- 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
Requirements
- Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience).
- 6+ 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).
Core Competencies
Demonstrates expertise in developing and implementing AI-driven applications, with strong capabilities in full-stack development, cloud deployment, and API integration. Proficient in modern web frameworks and back-end technologies, ensuring scalable and efficient application performance.
Highest-signal resume keywords
- Full-Stack Development
- AI Model Integration
- Cloud Deployment (AWS, GCP, Azure)
- JavaScript/TypeScript Proficiency
- RESTful and GraphQL API Development
ATS Optimization Keywords
Hard Skills
- JavaScript
- TypeScript
- Python
- React
- Vue.js
- Node.js
- Docker
- Kubernetes
- SQL
- NoSQL
Soft Skills
- Collaboration
- Problem-Solving
- Communication
Industry Keywords
- Generative AI
- Large Language Models
- Containerization
- CI/CD Pipelines
- Vector Databases
Tools & Technologies
- AWS
- GCP
- Azure
- Hugging Face
- OpenAI
- RabbitMQ
- Kafka
- Redis