Lead AI Engineer

We are seeking an experienced Lead Engineer to drive the development and implementation of cutting-edge AI solutions (Generative AI, Agentic AI). This role combines hands-on technical leadership with strategic vision, requiring someone who can architect scalable AI systems, mentor engineering teams, and collaborate effectively with stakeholders to deliver innovative solutions from concept to production.ResponsibilitiesLead 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 engineersCollaborate closely with cross-functional teams and stakeholders to understand strategic needs, align technical efforts and deliver highly effective AI solutionsActs as the bridge between business/product stakeholders and the engineering team, communicate complex technical concepts to to non-technical stakeholdersStay 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 pragmatismRequirementsOver 5 years of professional experience developing production-grade AI/ML systemsProven team lead experience (2+ years), familiar with Agile methodologiesProficient in Python programming and its ecosystem, particularly for web, AI/ML and data engineeringDeep 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 evaluationExperience in delivering AI/ML projects from POC to production with continuous improvements and supportStrong 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 teamsNice to havePractical experience in modern end-to-end projects beyond AI/ML - frontend, backend, data engineering, cloud infrastructure, CI/CD, monitoring and observabilityHands-on experience with Deep Learning (NLP, Computer Vision, etc.) and popular frameworks such as PyTorch and HuggingfaceWe offerOpportunity to work on bleeding-edge projectsWork with a highly motivated and dedicated teamCompetitive salaryFlexible scheduleProfessional development opportunitiesAbout UsGrid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.