Full Stack Engineer

Position:
New Full Stack Engineer (React and Python)

Company:
66degrees

Location:
United States (Remote)

Employment type:
Contract To Hire

Short Summary:
We are looking for an experienced Fullstack Engineer to lead the development of a modern, document-centric web interface integrated with Google Cloud Vertex AI Search. This role combines complex Python backend engineering, modern React frontend design, and AI/search platform integration to deliver scalable, business-critical software.

Responsibilities:
- Frontend Development: Architect and build clean, responsive user interfaces in React tailored for complex document handling, data extraction, and interactive workflows.
- Backend Development & APIs: Write performant, maintainable Python services and RESTful APIs to connect user interfaces with underlying search engines and data pipelines.
- Search & AI Integration: Connect application workflows to Vertex AI Search, optimizing document indexing, query retrieval, and agentic AI prompt/response pipelines.
- Document Processing Systems: Implement robust solutions for uploading, parsing, rendering, and auto-generating enterprise documents within the platform.
- Performance & Scalability: Optimize state management, initial load times, and API latency for seamless real-time interactions with search indices.
- Code Quality & Testing: Write comprehensive unit and integration tests, participate in peer code reviews, and adhere to strict enterprise security standards.
- Technical Collaboration: Work alongside cloud engineers, technical architects, and leadership to refine requirements and maintain steady project delivery.

Requirement:
- Experience: 5+ years of software engineering experience delivering end-to-end web applications in production environments.
- Core Tech Stack: Proven mastery of Python (e.g., FastAPI, Flask, Django) and modern React (hooks, state management, asynchronous data flow).
- Search & RAG Concepts: Practical experience integrating vector search or enterprise search platforms (e.g., Google Vertex AI Search, Elasticsearch, Pinecone).
- Document Handling: Exposure to document parsing, unstructured data pipelines, or automated document creation workflows.
- Cloud & Security: Familiarity with cloud ecosystem fundamentals (preferably Google Cloud Platform) and secure data-handling practices.
- Availability & Time Zone: Ability to work primary business hours aligned with Central, Mountain, or Eastern time zones.

Benefits:
- Opportunity to work with cutting-edge technology in AI and cloud solutions.
- Potential conversion to a full-time role after the contract period.
- Collaborative and innovative work environment.