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Principal Backend Engineer AI; Python

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Cotiviti US & Canada Page
Full Time position
Listed on 2026-01-01
Job specializations:
  • Software Development
    Python, Software Engineer
Salary/Wage Range or Industry Benchmark: 240000 USD Yearly USD 240000.00 YEAR
Job Description & How to Apply Below
Position: Principal Backend Engineer AI (Python)

Employer Industry: AI and Technology Solutions

Why consider this job opportunity
  • Salary up to $240,000 per year
  • Competitive benefits package including medical, dental, vision, and life insurance
  • 401(k) savings plans and paid family leave
  • Generous Paid Time Off (PTO) ranging from 17-27 days per year
  • Opportunity to work remotely and collaborate with global teams
  • Chance to lead technical discussions and mentor junior engineers
What to Expect (Job Responsibilities)
  • Design and implement scalable RESTful API endpoints for the AI platform
  • Develop Python/Java SDKs for intuitive team interaction with the AI platform
  • Build robust backend services to manage agent lifecycle, deployment, and monitoring
  • Lead technical discussions and set the technical vision for the AI platform roadmap
  • Ensure compliance with security, privacy, and regulatory requirements throughout the software development lifecycle
What is Required (Qualifications)
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 12+ years of backend development experience with 5+ years in scalable Python applications and APIs
  • Strong programming skills in Python; proficiency in Java is a plus
  • Expert-level proficiency in Python and modern frameworks (FastAPI, Django REST Framework, Flask)
  • Hands‑on experience with agentic AI frameworks such as Lang Chain or similar
How to Stand Out (Preferred Qualifications)
  • Experience building large-scale distributed systems and microservices
  • Proven experience developing and maintaining SDKs or client libraries for internal or external usage
  • Strong experience with version control (Git), CI/CD pipelines, and automated testing
  • Experience with containerization and orchestration (e.g., Docker, Kubernetes)
  • Cloud platform experience (AWS, GCP, or Azure)
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