AI Full-stack engineer
Posted Today by micro1
Negotiable
Undetermined
Remote
EMEA
Summary: Join a dynamic team as an AI Full-stack Engineer, responsible for architecting and delivering innovative AI-driven applications. This remote role involves collaborating with technologists and stakeholders to create transformative solutions. The position requires end-to-end responsibility for application development, integrating AI and machine learning models into full-stack solutions.
Key Responsibilities:
- Design, develop, and maintain scalable web applications using React.js, Node.js, and Python frameworks (FastAPI, Flask, or Django).
- Integrate AI and machine learning models into full-stack solutions, ensuring seamless performance and maintainability.
- Collaborate cross-functionally to define, design, and implement features based on business and user requirements.
- Write clean, efficient, and well-documented code while adhering to best practices in software engineering.
- Optimize application performance and troubleshoot issues across the stack.
- Contribute to architectural decisions and participate in code reviews to ensure code quality and security standards.
- Deliver clear and effective written and verbal communication within a distributed team environment.
Key Skills:
- Proven experience with React.js and Node.js in production environments.
- Strong proficiency in Python, with hands-on expertise in FastAPI, Flask, or Django.
- Demonstrated ability to work across the full stack, integrating front-end and back-end systems.
- Solid understanding of RESTful APIs, web services, and cloud deployment strategies.
- Exceptional written and verbal communication skills, with an emphasis on clarity and collaboration.
- Ability to work independently in a remote, fast-paced setting while managing multiple priorities.
- Track record of delivering high-quality, maintainable solutions in agile teams.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Description
Job Title: AI Full-stack Engineer
Job Type: Full-time
Location: Remote
Job Summary: Join our customer's team as an AI Full-stack Engineer, where you'll architect and deliver innovative AI-driven applications with end-to-end responsibility. Work remotely in a dynamic environment, collaborating with passionate technologists and stakeholders to bring transformative solutions to life.
Key Responsibilities:
- Design, develop, and maintain scalable web applications using React.js, Node.js, and Python frameworks (FastAPI, Flask, or Django).
- Integrate AI and machine learning models into full-stack solutions, ensuring seamless performance and maintainability.
- Collaborate cross-functionally to define, design, and implement features based on business and user requirements.
- Write clean, efficient, and well-documented code while adhering to best practices in software engineering.
- Optimize application performance and troubleshoot issues across the stack.
- Contribute to architectural decisions and participate in code reviews to ensure code quality and security standards.
- Deliver clear and effective written and verbal communication within a distributed team environment.
Required Skills and Qualifications:
- Proven experience with React.js and Node.js in production environments.
- Strong proficiency in Python, with hands-on expertise in FastAPI, Flask, or Django.
- Demonstrated ability to work across the full stack, integrating front-end and back-end systems.
- Solid understanding of RESTful APIs, web services, and cloud deployment strategies.
- Exceptional written and verbal communication skills, with an emphasis on clarity and collaboration.
- Ability to work independently in a remote, fast-paced setting while managing multiple priorities.
- Track record of delivering high-quality, maintainable solutions in agile teams.
Preferred Qualifications:
- Experience deploying AI/ML models in production environments.
- Familiarity with containerization technologies like Docker and cloud platforms (AWS, Azure, GCP).
- Background in designing secure, scalable web architectures for AI-powered products.