Develop and implement end-to-end AI-driven applications, integrating generative AI models
Build and maintain scalable front-end interfaces using modern web frameworks (React, Angular, Vue.js)
Design and develop robust back-end services using Node.js, Python, or other back-end technologies
Integrate large language models (LLMs) and multimodal AI models into applications
Optimize application performance, ensuring efficiency in AI inference and API response times
Develop and maintain RESTful and GraphQL APIs for AI model interaction
Deploy AI applications on cloud platforms (AWS, GCP, Azure) using containerization and serverless technologies
Ensure security, scalability, and compliance of AI-driven applications
Stay up to date with the latest advancements in Generative/Agentic4 AI, web development, and cloud technologies

Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
4+ years of experience in full-stack development, with a track record of building scalable, production-ready systems
Strong proficiency in JavaScript/TypeScript, Python, and modern front-end frameworks (React, Vue, or Angular)
Experience with agentic frameworks such as LangChain, AutoGen or CrewAI
Hands-on experience with integrating AI models via APIs (OpenAI, Hugging Face, etc.)
Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) techniques
Experience with cloud platforms (e.g., AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
Strong understanding of database technologies (SQL, NoSQL, Firebase, MongoDB, PostgreSQL)
Ability to design scalable and maintainable architectures for AI-driven applications
Capable of working closely with cross-functional teams to deliver cohesive, end-to-end functionality
Knowledge of message queues (e.g., RabbitMQ, Kafka) and caching systems (e.g., Redis)

Fullstack AI Engineer

Key skills