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Python Ai Developer Jobs in Cleveland, OH (NOW HIRING)

Bellwether Enterprise

AI Engineer

Cleveland, OH · On-site

Proficiency with Python and experience working with APIs, Large Language Models (LLMs), and cloud ... Familiarity with DevOps practices, containerization (Docker, Kubernetes), and CI/CD pipelines for ...

GE Aerospace

Sr AI Data Engineer

Cleveland, OH · On-site

$159K/yr

... Data Engineer designs and builds the AWS-native data foundation behind our enterprise AI ... Build ingestion and transformation pipelines in Python and SQL using AWS services -- Glue, Lambda ...

Expedient

Agentic AI Outcomes Engineer

Cleveland, OH · On-site

$125K - $150K/yr

Proficiency in Python, Go, or similar languages; expertise with AI/ML frameworks and LLMs; mastery of prompt engineering; experience with databases (SQL/NoSQL), data pipelines, and APIs. Familiarity ...

Expedient

Agentic AI Outcomes Engineer

Cleveland, OH · On-site

$125K - $150K/yr

Proficiency in Python, Go, or similar languages; expertise with AI/ML frameworks and LLMs; mastery of prompt engineering; experience with databases (SQL/NoSQL), data pipelines, and APIs. Familiarity ...

Expedient

Agentic AI Outcomes Engineer

Cleveland, OH · On-site

$125K - $150K/yr

Proficiency in Python, Go, or similar languages; expertise with AI/ML frameworks and LLMs; mastery of prompt engineering; experience with databases (SQL/NoSQL), data pipelines, and APIs. Familiarity ...

Expedient

Agentic AI Outcomes Engineer

Cleveland, OH · On-site

$125K - $150K/yr

Proficiency in Python, Go, or similar languages; expertise with AI/ML frameworks and LLMs; mastery of prompt engineering; experience with databases (SQL/NoSQL), data pipelines, and APIs. Familiarity ...

BrightEdge

Senior Frontend AI Engineer

Cleveland, OH · On-site

$118.80K - $163.40K/yr

Senior Frontend Developer (AI Tech Enablement) Role Summary: We are seeking a visionary Senior UI ... Languages: Expert-level JavaScript (ES6+), TypeScript, and Python. UI/UX: Proficiency in HTML5 ...

BrightEdge

Senior Frontend AI Engineer

Cleveland, OH · On-site

$118.80K - $163.40K/yr

Senior Frontend Developer (AI Tech Enablement) Role Summary: We are seeking a visionary Senior UI ... Languages: Expert-level JavaScript (ES6+), TypeScript, and Python. UI/UX: Proficiency in HTML5 ...

BrightEdge

Senior Frontend AI Engineer

Cleveland, OH

$118.80K - $163.40K/yr

Senior Frontend Developer (AI Tech Enablement) Role Summary: We are seeking a visionary Senior UI ... Languages: Expert-level JavaScript (ES6+), TypeScript, and Python. UI/UX: Proficiency in HTML5 ...

Pwc

GenAI Python Systems Engineer-Manager

Cleveland, OH

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

AceStack LLC

Google Gemini AI Architect

Bay Village, OH

$58.25 - $76.75/hr

Requires 6+ years in solutions architecture, AI/ML engineering, or technical consulting. The ... Requires deep knowledge of Vertex AI, Python, BigQuery, and Google Kubernetes Engine (GKE), Vector ...

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How much do python ai developer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for python ai developer in Cleveland, OH is $56.85, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $64.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python AI Developer, and why are they important?

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.

How much do Python AI developers make?

Python AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, especially in tech hubs or companies with advanced AI projects.
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Python Ai Developer jobs near you

AI / GenAI Architect

Purple Drive Technologies

Cleveland, OH • On-site

Full-time

Posted 18 days ago

Job description

Overview:
Role Summary:
We are looking for a highly experienced AI Architect specializing in Python-based AI development, Large Language Models (LLMs), and the design of chatbots and voice bots. The ideal candidate will architect enterprise-grade conversational AI solutions, ensure robust LLM performance monitoring, and drive innovation in Generative AI systems.
Key Responsibilities
LLM & Conversational AI Architecture
• Architect scalable solutions using LLMs, ChatGPT-style models, and voice AI frameworks.
• Design and build chatbots and voice bots using Python, ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and NLP/LLM pipelines.
• Create frameworks for conversational flows, prompt engineering, retrieval-augmented generation (RAG), and context management.
Solution Development
• Build end-to-end AI applications using Python, integrating with APIs, databases, and cloud-native services.
• Develop modular and reusable components for LLM inference, vector search, embeddings, and model orchestration.
• Integrate LLMs with enterprise systems (CRM, ticketing, case management, internal knowledge bases).
LLM Performance Monitoring & Optimization
• Implement monitoring systems for latency, hallucination rate, safety compliance, drift detection, prompt performance, and model quality.
• Set up continuous evaluation (CEVAL), feedback loops, and telemetry dashboards.
• Optimize inference cost, token usage, model selection (small vs. large models), and caching strategies
Voice Bot & Chat Bot Engineering
• Architect solutions using:
o Speech APIs (Azure Speech, Amazon Transcribe, Google Speech-to-Text)
o Chat platforms (Teams, Slack, web chat widgets)
o Telephony integrations (Twilio, Genesys, Ujet)
• Ensure high accuracy in intent detection, slot filling, sentiment tracking, and multimodal interaction.
MLOps & Deployment
• Implement MLOps practices including CI/CD, model versioning, A/B testing, evaluation pipelines, and governance.
• Deploy models on cloud platforms such as Azure, AWS, or GCP (Azure preferred if using OpenAI/Azure OpenAI).
Ensure compliance with enterprise AI governance, security, and ethical AI standards
Essential Skills: AI Architect| Python| LLM| Conversational AI Architecture| voice AI frameworks| ASR (Automatic Speech Recognition) | TTS (Text-to-Speech) | and NLPLLM pipelines| Voice Bot Chat Bot Engineering.

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