We are looking for a highly motivated AI Engineer to join our team in Rajkot. In this role, you will bridge the gap between experimental AI research and ROI-driven enterprise solutions. Working closely with our engineering pods, you will build scalable SaaS platforms, train predictive models, integrate Large Language Models (LLMs), and develop robust backend microservices.

If you are a passionate maker eager to dive into end-to-end machine learning, automation pipelines, and cloud-native architecture, we want to help you build the future with us.

• End-to-End AI Development: Design, train, and deploy a variety of AI models, ranging from traditional machine learning (classification, regression, clustering) to deep learning and computer vision.

• Applied Generative AI: Integrate custom LLMs, build scalable Retrieval-Augmented Generation (RAG) pipelines, and utilize vector databases (Pinecone/Qdrant).

• Data Processing & Engineering: Clean, preprocess, and analyze complex datasets to ensure high-quality model training and accurate real-world inferences.

• Backend Development: Design and develop secure, resilient microservices to serve AI models using Python (FastAPI/Django) and Node.js.

• Workflow Automation: Configure and deploy dynamic business engines using modern automation tools like n8n.

• Database Management: Write optimized queries and manage data flows across PostgreSQL, MongoDB, and enterprise vector databases.

• Cloud & DevOps: Collaborate to containerize applications (Docker) and maintain CI/CD pipelines.

• Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (Recent graduates or final-year students welcome).

• AI/ML Foundation: Strong understanding of machine learning algorithms, statistical modeling, data structures, and OOP principles.

• Hands-On Experience: Demonstrable experience (via GitHub portfolios, academic projects, or internships) building ML models, working with data pipelines, and creating RESTful APIs.

• The "Maker" Mindset: A high degree of curiosity, rapid learning capabilities, and a proactive problem-solving attitude.

• Communication: Excellent English communication skills for documentation, team collaboration, and client updates.