Artificial Intelligence Engineer

Company Description AgenticOrbitX helps organizations automate a significant portion of their workflows using AI, allowing them to save time, reduce operational costs, and scale more efficiently. By embedding AI-powered automation into day-to-day business processes, the company enables teams to focus on growth, innovation, and strategic initiatives. AgenticOrbitX delivers solutions ranging from workflow automation to advanced AI-driven business tools designed to make operations smarter and faster. The company’s mission is to make businesses future-ready through practical, impact-focused automation and strong collaboration with its clients. Applicants will join a team committed to building reliable AI systems that drive measurable results for modern businesses.
Role Description As an Artificial Intelligence Engineer at AgenticOrbitX, you will design, build, and optimize AI models and systems that power workflow automation and intelligent business solutions. You will work closely with product, engineering, and business stakeholders to understand requirements, translate them into technical designs, and implement end-to-end AI pipelines. Day-to-day responsibilities include developing and training machine learning and neural network models, implementing NLP-based solutions, integrating AI components into production software, and monitoring model performance to ensure reliability and scalability. You will also participate in code reviews, contribute to architectural decisions, and document your work to support maintainability and knowledge sharing. This is a full-time, on-site role based in Mumbai, requiring close collaboration with cross-functional teams in a fast-paced environment.
Qualifications
Strong foundation in Computer Science and Software Development, including data structures, algorithms, and clean coding practices.
Experience with Pattern Recognition and Neural Networks, including model design, training, evaluation, and optimization.
Hands-on expertise in Natural Language Processing (NLP), such as text classification, information extraction, and conversational AI.
Proficiency in AI and ML frameworks and languages (e.g., Python, PyTorch, TensorFlow, scikit-learn) and experience with version control tools.
Familiarity with deploying models to production, working with APIs, and integrating AI solutions into existing software systems.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field (or equivalent practical experience).
Ability to analyze complex problems, design scalable solutions, and communicate technical concepts clearly to diverse stakeholders.
Experience with cloud platforms (e.g., AWS, GCP, Azure), MLOps practices, and prior work on automation or business-focused AI use cases is an advantage.

Work arrangement
No