Advanced Python Engineer / Agentic AI FDE Columbus, OH We are looking for an Advanced Python Engineer / Agentic AI FDE with strong hands-on experience in Python development and a solid understanding ...
Advanced Python Engineer / Agentic AI FDE Columbus, OH We are looking for an Advanced Python Engineer / Agentic AI FDE with strong hands-on experience in Python development and a solid understanding ...
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Python Developer information
See Dublin, OH salary details
$12.74 - $19.14
1% of jobs
$19.14 - $25.54
0% of jobs
$25.54 - $31.94
2% of jobs
$31.94 - $38.34
5% of jobs
$38.34 - $44.74
11% of jobs
$46.62 is the 25th percentile. Wages below this are outliers.
$44.74 - $51.14
18% of jobs
The median wage is $54.48 / hr.
$51.14 - $57.54
24% of jobs
$62.44 is the 75th percentile. Wages above this are outliers.
$57.54 - $63.94
18% of jobs
$63.94 - $70.34
13% of jobs
$70.34 - $76.74
5% of jobs
$76.74 - $83.15
3% of jobs
$12
$56
$83
How much do python developer jobs pay per hour?
What does a Python developer do?
As a Python developer, your job is to use the Python programming language to develop, implement, and debug a project. In this role, you may create an application for your employer, design the framework for your code, build tools as necessary to get the job done, create websites, or publish new services. Python developers often work with data collection and analytics to create useful answers to questions and provide insight where it's needed most. Like most programming positions, the specifics of this job vary based on the needs of your employer. Some Python developers work as independent contractors instead of being exclusive to one company.
What does a Python developer do?
What are the key skills and qualifications needed to thrive as a Python developer, and why are they important?
What are some common challenges Python developers face when working on large-scale projects?
What is the difference between Python Developer vs Java Developer?
| Aspect | Python Developer | Java Developer |
|---|---|---|
| Required Credentials | Bachelor's in CS or related field, Python certifications (optional) | Bachelor's in CS or related field, Java certifications (optional) |
| Work Environment | Web development, data science, automation, scripting | Enterprise applications, Android development, backend systems |
| Industry Usage | Tech startups, data companies, automation firms | Financial services, enterprise software, mobile app companies |
| Common Search/Comparison | Often compared for backend and scripting roles | Compared for enterprise and mobile app development |
Python Developers and Java Developers share similar educational backgrounds and often work in backend environments. However, Python is favored for data science, scripting, and rapid development, while Java is preferred for large-scale enterprise applications and Android development. Both roles are highly sought after, but their industry focus and project types differ.
How much do Python developers get paid?
Is Python in demand in 2026?
Is there a demand for Python developers?
What jobs can a Python Developer get?
What are the most commonly searched types of Python Developer jobs in Dublin, OH?
The most popular types of Python Developer jobs in Dublin, OH are:
What cities near Dublin, OH are hiring for Python Developer jobs?
Cities near Dublin, OH with the most Python Developer job openings:

Advanced Python Engineer / Agentic AI FDE
Columbus, OH • On-site
Other
Posted 18 days ago
Job description
Advanced Python Engineer / Agentic AI FDE
Columbus, OH
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
About Photon
Sourced by ZipRecruiter
Industry
It services
Company size
1 - 10 Employees
Headquarters location
Cambridge, MA, US