Lead AI Engineer @ Grid Dynamics

Essential functions

• Lead software development projects from concept to production and beyond, define and design architecture of AI solutions and drive implementation (including hands-on work together with the team)
• Set technical direction, establish best practices for engineering teams, and mentor other engineers
• Collaborate closely with cross-functional teams and stakeholders to understand strategic needs, align technical efforts and deliver highly effective AI solutions
• Acts as the bridge between business/product stakeholders and the engineering team, communicate complex technical concepts to to non-technical stakeholders
• Stay up-to-date with latest AI industry trends and integrate emerging technologies to drive innovation and improve system performance, but at the same time balance innovation with operational pragmatism

Qualifications

• Overall 6 to 10 years of professional experience developing production-grade AI/ML systems
• Proven team lead experience (2+ years), familiar with Agile methodologies.
• 1+ year of hands-on experience delivering production-ready Agentic AI solutions
• Proficient in Python programming and its ecosystem, particularly for web, AI/ML and data engineering
• Deep expertise in LLMs: open/closed-source models, advanced prompt engineering techniques, RAG, Agentic AI, document processing, vector/hybrid search, guardrails, observability & monitoring, LLM fine-tuning and evaluation
• Experience in delivering AI/ML projects from POC to production with continuous improvements and support
• Strong expertise with at least one major cloud platform (GCP, AWS, or Azure) and related ML platforms (e.g. Vertex AI)
• Excellent communication and leadership skills with the ability to lead discussions with clients and other teams

Would be a plus

• Practical experience in modern end-to-end projects beyond AI/ML - frontend, backend, data engineering, cloud infrastructure, CI/CD, monitoring and observability
• Hands-on experience with Deep Learning (NLP, Computer Vision, etc.) and popular frameworks such as PyTorch and Hugging face.