The Full Stack Engineer will collaborate with a small product team to deliver groundbreaking AI products to market. Reporting to the Head of Engineering, the role involves solving complex problems to build a natural language interface for SMBs.
Remote Flask Jobs (20)
Tags = flask
Participants will engage in a self-study program to learn data science and generative AI across three levels of difficulty. They will complete curated tasks and real-life projects under the supervision of industry mentors.
Design, develop, test, and maintain technical solutions to solve complex business problems. Collaborate with customers and architects to implement solutions and present them to non-technical stakeholders.
Build production-ready Python backend services to extract, summarize, and structure information from unstructured data like emails and documents. Develop and optimize retrieval systems using RAG and hybrid search to automate property management workflows.
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Build and own an internal Data Migration Platform to extract, validate, and import data from legacy CRM systems into the core platform. Design automated workflows for data cleaning, mapping, and normalization to reduce manual migration effort.
Design and write clean, scalable code while participating in the full development lifecycle from requirement analysis to deployment. Collaborate with product managers and operations teams to deliver high-availability solutions using agile methodologies.
The AI Architect will be responsible for architecting and maintaining Python-based services using FastAPI for internal and customer-facing AI use cases, including building secure API endpoints that interface with LLMs and vector stores. Key duties involve implementing orchestration logic for agent workflows, optimizing performance, and collaborating across engineering teams to ensure system reliability and observability.
The Senior Software Engineer will take ownership of a customer-facing web platform, focusing on stabilizing, improving, and evolving it for long-term use. This includes designing and maintaining backend services, developing REST APIs, and collaborating with stakeholders to translate business needs into technical solutions.
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As a Data Scientist, you will build production-grade ML systems that drive real-world outcomes such as energy efficiency and predictive maintenance. You will collaborate with engineers and product managers to translate raw sensor data into reliable models.
You will be joining the Infrastructure Team at Close, building and maintaining the platform that runs all Close systems. This includes working with large databases, telemetry systems, and Kubernetes clusters.
You will define the strategy and roadmap for MongoDB's Python driver and integrations, ensuring a seamless experience for Python developers. Collaborating with engineering and community teams, you will shape how developers build with MongoDB.
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