ZipRecruiter

Log In

1

Python Fastapi Developer Jobs in Kansas City, KS

Jobtailor

AI Software Engineer

Dearborn, MO · On-site

$110 - $150/hr

Develop asynchronous Python (FastAPI/Flask) or Java (Spring Boot) backend services optimized for ... Drive architecture decisions, engineering best practices, and operational excellence. Requirements

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Advanced proficiency in Python, FastAPI, and Azure Cloud. Skilled in deploying and orchestrating ... Experienced with modern DevOps best practices to ensure system reliability and maintainability.

Pwc

GenAI Python Systems Engineer -Senior Manager

Kansas City, MO · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ... maintaining FastAPI endpoints for applications - Understanding AI techniques enhancing LLMs ...

All JobsPython Fastapi Developer JobsPython Fastapi Developer Jobs in Kansas City, KS

Python Fastapi Developer information

See Kansas City, KS salary details

$12

$56

$83

How much do python fastapi developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python fastapi developer in Kansas City, KS is $56.53, according to ZipRecruiter salary data. Most workers in this role earn between $46.59 and $64.23 per hour, depending on experience, location, and employer.

What is a Python FastAPI developer?

A Python FastAPI Developer is responsible for designing, developing, and maintaining backend applications using FastAPI, a modern web framework for building APIs with Python. They work on creating high-performance APIs, integrating with databases, implementing authentication, and ensuring scalability. This role often involves working with asynchronous programming, cloud services, and containerization tools like Docker. Developers collaborate with teams to create efficient, secure, and well-documented API endpoints for web and mobile applications.

What are some typical daily tasks for a Python FastAPI developer?

A Python FastAPI Developer typically spends their day designing, developing, and maintaining RESTful APIs to support web or mobile applications. This involves writing clean and efficient Python code, collaborating with frontend developers or other backend engineers to integrate new features, and ensuring the application meets performance and security standards. Developers also participate in code reviews, debugging, and continuous integration processes, while regularly communicating with product managers or stakeholders to align on project requirements. Staying up to date with FastAPI enhancements and industry best practices is also a common part of the role.

What are the key skills and qualifications needed to thrive in the Python FastAPI developer position, and why are they important?

To thrive as a Python FastAPI Developer, you need strong proficiency in Python programming, experience designing RESTful APIs with FastAPI, and a background in web development concepts. Familiarity with version control systems like Git, containerization tools such as Docker, and knowledge of cloud platforms or SQL/NoSQL databases are commonly required, and certifications in cloud services or Python development can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help developers contribute efficiently to complex projects. These competencies ensure robust, scalable backend solutions and smooth coordination within development teams to meet business goals.

What are popular job titles related to Python Fastapi Developer jobs in Kansas City, KS?

For Python Fastapi Developer jobs in Kansas City, KS, the most frequently searched job titles are:

What job categories do people searching Python Fastapi Developer jobs in Kansas City, KS look for?

The top searched job categories for Python Fastapi Developer jobs in Kansas City, KS are:

What cities near Kansas City, KS are hiring for Python Fastapi Developer jobs?

Cities near Kansas City, KS with the most Python Fastapi Developer job openings:

Python Fastapi Developer jobs near you
Infographic showing various Python Fastapi Developer job openings in Kansas City, KS as of August 2026, with employment types broken down into 2% Internship, 84% Full Time, 7% Part Time, and 7% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $117,586 per year, or $56.5 per hour.

AI Software Engineer

Jobtailor

Dearborn, MO • On-site

$110 - $150/hr

Other

Posted 13 days ago

Job description

Responsibilities
  • Design and Build Agentic Workflows: Design and build AI-powered applications, agents, and intelligent workflows that improve discovery, recommendation, and analysis of marketing enterprise analytics assets, customer data, and media metrics.
  • Architect Autonomous Loops: Transition from linear "chain" workflows to self-correcting agentic loops using frameworks like LangChain, LangGraph, or LlamaIndex to automate complex marketing analytics workflows.
  • Implement Tool-Use & MCP: Design and implement robust "tool-calling" capabilities, ensuring LLMs can reliably interact with external marketing APIs, Customer Data Platforms (CDPs), and internal media databases. Build and maintain Model Context Protocol (MCP) servers to bridge the gap between LLMs and our proprietary marketing data silos securely and in real-time.
  • Develop High-Concurrency Backends: Develop asynchronous Python (FastAPI/Flask) or Java (Spring Boot) backend services optimized for long-running AI tasks, marketing attribution modeling, and real-time token streaming.
  • Build Streaming Frontends: Build responsive, stateful UIs in React or Angular that handle complex AI interactions (streaming text, generative UI components, and multi-modal feedback).
  • Optimize Advanced RAG Pipelines: Implement advanced RAG pipelines (re-ranking, query transformation, and embedding optimization) to maximize retrieval precision over vast libraries of marketing assets, creative guidelines, and historical campaign results.
  • Establish AI Evals & Observability: Establish AI Evals to quantify hallucination rates, latency, and cost, leading the shift from "vibes-based" testing to rigorous, automated AI benchmarking.
  • Collaborate & Guide: Collaborate with product managers, marketing experts, and domain stakeholders to translate business needs into technical solutions. Drive architecture decisions, engineering best practices, and operational excellence.
Requirements
  • Masters Degree in Computer Science, Information Systems, or a related quantitative field.
  • 3+ years of professional experience in Software Engineering or Data Science building scalable production systems.
  • 1+ years of hands-on experience designing, training, and deploying complex AI/ML systems in production environments.
  • Experience working with Python, Java, JavaScript, or Angular programming languages.
  • Experience in building autonomous agents using agent orchestration frameworks such as LangGraph, LangChain, LlamaIndex, or similar technologies.
  • Experience implementing tool integration patterns (MCP), agent communication protocols, and AI application observability.
  • Experience with vector search, hybrid retrieval architectures, or vector databases (Chroma, Qdrant, Pinecone, pgvector).
  • Experience working with GCP services (Vertex AI, Cloud Run, and BigQuery) or similar cloud platforms for deploying scalable AI solutions.
  • Strong problem-solving and system design skills with the ability to evaluate competing technical approaches and articulate tradeoffs.
  • Solid understanding of data engineering (SQL, Spark, data pipelines) and a strong interest or experience in quantitative marketing concepts like multi-touch attribution, cohort analysis, and predictive customer lifetime value.
#J-18808-Ljbffr

Apply