About The Position

Are you passionate about shaping the future of AI-powered products? We are looking for a Senior / Principal AI / ML Engineer to join our team and lead the standardization and scaling of AI implementation across a cutting-edge platform. This role offers the opportunity to work at the intersection of AI, data, and product engineering, driving innovation and delivering production-ready solutions. The position can be remote, offering flexibility while collaborating with a highly skilled, international team. We at Sigma Software value innovation, ownership, and engineering excellence, providing an environment where your expertise will directly influence strategic AI adoption. Our customer is a leading technology-driven company with a strong focus on innovation and digital transformation. They are building advanced AI capabilities into their product ecosystem to enhance automation, scalability, and user experience. Operating in a fast-paced environment, they encourage cutting-edge engineering practices and practical AI adoption.

Requirements

  • 6+ years of experience in AI/ML engineering, or related fields
  • Strong experience with AWS
  • Solid experience with SQL
  • Experience with Anthropic ecosystem (Claude, LLM-based tools)
  • Proven track record in custom AI / LLM skills development
  • Hands-on experience with spec-driven development
  • Experience with agentic programming / agent-based systems
  • Ability to design scalable, production-ready AI solutions

Nice To Haves

  • Experience with DBT
  • Experience with Amazon Redshift
  • Experience building semantic layers / data modelling for AI

Responsibilities

  • Lead the design and implementation of scalable AI-powered solutions across the product ecosystem
  • Automate manual workflows using AI-driven approaches, ensuring measurable efficiency gains
  • Architect and build semantic data models to support diverse AI use cases
  • Develop agent-based architectures for intelligent task automation
  • Build and maintain custom AI skills and capabilities tailored to product needs
  • Apply spec-driven development practices to ensure consistency and maintainability of AI features
  • Define and enforce best practices for AI integration and scalability
  • Collaborate closely with product and engineering leadership on AI strategy, roadmap, and execution
  • Evaluate emerging AI technologies and recommend adoption strategies

Benefits

  • competitive benefits
  • professional growth opportunities
  • the chance to work on impactful projects that push the boundaries of AI technology
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