Overview

This is a hands-on AI engineering and technical leadership role. You will work directly on multiple AI products, taking ownership of the technical development of AI capabilities from experimentation and prototyping through production.

Responsibilities

• Design, develop, and deploy AI/ML capabilities for B2B SaaS products.
• Write production-quality code for AI and machine learning applications.
• Work extensively with Computer Vision and Deep Learning, including developing and optimizing models for real-world product use cases.
• Build and integrate solutions using Machine Learning, Generative AI, LLMs, and AI technologies.
• Research, experiment, prototype, and evaluate new AI approaches to solve challenging product problems.
• Develop AI workflows and features that can be integrated into scalable SaaS products.
• Translate complex business and product requirements into practical technical and AI solutions.
• Evaluate models, architectures, frameworks, and technologies and make appropriate technical recommendations.
• Optimize AI systems for accuracy, performance, scalability, and production readiness.
• Work with APIs, data pipelines, model integrations, and other components required to take AI capabilities into production.
• Identify technical challenges proactively and independently work toward solutions.
• Contribute to the technical roadmap and architecture of AI products.
• Collaborate with product, engineering, and other teams to turn AI concepts into usable product features.
• Stay current with developments in AI, deep learning, computer vision, LLMs, and emerging AI technologies.

Qualifications

• 4–5 years of strong hands-on experience in AI/ML engineering or a closely related technical role.
• Excellent programming and software development skills, particularly in Python.
• Strong expertise in Computer Vision and Deep Learning.
• Strong understanding of Machine Learning, AI, Generative AI, and LLM technologies.
• Experience building and deploying AI capabilities in SaaS products, preferably B2B or enterprise products.
• Experience taking AI solutions from research/prototype to production.
• Strong understanding of machine learning algorithms, neural networks, model training, evaluation, and optimization.
• Ability to independently investigate complex technical problems and develop effective solutions.
• Strong understanding of software architecture and building scalable AI applications.
• Experience working with modern AI/ML frameworks and libraries.
• Ability to understand product requirements and translate them into technically viable AI solutions.
• Strong analytical and problem-solving abilities.
• A self-driven mindset with the ability to work independently without extensive supervision.
• Strong communication skills and the ability to explain technical decisions clearly.
• Loves coding and building AI products.
• Is comfortable taking ownership of technically challenging problems.
• Can work independently and make decisions without constant direction.
• Thinks beyond individual models or code and understands how AI fits into a real product.
• Is curious, highly focused, and continuously explores better ways to solve problems.
• Can balance hands-on engineering with technical strategy and product thinking.
• Takes responsibility for outcomes rather than simply completing assigned tasks.

Education

• A strong academic background in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, or a related technical discipline is preferred.
• Advanced education or specialized coursework in AI/ML, Deep Learning, Computer Vision, or related fields will be an advantage.