Full Stack Python Developer

Column Technical Services

Chicago (IL)

On-site

USD 110,000 - 160,000

Full time

3 days ago
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Job summary

Column Technical Services is seeking a seasoned Full Stack Python Developer with strong experience in FastAPI to design, build, and support scalable backend systems and APIs, while contributing to AI-driven initiatives in a fast-moving Agile environment.

This role emphasizes integrating large language model APIs and maintaining enterprise-grade software across cross-functional teams in the Chicagoland area.

Qualifications

  • Proficient in Python with strong FastAPI experience.
  • Experience building scalable backend systems and APIs.
  • Hands-on with cloud platforms (Azure) and relational databases (SQL Server).
  • Familiarity with AI tools and large language model integrations.
  • Proven track record in Agile delivery and SDLC compliance.
  • Experience deploying production-grade services and managing releases.

Responsibilities

  • Design and refine AI-driven workflow systems with modern frameworks.
  • Develop agent capabilities, tools, and safeguards for reliability.
  • Integrate and optimize LLM APIs (OpenAI, Anthropic) for performance.
  • Create evaluation frameworks to assess output quality and detect regressions.
  • Prototype concepts and translate requirements into technical solutions.
  • Collaborate with product managers and stakeholders to clarify needs.
  • Write maintainable, well-tested code aligned with acceptance criteria.
  • Architect scalable components across data, application, and business layers.
  • Maintain automated test suites: unit, integration, and performance tests.
  • Ensure adherence to enterprise architecture and SDLC processes.

Skills

Python
FastAPI
Azure
Agile
SQL Server
Git
Unit testing
AI tooling
OpenAI API
Anthropic

Tools

FastLLM
REST APIs
CI/CD

Job description

Column Technical Services is seeking a seasoned Full Stack Python Developer with strong experience in FastAP I 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.

This position does not provide sponsorship. Candidates must currently reside in the Chicagoland area.

Role Overview

This 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 Responsibilities
  • Design and continuously refine AI-driven workflow systems using modern agent-based frameworks
  • Develop agent capabilities, supporting tools, and safeguards to ensure system reliability and predictability
  • Integrate and optimize large language model APIs (e.g., OpenAI, Anthropic) for performance and efficiency
  • Create evaluation frameworks to assess output quality and detect regressions early
  • Quickly prototype and validate new concepts through hands-on experimentation
  • Remain actively informed on advancements in AI and share relevant findings with the team
  • Partner with product managers and stakeholders to clarify requirements and translate them into technical solutions
  • Execute proof-of-concept initiatives to validate ideas and reduce implementation risk
  • Write high-quality, maintainable, and well-tested code aligned with defined acceptance criteria and compliance needs
  • Architect scalable components across data, application, and business layers
  • Diagnose and resolve technical issues throughout development and integration
  • Develop and maintain automated testing suites, including unit, integration, regression, and performance tests
  • Ensure solutions adhere to enterprise architecture standards across the development lifecycle
Required Skills & Qualifications
  • 2+ years of experience with cloud platforms such as Azure (or equivalent)
  • 2+ years working with open-source frameworks, including FastAPI and FastLLM
  • 2+ years of hands-on experience with Agile delivery practices
  • Highly adaptable with a genuine interest in staying current in a rapidly evolving AI landscape
  • Action-oriented mindset, with a preference for testing and iterating rather than over-planning
  • Strong familiarity with AI tools and a forward-thinking approach to their application
  • Ability to quickly learn new technologies and frameworks independently
  • Demonstrated experience building and deploying high-scale, distributed transactional systems
  • Strong proficiency in Python and FastAPI (or similar asynchronous frameworks)
  • Practical experience working with relational databases, such as Microsoft SQL Server
  • Exposure to large language model integrations (OpenAI, Anthropic, etc.)
  • Understanding of RESTful API design and backend development fundamentals
  • Experience with Git and collaborative version control workflows
  • Familiarity with testing frameworks like pytest or unittest
  • Experience working within Agile methodologies (Scrum or Kanban) and understanding of SDLC processes
  • Solid grasp of database design, querying, and data access patterns
  • Experience developing applications using modular, component-based frameworks
  • Strong communication skills, with the ability to collaborate across technical and non-technical audiences
  • Commitment to modern development practices for enterprise application delivery
  • Experience supporting production releases, including deployments, patches, and enhancements
  • Ability to troubleshoot production issues and improve system performance and reliability
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