Senior / Principal AI / ML Engineer (Product AI Enablement)

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.

Why join us? We offer competitive benefits, professional growth opportunities, and the chance to work on impactful projects that push the boundaries of AI technology.

CUSTOMER

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.

• 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

• 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

WILL BE A PLUS:

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

PERSONAL PROFILE:

• Strong ownership and ability to work independently
• Product-oriented mindset with focus on practical AI application
• Ability to translate business needs into scalable AI solutions
• Structured and engineering-driven approach to AI implementation
• Leadership mindset with ability to mentor and influence technical direction