> Markdown version of [/jobs/ext/4383563-senior-python-developer-us](https://www.wearedevelopers.com/jobs/ext/4383563-senior-python-developer-us). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Python Developer (US) - **Company:** JBS - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $125,000.0 - $145,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Applications Architecture, Application Performance Management, Computer Vision, User Authentication, Automation of Tests, Databases, Continuous Integration, Data Mining, Relational Databases, Software Debugging, DevOps, JSON, Python (Programming Language), Object-Oriented Software Development, Cloud Services, Software Deployment, Software Engineering, SQL Databases, Systems Integration, Web Services, Data Logging, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Backend, Agentic-AI, Fastapi, Low Latency, Structured Output Generation, Api Design, Restful APIs, Data Pipelines, Microservices - **Published:** October 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5e0f2e3c5be8072d ## About the Role * 5+ years of professional software development, primarily in Python, with strong backend, object-oriented, and application architecture fundamentals. * Experience designing RESTful APIs and building microservices, including secure authentication and authorization. * Experience developing and deploying applications on AWS (or a comparable cloud platform), with working knowledge of CI/CD, automated testing, monitoring, and logging in production. * Solid grounding in relational databases, SQL, and data modeling, plus data processing workflows such as JSON parsing, document transformation, and structured output generation. * Hands-on experience integrating LLMs into production applications, including retrieval/RAG patterns and vector databases. At least one LLM-powered feature shipped to production. AWS Bedrock experience preferred; similar platforms are fine. * Strong debugging and problem-solving skills across applications, integrations, and infrastructure. * Clear communicator who works well in an Agile, cross-functional team and can own complex initiatives independently. Nice to Have * Experience developing GenAI or LLM-powered applications. * Experience with agentic AI frameworks or AI agent development. * Experience with document processing, PDF extraction, computer vision, or other data extraction technologies. * Experience optimizing applications for performance, latency, scalability, and cost efficiency., This is a remote, full-time W2 position. ## Description You'll work closely with product managers, engineers, QA, and other stakeholders to deliver features and solutions., * Design, build, test, and maintain Python applications, backend services, RESTful APIs, and microservices. * Own production software through its full lifecycle, driving initiatives independently from design through deployment and support. * Integrate third-party services, databases, and LLMs, and implement secure authentication and authorization for APIs and services. * Implement LLM integration patterns and retrieval capabilities, including RAG architectures and vector databases. * Build data processing workflows, including JSON parsing, document transformation, data extraction, and structured output generation. * Contribute to CI/CD pipelines, automated testing, deployment, monitoring, and logging, and troubleshoot production issues across applications, APIs, integrations, and infrastructure. * Improve application performance, reliability, scalability, and maintainability. * Collaborate with product, QA, DevOps, and business stakeholders, and evaluate new technologies where they offer meaningful improvements.