AI Platform & Application Developer

FRAMATOME

$85K — $116K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science or a related field; equivalent experience accepted.
  • Minimum 4 years of related experience in Information Technology.
  • Advanced knowledge of IT practices and procedures.
  • Proven ability to design scalable and secure solutions.
  • Strong communication and interpersonal skills for team collaboration.
  • Adaptability to changing priorities and problem-solving capabilities.

Responsibilities

  • Design and develop AI-enabled applications using LLM frameworks.
  • Build and integrate solutions with AI tooling and orchestration frameworks.
  • Create scalable backend services and APIs in Python, C#, and Node.js.
  • Manage containerized applications in Kubernetes and Azure AKS.
  • Support hybrid cloud architectures across Azure GCC High and on-premises.
  • Collaborate with teams to ensure secure, scalable solution delivery.
  • Implement CI/CD pipelines and automate developer workflows.

Benefits

  • Multiple medical plan options, including dental and vision.
  • 401(k) with employer match for retirement savings.
  • Up to 3 weeks of vacation and 13 paid holidays annually.
  • Lifestyle spending account and employer-paid mental health support.
  • Professional development opportunities and education reimbursement.
Full Job Description
Why This Role Is Critical

The AI Platform & Application Developer role is critical to Framatome's digital transformation strategy by enabling the development of secure, scalable AI solutions that improve operational efficiency, automate complex workflows, enhance data-driven decision-making, and support innovation across the organization. In a highly regulated and safety-focused industry, this role also ensures AI technologies are implemented responsibly with strong governance, cybersecurity, and reliability standards, helping position Framatome as a leader in modernizing the nuclear energy sector.

What You'll Do Day-To-Day

  • Design and develop AI-enabled applications leveraging modern LLM frameworks and agent-based architectures
  • Build and integrate solutions using emerging AI tooling, orchestration frameworks, and MCP technologies
  • Develop scalable backend services and APIs using Python, C#, and Node.js
  • Deploy and manage containerized applications in Kubernetes environments both on-premise and in Azure AKS
  • Support hybrid cloud architectures spanning Azure GCC High and on-premise infrastructure
  • Collaborate with infrastructure, cybersecurity, and development teams to deliver secure, scalable solutions
  • Implement CI/CD pipelines and developer automation workflows
  • Evaluate emerging AI technologies and recommend platform improvements
  • Optimize AI application performance, scalability, and operational reliability
  • Participate in architecture reviews, code reviews, and technical planning sessions
  • Maintain technical documentation and operational procedures


What You'll Bring

  • Bachelor's Degree in Computer Science or a technical or business field with a minimum of 4 years of related experience is required. Equivalent work experience may be considered in lieu of degree.
  • Advanced knowledge of a variety of the Information Technology concepts, practices and procedures.
  • Ability to design scalable, secure, and efficient technical solutions. Ability to translate user needs into technical solutions/specifications.
  • Ability to change priorities quickly, confront issues directly and work well as part of a team.
  • Excellent communication skills with ability to work effectively with all levels of staff and management.
  • Ability to develop and maintain good interpersonal relationships; work collaboratively within a team environment.
  • Ability to change priorities quickly, confront issues directly and work well as part of a team


Total Rewards Package

  • Salary: $85,000-$116,000 and may also include annual incentives and performance bonuses. The base salary range is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location.
  • Health & Wellness: Multiple medical plan options, dental & vision coverage, life insurance, long- and short-term disability, and optional supplemental plans (critical illness, accident, hospital indemnity, dependent life).
  • Retirement: 401(k) with employer match.
  • Paid Time Off: Up to 3 weeks of vacation, 8 sick days, and 13 paid holidays annually.
  • Extra Perks: Lifestyle spending account, employer paid mental health support, education reimbursement, professional development opportunities, adoption assistance, parental leave, and employee assistance programs.


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