Artificial Intelligence Engineer

📋 Description

• Build client AI solutions and run them in production.
• Design agentic/generative AI systems and multi-agent workflows.
• Integrate AI solutions into client enterprise systems.
• Own deployment and running path including CI/CD.
• Own production run-state: monitoring, evaluation, drift, retraining.
• Define SLAs and production standards for client services.

🎯 Requirements

• 5–10 years in AI/ML/software/data engineering or related.
• Hands-on across full production lifecycle (build to operation).
• Experience explaining AI solutions to non-technical stakeholders.
• Expert Python skills; experience with frontier models and APIs.
• Experience with deployment, monitoring, and governance of AI systems.

🎁 Benefits

• Opportunity to work with a growing Data & AI practice.
• Ownership of solution and production run-state.
• Mentorship and career growth in a fast-scaling team.
• Hybrid work model with global collaboration.
• Equal-opportunity employer committing to inclusive hiring.
• Vendor-agnostic approach to client problems.