Top Remote Python Developer + Engineer Jobs

Design, build, and ship production-grade agentic AI systems that connect code context with runtime observability. Implement end-to-end LLM systems (prompting, tool calling, retrieval, memory, agents), define evaluation metrics and datasets, integrate with development workflows and Dynatrace, set technical strategy, mentor engineers, and own monitored production systems.

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.

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.

The Senior AI/ML Engineer will develop and improve analytical tools, approaches, and architecture for scalable AI and machine learning solutions, collaborating with engineers and data scientists on innovative projects.

As a Staff Software Engineer, you’ll lead the design and reliability of Duetto's data lakehouse, evolving data systems using Python and AWS, ensuring data quality, and implementing AI-driven solutions.

Design, build, and scale production-grade microservices to power GenAI/LLM features. Architect backend infrastructure for high-throughput AI workloads on AWS, collaborate with product and data science teams, and maintain clean, documented, and supported services.

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.

Founding engineer responsible for architecting and building core product systems, writing scalable Python backend code, designing and maintaining AI/ML infrastructure, instituting best development practices (testing, CI/CD), collaborating on product roadmap, and mentoring future engineers.

The role involves building open-source libraries for AI observability, focusing on developer experience and API design while engaging with the community.

Develop and maintain backend solutions, ensuring performance, security, and regulatory compliance, while collaborating in cross-functional teams.

Lead a team to integrate data engineering with actuarial practices, developing data-driven pricing strategies and ensuring data accuracy and compliance while fostering innovation within the actuarial team.

Build and maintain API services for a decentralized exchange, design and implement trade routing logic for optimized cross-chain swaps, integrate features with cross-functional teams, monitor system performance and reliability, and troubleshoot trade execution and API issues.

Lead and execute automated and manual testing for a long-term banking project. Plan test scenarios, execute tests, document results and defects, maintain test environments, implement Python/Behave automation, escalate risks, and participate in daily Agile squad ceremonies. Ensure traceability and test coverage in reports while managing and aligning small to mid-sized testing teams.

As a Python Developer Trainee, you'll assist in developing backend services, automation scripts, and support debugging while learning frameworks like Django and FastAPI.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

Design, build, and maintain AWS-based data processing pipelines and FHIR authorization services. Collaborate with cross-functional teams to develop, test, deploy, and monitor scalable software, participate in authorization reviews, and support DevOps/CI-CD and IaC efforts for CMS-related healthcare data solutions.

Design, develop, and maintain automated test solutions for REST APIs and UI, write Python/pytest automation, integrate tests into CI/CD, validate conversational/voice AI interactions, participate in defect triage and performance/latency validation for real-time workflows.

Design and build applications in Python, collaborate with clients, optimize performance, and ensure code quality in AI-driven projects.

Build, maintain, and improve Swayable's AI/ML and scientific computing systems. Productize machine learning and data-analysis workflows, optimize high-performance distributed and parallel computing, and collaborate with engineers, data scientists, and researchers to deliver scalable, testable solutions and new product features.

Design and implement durable, fault-tolerant AI orchestration and backend systems using Temporal and agentic ReAct patterns. Deliver features end-to-end with testing, CI/CD, monitoring, and observability; mentor engineers and collaborate with cross-functional teams to translate legal workflows into reliable AI-powered features.

Design, build, and maintain scalable data pipelines and tenant-aware APIs to ingest and transform data from varied sources. Work with event-driven and batch architectures, implement authentication and integration patterns, ensure observability/monitoring, optimize data flows for cost and performance, and collaborate with product, infrastructure, and engineering teams to onboard and maintain data sources at scale.

Design, develop, and maintain Python-based analytics and reporting solutions using healthcare data. Build self-service Plotly Dash applications, refactor legacy code, implement cloud-native and CI/CD practices, optimize SQL/data warehouse queries, mentor peers, and monitor production analytics to support business decisions.