Top Remote Python Developer + Engineer Jobs

Implement and optimize C++ core algorithms for machine learning, computer vision, and 3D/procedural modeling. Apply cutting-edge research, manage code with Git, deploy and test on cloud and Unix-based systems, and work with large-scale geospatial datasets to generate user-facing 3D content.

The AI/ML Engineer will develop and deploy AI solutions using Generative AI technologies, focusing on LLMs and frameworks like LangGraph and LangChain. Responsibilities include building APIs, deploying ML models on cloud platforms, optimizing solutions, and collaborating with stakeholders.

Lead the development and implementation of data architecture strategies, mentor a team to deliver solutions, and collaborate with stakeholders to enhance resources while ensuring project success and quality outcomes.

As a Senior Associate, the role involves designing data architecture, collaborating with stakeholders, and mentoring team members while ensuring data quality and implementing solutions using programming languages and cloud platforms.

Design and implement high-performance C++ systems for machine learning, computer vision, and 3D modeling. Apply research, optimize algorithms, manage source control with Git, deploy and test on cloud using Unix-based systems, and work with large-scale geospatial datasets to generate 3D content.

Lead the design and implementation of data architecture strategies within AI and ML, collaborating with stakeholders to enhance data solutions and ensure compliance with governance policies.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

Lead full‑stack development of AI infrastructure prototypes and production systems. Build backend Python services, integrate front-end apps with APIs, AD and OAuth, deploy serverless cloud solutions (AWS/Azure/GCP), write automated tests and documentation, and collaborate across teams to deliver generative-AI agents using foundation model APIs and agent frameworks.

Build and maintain Python tools for web scraping, automation, integrations (Airbnb, marketplaces), ad automation, chatbots (Chatwoot), workflow automation (Spiffworkflow), automated tests, and data analysis.

The Senior Full Stack Developer will design, develop, test, and debug software solutions, collaborating with teams and optimizing applications. Responsibilities include user interaction design, back-end functionality, and ensuring software scalability and security.

Develop chatbots using Google Dialogflow CX and Python; integrate LLM features and enhance bot functionality across cloud platforms, ensuring optimal performance and user experience.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

The role involves designing, developing, and deploying chatbots using Google Dialogflow and NLP techniques while integrating with various backend systems.

As a Google DialogFlow Engineer, you will design and develop chatbots, integrate them with backend systems, and utilize NLP and ML techniques for enhanced functionality.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Lead and code fullstack features for the EVV team, provide technical leadership and mentoring, design and execute automated tests, monitor and troubleshoot production, contribute to product technical roadmap, and leverage AI-assisted development tools.

Lead the design and development of scalable Python backend services and APIs on AWS, mentor engineers, and manage PostgreSQL databases in a healthcare technology environment.

Build, ship, and maintain full-stack applications using Python backends and React frontends. Collaborate with Product and Design to translate requirements, prototype features, integrate APIs, ensure observability, resilience, and security, and adopt AI-enabled workflows. Contribute reusable components, automated tests, CI/CD, containerized deployments, and cross-team technical standards.

Design, implement, and support scalable vehicle routing and scheduling optimizers using OR-Tools. Build batch and real-time modes, clustering and constraint models, data preprocessing pipelines, test harnesses, benchmarking, parallel processing, logging/metrics, CI/CD packaging, and integrate with the Mojo control system for production deployment and tuning.

Develop and maintain Python backend services and AI platform components. Build agent orchestration workflows, integrate LLMs and RAG solutions, connect tools and enterprise systems, optimize performance, and create testing and evaluation frameworks for production-ready agentic AI deployments.

Design, develop, and scale backend services and agent orchestration workflows for an Agentic AI platform. Integrate LLMs and vector DBs, implement RAG pipelines, build tools/connectors, ensure CI/CD, monitoring, testing, and optimize performance for production AI deployments.

Responsible for designing and implementing new features, owning architecture, testing and documentation, and improving team culture in a fast-paced environment.

Partner with ops, sales, and support to identify manual workflows and build AI-driven, agentic automation end-to-end. Architect, implement, deploy, and measure full-stack systems (backend, APIs, frontend dashboards) that reliably replace multi-step manual processes, optimize LLM costs, handle failure modes, and report business impact.

Develop, test, and maintain a complex distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements. Work with distributed workloads (Spark/Hadoop), SQL/Snowflake, AWS, shell scripting, and job scheduling/process automation. Support delivery under Agile/SAFe practices and ensure alignment with program standards.

Lead Software Engineer responsible for designing, developing, testing, and maintaining a distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements, implement cloud and big-data solutions (Spark/Hadoop), and ensure program standards and reliable delivery.