AI Engineer

Location: Vadodara, India

Department: Engineering

Experience: 2-5 Years

• Designing, building, and integrating AI models with a focus on scalability, efficiency, and adaptability.
• Supporting MLOps practices to help models move from research to reliable production systems.
• Handling key parts of data preparation: cleaning, preprocessing, transformation, and validation.
• Writing maintainable, high-quality code with reusability in mind.
• Building APIs, pipelines, and prototypes that make AI solutions tangible and useful.
• Collaborating with AI engineers, developers, and product owners to turn ideas into working systems.
• Taking initiative in projects, contributing ideas, driving small experiments, and helping shape how we build solutions.
• Staying current with the fast-moving AI ecosystem, GenAI and beyond, and applying approaches that fit the problem.
• Use AI Coding tools like Claude Code to write code and focus on higher level tasks.

• Solid foundation in AI/ML, with hands-on exposure to developing, integrating, and evaluating GenAI models.
• Familiarity with multiple AI domains such as NLP, computer vision, recommendation systems, classical ML.
• Experience with one or more ML/DL frameworks: PyTorch, TensorFlow, or SciKit-learn.
• Exposure to agentic AI systems (frameworks like LangChain, LlamaIndex, CrewAI, Agno) and evaluation of GenAI systems.
• Strong data handling skills (exploration, cleaning, preprocessing).
• Ability to prototype quickly and build simple APIs to demonstrate solutions.
• Problem-solving mindset and communication skills, you should be able to explain not just how something works but also why it matters.

• Experience applying AI to real-world projects (academic, internship, or professional).
• Curiosity and adaptability to explore new tools, frameworks, and problem domains.