Fullstack AI Engineer

Position Overview

We are seeking a highly skilled Full Stack AI Engineer to join our team. The ideal candidate has strong expertise in AI/ML model development, deployment, and integration with scalable applications. You will work across the stack — from model training and optimization to building APIs, web services, and front-end components — to deliver AI solutions in production.

Key ResponsibilitiesAI/ML Development

·      Design, build, train, and fine-tune AI/ML models (using frameworks like TensorFlow, PyTorch, or Scikit-learn).

·      Design build application that leverage LLMs, VLMs, ComputerVision, ....

·      Optimize models for performance, scalability, and cost efficiency.

·      Implement MLOps best practices for continuous integration, deployment, and monitoring.

Backend Engineering

·      Build APIs and microservices to serve AI models in production (FastAPI, Flask, Node.js, etc.).

·      Manage data pipelines, ETL processes, and integrations with databases (SQL, NoSQL, Data Lakes).

·      Ensure system security, reliability, and scalability in cloud or hybrid environments.

Frontend Engineering

·      Develop intuitive dashboards, tools, and user interfaces to interact with AI systems.

·      Work with React, Angular, or Vue.js for responsive web applications.

·      Collaborate with design/product teams to ensure user-friendly AI-driven features.

DevOps / Cloud

·      Deploy and manage AI systems on cloud platforms (AWS, Azure, GCP).

·      Use containerization (Docker, Kubernetes) for scalable model serving.

·      Automate workflows and ensure smooth integration of AI components with enterprise systems.

Collaboration

·      Work closely with Data Scientists, Product Managers, and Software Engineers to deliver end-to-end AI solutions.

·      Stay updated with the latest AI/ML and full-stack development trends and apply them effectively.

Qualifications

·      Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.

·      3+ years of experience in software engineering, with at least 2 years in AI/ML-related projects.

·      Proficiency in Python and one additional programming language (JavaScript/TypeScript, Java, C++).

·      Strong experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).

·      Experience in backend frameworks (FastAPI, Flask, Django, Node.js).

·      Solid knowledge of frontend frameworks (React, Angular, or Vue.js).

·      Hands-on experience with cloud services (AWS SageMaker, GCP Vertex AI, Azure ML) and DevOps tools (Docker, Kubernetes, CI/CD).

·      Knowledge of databases: SQL & NoSQL.

·      Familiarity with MLOps concepts (model monitoring, logging, retraining pipelines).

·      Strong problem-solving, communication, and teamwork skills.