Lead AI Engineer

Grid Dynamics; Hyderabad, Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Medical insurance

Sports

Flexible schedule

Professional development

Corporate events

Well-equipped office

Job summary

Grid Dynamics seeks an experienced Lead Engineer to architect and drive cutting-edge AI solutions, including Generative AI and Agentic AI. You’ll lead a team, define architecture, and work hands-on to deliver production-grade systems for enterprise needs.

You will mentor engineers, collaborate with product and stakeholders, and stay at the forefront of AI trends while balancing innovation with operational reliability.

Qualifications

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

Responsibilities

• Lead AI projects from concept to production, architect solutions and hands-on with the team.
• Set technical direction, establish best practices for engineering teams, and mentor other engineers.
• Collaborate with cross-functional teams to understand strategic needs and deliver AI solutions.
• Bridge business/product stakeholders and the engineering team; communicate complex tech to non-technical stakeholders.
• Stay up-to-date with AI trends and balance innovation with operational pragmatism.

Skills

AI/ML systems

Team leadership

Python

LLMs & prompt engineering

Cloud platforms

Agile

Agentic AI

Communication

Job description

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.

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

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office