Generative AI Engineer

Equinox Analytics Pvt Ltd.

About the Role

The Generative AI Engineer will design, build, and optimize AI models and applications that leverage large language models and other generative architectures to solve business problems. This is a full-time, on-site role based in Pune City.

Key Responsibilities

• Design, build, and optimize AI models and applications leveraging large language models and other generative architectures.
• Develop and fine-tune models.
• Integrate models into production systems.
• Collaborate with product and data teams to define use cases and deliver robust solutions.
• Write clean, efficient code.
• Conduct experiments.
• Evaluate model performance.
• Ensure systems meet reliability, security, and ethical AI standards.
• Participate in design reviews, sprint planning, and technical discussions.

Requirements & Tech Stack

• Strong programming skills in languages commonly used for AI/ML engineering (such as Python).
• Experience building scalable, production-grade software.
• Solid understanding of machine learning fundamentals.
• Experience with deep learning frameworks (such as PyTorch or TensorFlow).
• Experience working with generative models or large language models.
• Experience with data processing, model evaluation, and experimentation workflows.
• Experience handling structured and unstructured data.
• Experience with relevant libraries and tools.
• Knowledge of cloud platforms or MLOps tools for deploying, monitoring, and maintaining AI services in production environments.
• Ability to translate business requirements into technical solutions.
• Ability to collaborate with multidisciplinary teams.
• Ability to document designs and outcomes clearly.
• Familiarity with responsible AI practices, including model fairness, security, reliability, and privacy considerations.
• Prior experience in an AI/ML engineering or applied research role.
• Contributions to open-source projects or published work in AI are a plus.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field, or equivalent practical experience.