AI Engineer/ Developer
Listed on Ametek’s official careers site. Listed as of October 24, 2026. Check that it is still open and apply there.
Apply on Ametek’s careers site →Job description
The Engineer /Developer - AI is an early-career engineer who supports the design, development and testing of AI solutions for AMETEK India Engineering and its Business Units. The role suits a keen learner who adapts quickly to a new working environment, builds a solid understanding of AMETEK products and engineering workflows, and grows into independent delivery of assigned tasks.
Key Responsibilities
Development and Support Implement well-defined components in Python, such as data preparation, document-processing pipelines, RAG components, prompts, scripts and APIs. Support testing and evaluation of solutions, and document results, code and setup clearly. Learning and Adaptation Quickly learn the team’s tools, platforms, coding standards and engineering domain context.
Technology awareness
explore the latest AI tools and techniques and share useful findings with the team. Seek and act on feedback from reviews; use version control and team practices consistently. Collaboration and Compliance Work with the Technical Lead - AI and BU engineers to understand needs and support user testing and feedback. Ensure compliance with applicable AMETEK IT policies, security requirements and governance processes, including data-classification, export-control and customer-IP requirements.
Reporting Update the Technical Lead - AI on task progress at pre-defined intervals, and raise blockers early. Maintain clear records of test results and issues to support KPI and dashboard reporting.
Qualifications and Experience
Bachelor's or Master's degree in Computer Science, AI/ML or a related engineering discipline. 0 to 2 years of experience, including internships, academic or personal projects in AI/ML. Working proficiency in Python; basic understanding of machine learning and LLM concepts. Exposure to Generative AI or RAG through projects, coursework or self-learning is an advantage.
Core Skills
Technical Fundamentals Python programming ML and LLM fundamentals Prompting and basic RAG concepts Git and version control Basic APIs, data handling and testing Working Style Eagerness to learn and adapt quickly Receptive to feedback Structured, reliable and detail-oriented Clear written and verbal communication Teamwork and willingness to ask for help Preferred Profile: Genuinely curious about AI, technology and how products are built.
Learns fast, takes ownership of assigned tasks and follows through. Comfortable working in a multidisciplinary engineering team across locations.
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