Description

Required Skills:

• Strong Python development experience.
• Hands-on experience building and deploying production-grade AI/LLM or Agentic AI solutions.
• Experience evaluating AI systems and maintaining quality for non-deterministic applications.
• Strong software engineering fundamentals with production deployment experience.
• Systems-level thinking with the ability to build reusable platform capabilities rather than single-product solutions.
• Enablement mindset with experience supporting engineering teams through common patterns, tooling, and best practices.

Preferred Skills:

• Experience with Agentic AI or multi-agent workflows.
• Intelligent Document Processing (IDP) experience.
• Background in AI platform engineering, AI enablement, or AI architecture.
• Experience with .NET, React, or Angular is a plus.
• Background as a Data Scientist with strong engineering skills or a Full Stack Engineer with AI experience.

Key Responsibilities:

• Build reusable AI platform components, tooling, and guardrails for multiple product teams.
• Define AI governance, evaluation frameworks, and quality standards.
• Enable engineering teams through shared AI capabilities, documentation, and training.
• Partner with architects to standardize AI development practices across the organization.
• Support the rollout of SDLC and AI governance processes while driving platform adoption

Key Skills

Education

Bachelor's degree