Full Stack Python Developer

Column Technical Services is seeking a seasoned Full Stack Python Developer with strong experience in FastAPI to join a high-performing agile team. This individual will design, build, and support scalable backend systems and APIs, while also contributing to broader full-stack initiatives that address complex business needs. Success in this role requires strong proficiency in Python, modern frameworks, database systems, and established engineering practices. If this opportunity aligns with your experience and interests, we encourage you to apply and begin the conversation with us.This position does not provide sponsorship. Candidates must currently reside in the Chicagoland area.Role OverviewThis position is suited for a systems-minded professional who thrives in fast-moving environments and naturally leverages AI as a primary tool rather than a fallback. You will operate at the intersection of product and engineering, continuously experimenting and helping to deliver AI-driven solutions that perform effectively in real-world scenarios.Your day-to-day work may range from implementing large language model integrations to reimagining how workflows function from the ground up. Frequent context shifts are part of the role—and are expected to energize, not disrupt, your productivity.Key ResponsibilitiesDesign and continuously refine AI-driven workflow systems using modern agent-based frameworksDevelop agent capabilities, supporting tools, and safeguards to ensure system reliability and predictabilityIntegrate and optimize large language model APIs (e.g., OpenAI, Anthropic) for performance and efficiencyCreate evaluation frameworks to assess output quality and detect regressions earlyQuickly prototype and validate new concepts through hands-on experimentationRemain actively informed on advancements in AI and share relevant findings with the teamPartner with product managers and stakeholders to clarify requirements and translate them into technical solutionsExecute proof-of-concept initiatives to validate ideas and reduce implementation riskWrite high-quality, maintainable, and well-tested code aligned with defined acceptance criteria and compliance needsArchitect scalable components across data, application, and business layersDiagnose and resolve technical issues throughout development and integrationDevelop and maintain automated testing suites, including unit, integration, regression, and performance testsEnsure solutions adhere to enterprise architecture standards across the development lifecycleRequired Skills & Qualifications2+ years of experience with cloud platforms such as Azure (or equivalent)2+ years working with open-source frameworks, including FastAPI and FastLLM2+ years of hands-on experience with Agile delivery practicesHighly adaptable with a genuine interest in staying current in a rapidly evolving AI landscapeAction-oriented mindset, with a preference for testing and iterating rather than over-planningStrong familiarity with AI tools and a forward-thinking approach to their applicationAbility to quickly learn new technologies and frameworks independentlyDemonstrated experience building and deploying high-scale, distributed transactional systemsStrong proficiency in Python and FastAPI (or similar asynchronous frameworks)Practical experience working with relational databases, such as Microsoft SQL ServerExposure to large language model integrations (OpenAI, Anthropic, etc.)Understanding of RESTful API design and backend development fundamentalsExperience with Git and collaborative version control workflowsFamiliarity with testing frameworks like pytest or unittestExperience working within Agile methodologies (Scrum or Kanban) and understanding of SDLC processesSolid grasp of database design, querying, and data access patternsExperience developing applications using modular, component-based frameworksStrong communication skills, with the ability to collaborate across technical and non-technical audiencesCommitment to modern development practices for enterprise application deliveryExperience supporting production releases, including deployments, patches, and enhancementsAbility to troubleshoot production issues and improve system performance and reliability