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Junior Python Developer Jobs in Ohio (NOW HIRING)

Manager AI Engineer - Python As a Manager Technology, you will lead and manage and hands on Python-based engineering teams, ensuring the successful delivery of high-quality, scalable, and efficient ...

Python Software Engineer Location: Columbus, OH Job Type: Contract/ W2 Highly experienced Python software engineer who is looking for a challenging role where he/she can learn lots more and work on ...

$112K - $257K/yr

Python Software Engineer, Senior The Opportunity: Performs implementation, regular problem solving, maintenance and support for agile software development to modernize systems. Applies advanced ...

System Administrator (Leidos Corporate Information Security Office) Annual salary: $70,500.00. Job type: Full‑time, onsite at our Beavercreek, OH office. Leidos' Corporate Information Security ...

$112K - $257K/yr

Share Python Software Engineer, Senior The Opportunity: Performs implementation, regular problem solving, maintenance and support for agile software development to modernize systems. Applies advanced ...

Title Java/ Python - AWS Developer Location Columbus, OH Client Industry Fintech Compensation $60-65/ hr Ref ID 1689837 Responsibilities * Design, develop, and support scalable services using Java ...

Junior Reverse Engineer

Beavercreek, OH · On-site

$80K - $115K/yr

## Junior Reverse EngineerApplylocations: Beavercreek Township, Ohiotime type: Full timeposted on ... Proficiency in assembly language, C/C++, Python, or other relevant programming languages.

Showing results 41-60

Junior Python Developer information

See Ohio salary details

$22.8K

$84.6K

$130.7K

How much do junior python developer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for junior python developer in Ohio is $84,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $82,700.00 per year, depending on experience, location, and employer.

What is a junior Python developer?

A Junior Python Developer is an entry-level software developer who specializes in writing, testing, and maintaining code using the Python programming language. They typically work under the guidance of senior developers and assist in building applications, fixing bugs, and improving performance. Their responsibilities may include writing scripts, working with databases, and integrating third-party services. Strong problem-solving skills, knowledge of Python frameworks like Django or Flask, and familiarity with version control systems like Git are often required. Junior developers are expected to learn quickly and contribute to the development team while gaining hands-on experience.

What are the typical daily responsibilities of a junior Python developer?

As a Junior Python Developer, your daily tasks may include writing and testing code, fixing bugs, and participating in code reviews alongside more experienced developers. You'll often work on modules or features under the guidance of senior team members, attend stand-up meetings, and update project documentation as needed. Collaboration with frontend developers, QA testers, and project managers is common, especially when integrating systems or implementing new features. Over time, you can expect to take on more complex tasks and gradually build your expertise through mentorship and hands-on project work.

What are the key skills and qualifications needed to thrive in the junior Python developer position?

To thrive as a Junior Python Developer, you need a solid foundation in Python programming, an understanding of computer science fundamentals, and often a relevant degree or coursework. Familiarity with version control systems like Git, basic experience with web frameworks such as Flask or Django, and knowledge of databases are commonly expected, while certifications like PCEP can be advantageous. Attention to detail, a willingness to learn, effective problem-solving, and strong communication skills are essential soft skills for this role. These competencies ensure you can contribute efficiently to software development projects, adapt to new challenges, and collaborate well within a development team.

Is there a demand for junior Python developers?

There is strong demand for junior Python developers across various industries, including web development, data analysis, and automation. Companies seek candidates with basic programming skills, knowledge of frameworks like Django or Flask, and familiarity with version control tools such as Git. Entry-level positions are available in both startups and established organizations, reflecting Python's popularity and versatility.

What does a junior Python developer do?

A junior Python developer writes, tests, and maintains Python code for software applications under supervision. They often work on tasks such as debugging, implementing features, and collaborating with team members using tools like version control systems. Basic knowledge of programming concepts and familiarity with frameworks like Django or Flask are typically required.

What are the most commonly searched types of Python Developer jobs in Ohio?

The most popular types of Python Developer jobs in Ohio are:

What job categories do people searching Junior Python Developer jobs in Ohio look for?

The top searched job categories for Junior Python Developer jobs in Ohio are:

What cities in Ohio are hiring for Junior Python Developer jobs?

Cities in Ohio with the most Junior Python Developer job openings:

Infographic showing various Junior Python Developer job openings in Ohio as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $84,589 per year, or $40.7 per hour.

Software Engineer Python - Advanced

Columbus, OH • On-site

Photon
IT Services • 1 - 10 employees

Other

Posted 19 days ago


Job description

Job Title: Software Engineer Python - Advanced
Location: Columbus OH
Job Description:
  • We are looking for an Advanced Python Engineer / Agentic AI FDE with strong hands-on experience in Python development and a solid understanding of Generative AI, LLMs, AI Agents, and agentic application development.
  • The ideal candidate will work closely with client engineering and product teams to design, develop, integrate, and deploy production-grade agentic AI solutions. This role requires strong software engineering fundamentals, the ability to work with modern AI frameworks, and excellent client-facing problem-solving skills.
Key Responsibilities:
  • Design and develop scalable Agentic AI applications and AI-powered solutions using Python.
  • Build, integrate, and optimize AI agents, multi-agent workflows, tools, and orchestration pipelines.
  • Develop production-grade Python services, APIs, integrations, and backend components.
  • Work with LLMs, prompt engineering, RAG, embeddings, vector databases, and tool/function calling.
  • Implement agent workflows using frameworks such as LangChain, LangGraph, OpenAI Agent SDK, Google ADK, CrewAI, AutoGen, or similar frameworks.
  • Integrate AI agents with enterprise systems, APIs, databases, SaaS platforms, and business applications.
  • Develop and consume REST APIs, microservices, and event-driven integrations.
  • Implement appropriate mechanisms for agent memory, context management, state management, and knowledge retrieval.
  • Work with cloud-based AI platforms such as AWS Bedrock, Azure AI Foundry, or Google Cloud Vertex AI/Gemini.
  • Implement observability, monitoring, logging, evaluation, and performance optimization for AI applications.
  • Collaborate with architects, product managers, data scientists, and client stakeholders to translate business requirements into technical solutions.
  • Participate in client discussions, technical workshops, solution demonstrations, and proof-of-concepts.
  • Troubleshoot complex technical issues and provide hands-on engineering support during implementation.
  • Follow secure and responsible AI engineering practices, including appropriate authentication, authorization, data protection, and AI governance.
Required Technical Skills:
Python Advanced:
  • Strong hands-on expertise in Python.
  • Advanced knowledge of Python programming concepts, OOP, data structures, exception handling, concurrency/asynchronous programming, and performance optimization.
  • Experience building production-grade applications and APIs using frameworks such as FastAPI, Flask, or Django.
  • Strong understanding of testing, debugging, logging, packaging, and dependency management.
Agentic AI / Generative AI:
  • Strong understanding of LLMs, Generative AI, AI Agents, Agentic AI, and LLM application architecture.
  • Hands-on experience with one or more agent frameworks such as:
    • LangChain / LangGraph
    • OpenAI Agent SDK
    • Google ADK
    • CrewAI
    • AutoGen
    • Microsoft Agent Framework or equivalent
    • Experience with RAG, vector search, embeddings, prompt engineering, tool/function calling, structured outputs, and agent orchestration.
    • Understanding of agent memory, context management, multi-agent systems, and agent evaluation.
Cloud & AI Platforms:
  • Experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform.
  • Exposure to AI platforms such as Amazon Bedrock, Azure AI Foundry, Vertex AI/Gemini, or equivalent.
  • Understanding of deploying AI applications in cloud environments.
APIs & Integration:
  • Strong experience with REST APIs, JSON, web services, authentication, and third-party integrations.
  • Experience integrating AI solutions with enterprise applications and data sources.
  • Understanding of microservices and distributed application architecture.
Data & Databases:
  • Experience with SQL and relational databases.
  • Exposure to NoSQL databases and vector databases such as Pinecone, Weaviate, Milvus, pgvector, or equivalent.
  • Understanding of data ingestion, retrieval, chunking, embeddings, and knowledge bases.
Preferred Skills:
  • Experience with Docker, Kubernetes, CI/CD, Git, and cloud deployment.
  • Exposure to AI observability and evaluation tools.
  • Understanding of AI governance, guardrails, responsible AI, and security considerations for agentic systems.
  • Experience with MCP (Model Context Protocol) and enterprise tool integrations.
  • Experience working with enterprise-grade AI platforms or agent orchestration platforms.
  • Knowledge of authentication and authorization mechanisms such as OAuth2/JWT.
  • Experience working in financial services, banking, or other highly regulated environments is a plus.
FDE / Client-Facing Skills:
  • Strong communication and stakeholder management skills.
  • Ability to work directly with client engineering, architecture, and product teams.
  • Ability to understand ambiguous business problems and convert them into technical solutions.
  • Comfortable conducting technical workshops, architecture discussions, POCs, demos, and troubleshooting sessions.
  • Ability to work independently in a fast-paced client environment.
  • Strong analytical and problem-solving skills.
Education & Experience:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
  • 5+ years of software engineering experience, with strong hands-on Python development experience.
  • 2+ years of experience in Generative AI / LLM / Agentic AI development preferred.
  • Proven experience delivering production-grade applications or AI solutions.
Key Competencies:
Python | Agentic AI | Generative AI | LLMs | AI Agents | LangChain | LangGraph | OpenAI Agent SDK | RAG | Prompt Engineering | Vector Databases | FastAPI | REST APIs | AWS/Azure/Google Cloud Platform | Bedrock | Azure AI Foundry | Vertex AI | Docker | Kubernetes | CI/CD | AI Governance | Client Engineering | FDE