Full Stack AI Engineer Python
Eton Technologies Private Limited
IT Services and IT Consulting · 51-200 employees
About the role
Design, develop, and maintain scalable full-stack web applications using ReactJS and Python/FastAPI. Integrate AI technologies such as LLMs, RAG pipelines, and AI agents into robust backend services.
What they look for
Requirements
Requires 4+ years of experience in full-stack development with strong proficiency in Python, ReactJS, and PostgreSQL. Candidates must have hands-on experience with cloud deployments and modern AI/LLM integration.
Full description
This is a remote position.
Full Stack AI Engineer
Experience: 4+ Years
Location: Remote
Employment Type: Full-Time
About the Role
Eton Technologies is looking for a Full Stack AI Engineer with 4+ years of experience to design and develop scalable web applications and AI-powered solutions. The ideal candidate should have strong hands-on experience in ReactJS, Python/FastAPI, PostgreSQL, APIs, cloud deployments, and modern AI/LLM technologies.
Key Responsibilities
- Design, develop, and maintain scalable full-stack web applications.
- Build responsive and user-friendly front-end applications using ReactJS.
- Develop robust backend services and REST APIs using Python and FastAPI.
- Design and optimize PostgreSQL databases, schemas, and queries.
- Integrate LLMs, RAG pipelines, AI agents, and other AI-powered features into applications.
- Develop and integrate third-party and internal APIs.
- Deploy and manage applications in cloud environments.
- Implement scalable, secure, and reliable application architectures.
- Collaborate with cross-functional teams to understand requirements and deliver solutions.
- Follow best practices for testing, code quality, security, and CI/CD.
Requirements
Key Responsibilities
- Design, develop, and maintain scalable full-stack web applications.
- Build responsive and user-friendly front-end applications using ReactJS.
- Develop robust backend services and REST APIs using Python and FastAPI.
- Design and optimize PostgreSQL databases, schemas, and queries.
- Integrate LLMs, RAG pipelines, AI agents, and other AI-powered features into applications.
- Develop and integrate third-party and internal APIs.
- Deploy and manage applications in cloud environments.
- Implement scalable, secure, and reliable application architectures.
- Collaborate with cross-functional teams to understand requirements and deliver solutions.
- Follow best practices for testing, code quality, security, and CI/CD.
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