Lead AI Engineer

Uster Technologies; Coimbatore District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Uster Technologies in India seeks a Lead AI Engineer to drive technical leadership for AI initiatives across multiple domains. The role focuses on translating business and product requirements into scalable AI solutions and coordinating across AI data scientists, engineers, and systems teams.

The candidate will design, deploy, and industrialize AI applications, ensure code quality, and promote best practices while mentoring junior engineers.

Qualifications

• Master or PhD in Computer Science, Software Engineering, or related field
• Experience delivering AI solutions from prototyping to production deployment
• Experience mentoring engineers and providing technical guidance

Responsibilities

• Lead the technical execution of AI initiatives and provide day-to-day technical leadership across AI projects
• Translate requirements into implementation plans and work packages
• Coordinate activities across AI Data Scientists, AI Engineers, AI Data Engineers, and AI Systems Engineers
• Drive design, development, evaluation, deployment, and industrialization of AI solutions
• Review solution designs, software architecture, implementation approaches, and code quality
• Establish engineering best practices, standards and development processes
• Mentor engineers and provide technical guidance across the AI organization
• Facilitate technical alignment meetings, design reviews, and knowledge sharing

Skills

Python programming

AI solution development

PyTorch/TensorFlow/OpenCV

LLMs/RAG/AI architectures

Cloud/edge deployment

Code review & best practices

Analytical problem solving

Education

Master's or PhD in CS/SE

Tools

Hugging Face

Job description

Lead AI Engineer

Must Have

• Education: Master or PhD degree in Computer Science, Software Engineering, or a related field
• Experience:
  • 10+ years of experience as an AI Engineer, Machine Learning Engineer, Software Engineer, Data Scientist, or a related role
  • Proven experience delivering AI solutions from concept and prototyping through industrialization and production deployment
  • Experience leading technical initiatives and coordinating cross-functional engineering activities
  • Experience translating business and product requirements into implementation plans and technical solutions
  • Experience working across multiple AI domains such as computer vision, generative AI, large language models (LLMs), machine learning, or industrial AI
  • Experience collaborating with software engineering, systems engineering, product, and customer-facing teams
  • Experience mentoring engineers and providing technical guidance within development teams
• Skills
  • Strong programming skills, especially in Python
  • Strong understanding of software engineering, machine learning, and AI solution development
  • Experience with AI frameworks such as PyTorch, TensorFlow, OpenCV, Hugging Face, LangChain, or similar technologies
  • Experience designing and delivering production-grade AI systems and applications
  • Understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and modern AI architectures
  • Good understanding of software architecture, system integration, cloud and edge deployment concepts
  • Experience reviewing software designs, code quality, and engineering best practices
  • Strong analytical, problem-solving, and decision-making skills
• Leadership
  • Ability to provide technical leadership and coordinate engineering activities across multiple disciplines
  • Ability to break down complex objectives into actionable work packages and priorities
  • Ability to drive execution while balancing innovation, quality, and delivery timelines
  • Strong mentoring and coaching capabilities
• Communication: good verbal communication skills, with the ability to convey complex concepts.

Preferred attribute

• Visionary and innovative: ability to act pro-actively and creatively and propose groundbreaking solutions, curiosity for new technologies.
• Pragmatic: focus on solutions to be implemented in serial and industrialized products.
• Adaptable: comfortable working in a fast-paced, dynamic environment.
• Collaborative: Enjoys working across disciplines, functions, and international teams
• Business-oriented: Understands how AI can address customer challenges and deliver measurable impact

Your tasks

• Lead the technical execution of AI initiatives and provide day-to-day technical leadership across AI projects
• Translate business, product, and customer requirements into implementation plans and technical work packages
• Coordinate activities across AI Data Scientists, AI Engineers, AI Data Engineers, and AI Systems Engineers
• Drive the design, development, evaluation, deployment, and industrialization of AI solutions
• Review solution designs, software architecture, implementation approaches, and code quality
• Establish and promote engineering best practices, technical standards, and development processes
• Resolve technical dependencies, implementation challenges, and cross-functional integration issues
• Collaborate closely with software, systems, product, and engineering teams to integrate AI capabilities into products and digital platforms
• Support architectural decision-making and ensure consistency across AI solutions
• Mentor engineers and provide technical guidance across the AI organization
• Facilitate technical alignment meetings, design reviews, and technical knowledge sharing
• Identify technical risks and elevate strategic decisions and critical issues when necessary
• Support innovation initiatives, customer engagements, and pre-sales activities when required

Selection process:

1st round: Online technical assessment

2nd round: Interview via Teams

3rd round: HR discussion