

Chosen as a top place to work by BuiltInBoston!

Salary Range: $125-165k base salary annually.
This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.

 

#LI-REMOTE

Apply HereThis position is no longer accepting applications