Full Stack Engineer (React and Python)
Role details
Job location
Tech stack
Job description
Lead development of a document-centric web interface integrating Vertex AI Search. Build React frontends and Python backends, implement document processing, vector search/RAG pipelines, optimize performance and scalability, write tests, and collaborate with cloud and architecture teams to deliver an enterprise-grade AI platform., * 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., As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools-including LinkedIn Recruiter's Hiring Assistant and interview transcription technologies-to assist with sourcing, role analysis, and capturing interview highlights.
These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team., Lead and grow Engineering and DevOps as a hands-on VP: own roadmap and SDLC, set engineering standards, act as technical architect for APIs and database modernization, manage CI/CD and cloud infrastructure, drive security/SOC 2 readiness, recruit and mentor teams, and coordinate cross-functional delivery. Top Skills: AWSCi/CdDockerGCPInfrastructure-As-CodeKubernetesNosql DatabasesPythonRackspace CloudRelational DatabasesRest ApiSoc 2, Optum
Requirements
- 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 & conditions
Remote California, USA 105K-288K Annually Senior level 105K-288K Annually Senior level Fintech * Financial Services Lead end-to-end product design across web and mobile: ideation, UX/UI, prototyping, usability testing, and design systems. Collaborate with cross-functional teams, mentor designers, and ensure high-quality implementation and user-centered solutions. DevHub, 12 Hours Ago In-Office or Remote 130K-163K Annually Senior level 130K-163K Annually Senior level Artificial Intelligence * Big Data * Healthtech * Information Technology * Machine Learning * Software * Analytics Research and develop LLM and NLP solutions (including agentic AI) for healthcare, collaborate with RUAI and engineering teams, build MLOps pipelines, document code and models, publish/patent novel methods, and ensure solutions comply with company AI policies. Top Skills: AWSAzure MlAzure OpenaiDatabricksGCPLlmNlpPrompt EngineeringPythonRelational DatabasesSnowflakeText ClassificationText EmbeddingTransformer Architectures
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