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Principal Backend Engineer AI (Python)

Key Facts

Remote From: 
Full time
English

Other Skills

  • Client Confidentiality
  • Adaptability
  • Communication
  • Multitasking
  • Time Management
  • Teamwork
  • Mentorship
  • Problem Solving

Roles & Responsibilities

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • 12+ years of backend development experience with 5+ years building scalable Python applications and APIs
  • Expert-level proficiency in Python with modern frameworks (FastAPI, Django REST Framework, Flask); strong Java skills are a plus
  • Experience with large-scale distributed systems and microservices, PostgreSQL/MySQL, and ORM frameworks (SQLAlchemy/Django ORM); containerization and cloud platforms (Docker, Kubernetes, AWS/GCP/Azure)

Requirements:

  • Design and implement scalable RESTful APIs and backend services for the AI platform, including agent lifecycle management, deployment, and monitoring
  • Develop Python/Java SDKs and client libraries to enable teams to interact with the platform through APIs and UIs
  • Build secure authentication/authorization for multi-tenant environments and design efficient data access layers and database schemas
  • Lead technical discussions, mentor junior engineers, establish the AI platform roadmap, and ensure security, privacy, and regulatory compliance across the SDLC

Job description

Overview:

We are seeking a highly experienced Principal Software Engineer to design and build the backend infrastructure for our centralized AI platform. This role will focus on developing robust, scalable backend services that power our agentic framework and enable teams across the company to securely deploy, manage, and access AI agents through unified APIs and user interfaces.

Responsibilities:
  • Design and implement scalable RESTful APIs endpoints for the AI platform.
  • Design and develop Python/Java SDKs that provide intuitive interfaces for teams to interact with the AI platform.
  • Build robust backend services using Python (FastAPI, Django, or Flask) to handle agent lifecycle management, deployment, and monitoring.
  • Develop secure authentication and authorization systems supporting multi-tenant architecture.
  • Understand how an agentic solution works and create efficient data access layers and database schemas that enable AI agents to interact with various internal data sources.
  • Implement asynchronous task processing systems for handling long-running AI agent operations.
  • Lead technical discussions, mentor junior engineers, and help set the technical vision for the AI platform roadmap.
  • Ensure compliance with security, privacy, and regulatory requirements across the software development lifecycle.
  • Provide technical guidance on backend architecture, Python development, and SDK design best practices.
  • Complete all responsibilities as outlined in the annual performance review and/or goal setting. 
  • Complete all special projects and other duties as assigned. 
  • Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.  

Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 12+ years of backend development experience with 5+ years building scalable Python applications and APIs.
  • Experience in building large-scale distributed systems and microservices.
  • Strong programming skills in Python; proficiency in Java a plus.
  • Expert-level proficiency in Python and modern frameworks (FastAPI, Django REST Framework, Flask).
  • Strong experience with database technologies (PostgreSQL, MySQL) and ORM frameworks (SQLAlchemy, Django ORM).
  • Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
  • Proven experience developing and maintaining SDKs or client libraries for internal or external usage.
  • Strong experience with version control (Git), CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), and automated testing.
  • Experience with containerization and orchestration (e.g., Docker, Kubernetes).
  • Cloud platform experience (AWS, GCP, or Azure).

Cognitive / Mental Requirements:

  • Ability to navigate complex and fast-changing technologies and requirements.
  • Ability to work independently as well as collaborate as a team with a sense of urgency.
  • Professional with the ability to properly handle confidential information.
  • Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.
  • Ability to handle multiple tasks, prioritize, and meet deadlines.

Physical Requirements and Working Conditions:

  • Flexibility to work with global teams as well geographically dispersed US based teams.
  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands, and/or fingers.
  • Must be able to provide a dedicated, secure work area.
  • Must be able to provide high-speed internet access/connectivity and office setup and maintenance.

Base compensation ranges from $210,000 to $250,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration.  

 

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.

 

Date of posting: 09/26/2025

Applications are assessed on a rolling basis. We anticipate that the application window will close on 12/26/2025, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

 

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