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Api Python Jobs in Cincinnati, OH (NOW HIRING)

Dellfor Technologies

Python Developer

Cincinnati, OH

$60K/yr

... API Development expertise in message bus technologies such as RabbitMQ, ActiveMQ; Apache Kafka preferred Solid working knowledge of NoSQL - Cassandra is a must Proficiency with Python, Django, Flask ...

ClifyX

AI engineer

Cincinnati, OH · On-site

Responsibilities : • Lead development of back-end services, primarily in Python • Work regularly with AI model APIs (such as the Azure OpenAI API or Google VertexAI API) • Work daily with Azure ...

Narratize Inc.

Senior Software Engineer

Cincinnati, OH · On-site

$130 - $150/hr

... Python, React, AWS cloud services, and AI/ML frameworks, and a passion for building high-quality ... RESTful API design and development with a focus on scalability and performance * Experience with AI ...

New

CBTS

Architect Network Automation

Cincinnati, OH · On-site

$140 - $190/hr

Build and maintain API integrations (REST, GraphQL, gRPC, JSON‑RPC) with platforms including: * Develop internal Python packages with: * Facilitate workshops, knowledge‑sharing sessions, and pair ...

Diverse Lynx

ML Ops Engineer

Cincinnati, OH · On-site

Required : • Python • OAuth2/OIDC • mTLS • AWS Lambda • AWS API Gateway / GCP Apijee • DynamoDB • AWS RDS • RestfulAPI • Git + GitHub • CloudWatch • OpenTelemetry • ...

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How much do api python jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for api python in Cincinnati, OH is $56.25, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $63.89 per hour, depending on experience, location, and employer.

What is an API Python developer?

An API Python developer is a software professional who specializes in creating, implementing, and maintaining Application Programming Interfaces (APIs) using the Python programming language. Their main responsibilities include designing RESTful or GraphQL APIs, integrating third-party services, ensuring secure and efficient data exchange, and writing clean, scalable code. API Python developers often work closely with front-end developers and other back-end engineers to support seamless communication between different parts of a software system.

What are the key skills and qualifications needed to thrive as an API Python developer?

To thrive as an API Python Developer, you need a solid understanding of Python programming, RESTful API design, and experience with frameworks like Flask or Django, often supported by a degree in computer science or related field. Familiarity with version control systems like Git, API testing tools such as Postman, and containerization platforms like Docker is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top developers apart. These skills ensure robust, secure, and scalable API solutions that meet business requirements and facilitate seamless collaboration within development teams.

What are some common challenges faced by API Python developers when integrating third-party services, and how can they be addressed?

API Python developers often encounter challenges such as inconsistent documentation, rate limiting, and unexpected changes in third-party APIs. To address these, it's important to thoroughly read and test API documentation, implement robust error handling and retry logic, and use environment variables or configuration files to manage sensitive credentials. Developers should also stay updated on API version changes and participate in relevant developer communities to share solutions and best practices.

What is the difference between Api Python vs Data Analyst?

AspectApi PythonData Analyst
Required SkillsPython programming, API integration, data manipulationData visualization, statistical analysis, Excel, SQL
Work EnvironmentSoftware development, backend services, data pipelinesBusiness insights, reporting, data interpretation
Common EmployersTech companies, startups, data-driven organizationsFinance, marketing, consulting firms

Api Python focuses on developing and maintaining APIs using Python, emphasizing coding and technical skills. Data Analysts interpret data to provide business insights, often using tools like Excel and SQL. While Api Python roles are more technical and development-oriented, Data Analysts focus on analyzing data to support decision-making. Both roles may overlap in data handling but serve different primary functions within organizations.

What are popular job titles related to Api Python jobs in Cincinnati, OH?

For Api Python jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Api Python jobs in Cincinnati, OH look for?

The top searched job categories for Api Python jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Api Python jobs?

Cities near Cincinnati, OH with the most Api Python job openings:

Api Python jobs near you

AI Solution Engineer / Python Developer _ Atlanta, GA / Dallas, TX / Mason, OH

Mason, OH • On-site

Tech Mirrors
See more jobs at Tech Mirrorsexternal

$120 - $180/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

AI Solution Engineer / Python Developer

Location: Atlanta, GA / Dallas, TX / Mason, OH (Onsite role in any of these locations)

Duration: July 30, 2026 – January 30, 2027 (6 Months)

Experience Required: 4–8 Years

Job Summary

TCS is seeking a highly skilled AI Solution Engineer / Python Developer with strong expertise in Python, FastAPI, LangChain, LangGraph, and Tesseract OCR to build AI‑powered, cloud‑native applications. The ideal candidate should have experience designing scalable microservices, integrating LLMs, developing AI workflows, and deploying secure, production‑ready AI solutions on AWS.

Must‑Have Skills Programming & Backend
  • Strong proficiency in Python
  • Hands‑on experience with FastAPI
  • Experience developing RESTful APIs
  • Strong understanding of Microservices Architecture
  • Experience with Asynchronous Processing
AI & Generative AI
  • LangChain
  • LangGraph
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval‑Augmented Generation (RAG)
  • Embeddings
  • Structured Outputs
  • AI Agent Development
  • Workflow Orchestration
  • Tool/API Orchestration
  • Intent Routing
  • AI‑assisted Decision Flows
  • OCR & Document Processing
Tesseract OCR
  • Tesseract OCR
  • Document Scanning
  • Text Extraction
  • PDF Processing
  • Image Processing
  • Document Ingestion Pipelines
Cloud & DevOps
  • AWS Lambda
  • Amazon SQS
  • Amazon SNS
  • Cloud‑native Architecture
  • Event‑driven Architecture
  • API Management
  • Apigee API Gateway
  • API Proxy Development
  • API Policies
  • Routing
  • OAuth Security
  • KVMs
  • API Products
  • API Deployment
  • Security
  • AI Guardrails
  • Prompt Injection Prevention
  • PII/PHI Protection
  • Response Validation
  • Logging & Monitoring
Good‑to‑Have Skills
  • OpenAI
  • Azure OpenAI
  • Docker
  • Vector Databases
  • Embeddings
  • Document Processing Pipelines
  • Cloud Platforms
Roles & Responsibilities
  • Design, develop, and maintain scalable REST APIs using Python and FastAPI.
  • Build and orchestrate LLM‑based AI workflows using LangChain and LangGraph.
  • Integrate Tesseract OCR for document scanning, text extraction, and preprocessing.
  • Develop backend services for AI/ML‑driven applications.
  • Build prompt workflows, AI agents, and state graphs for complex reasoning pipelines.
  • Design cloud‑native, event‑driven microservices using AWS services.
  • Develop secure API‑driven AI solutions using Apigee API Gateway.
  • Collaborate with Data Scientists, ML Engineers, and Frontend Developers.
  • Optimize APIs and AI processing pipelines for performance, scalability, and reliability.
  • Perform unit testing, code reviews, and documentation.
  • Implement AI security best practices, including guardrails, PII/PHI protection, prompt injection prevention, and monitoring.
Required Technical Skills
  • Python
  • FastAPI
  • LangChain
  • LangGraph
  • Tesseract OCR
  • REST APIs
  • Microservices
  • AWS Lambda
  • Amazon SQS
  • Amazon SNS
  • Apigee API Gateway
  • OAuth
  • Prompt Engineering
  • RAG
  • Embeddings
  • AI Agents
  • Event‑driven Architecture
Preferred Technical Skills
  • OpenAI / Azure OpenAI
  • Docker
  • Vector Databases
  • Document Processing
  • Cloud Platforms
Education

Bachelor’s or Master degree in Computer Science, Engineering, or a related field.

Primary Skills
  • Python
  • FastAPI
  • LangChain
  • LangGraph
  • Tesseract OCR
  • AWS
  • Apigee
  • Generative AI
  • LLM Integration
  • REST API Development
  • Microservices
  • AI Solution Engineering
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