AI Engineer/ Developer

Bangalore, KA, IN, 560048

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.