About the Role

We are seeking an experienced Senior AI Engineer to lead the design, development, and deployment of AI-driven applications and services. The ideal candidate will have strong expertise in Python for AI/ML development and TypeScript for scalable backend or frontend integration, bridging the gap between data science, machine learning engineering, and production-grade software systems.

You will work closely with product, research, and engineering teams to bring cutting-edge AI capabilities to life — from concept and experimentation to large-scale deployment.

Key Responsibilities

• Design, develop, and optimize AI/ML models, focusing on performance, scalability, and real-world deployment.
• Build and maintain robust data pipelines and model-serving APIs using Python (FastAPI, Flask, etc.) and TypeScript (Node.js, NestJS, or similar).
• Collaborate with data scientists to transition models from research to production, ensuring efficient integration and reliability.
• Implement AI-powered features in TypeScript-based applications, including web or backend systems.
• Conduct code reviews, performance optimization, and technical mentorship for junior engineers.
• Contribute to AI architecture decisions, ensuring best practices in software engineering, CI/CD, and security.
• Explore and evaluate new AI frameworks, tools, and libraries to enhance development workflows and capabilities.
• Partner with product managers and stakeholders to define AI project requirements and success metrics.

Qualifications

Required Skills & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in software engineering with 3+ years in AI/ML development.
• Strong proficiency in Python (TensorFlow, PyTorch, scikit-learn, pandas, FastAPI).
• Solid understanding of TypeScript / JavaScript (Node.js, React, or similar frameworks).
• Experience with machine learning model deployment, MLOps, and RESTful or GraphQL APIs.
• Proven ability to build scalable, maintainable systems integrating AI/ML components.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Strong understanding of data structures, algorithms, and software design patterns.

Preferred Skills

• Experience with vector databases, LLM fine-tuning, or prompt engineering.
• Knowledge of LangChain, OpenAI API, or similar frameworks.
• Exposure to frontend integration of AI features using TypeScript/React.
• Familiarity with data engineering (Airflow, dbt, Kafka, etc.).
• Experience with AI observability and monitoring tools.

What We Offer

• Competitive salary and performance-based bonuses
• Flexible working arrangements (remote or hybrid)
• Opportunity to work with cutting-edge AI technologies
• Collaborative, innovative, and fast-paced environment
• Professional development and continuous learning support