ai engineer for generative and agentic AI

Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services. Founded in 2006, the company is headquartered in Silicon Valley and has offices across the Americas, Europe, and India.

• Lead software development projects end-to-end, defining AI system architecture and contributing hands-on to implementation with the team
• Set technical direction, establish engineering best practices, and mentor engineers
• Partner with business and product stakeholders to align technical strategy with strategic goals and bridge technical and non-technical teams
• Deliver enterprise AI/ML solutions from proof of concept to production, ensuring continuous improvement, system reliability, and long-term support
• Track AI industry trends and integrate emerging technologies such as Agentic AI, custom guardrails, and fine-tuning while maintaining operational pragmatism

• 5+ Years of professional experience developing and scaling production-grade AI/ML systems
• 2+ Years of proven team lead experience in Agile engineering environments
• Advanced proficiency in Python and its AI/ML, web services, and data engineering ecosystem
• Expertise in open- and closed-source LLMs, prompt engineering, RAG, Agentic AI, vector and hybrid search, document processing, guardrails, LLM evaluation, and monitoring/observability
• Solid experience with at least one major cloud platform (GCP, AWS, or Azure) and associated managed ML services such as Vertex AI or SageMaker
• Outstanding verbal and written English communication skills and experience leading client and stakeholder discussions
• Будет плюсом: Full-stack experience across frontend, backend, data engineering, cloud infrastructure, and CI/CD automation; hands-on experience with PyTorch, Hugging Face, NLP, or Computer Vision

• Flexible schedule
• Benefits package including medical insurance and sports
• Corporate social events
• Professional development opportunities
• Well-equipped office