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Professional Llm Developer Jobs in Ohio (NOW HIRING)

CBTS

Architect Network Automation

Cincinnati, OH · On-site

$62.25 - $83.25/hr

Leverage AI/LLM developer tooling responsibly to improve productivity and code quality. Developer ... Required Qualifications Software Engineering (Primary) * 7+ years of professional software ...

Vertiv Co

AI / ML Platform Engineer

Westerville, OH · On-site

... professional experience in software engineering, AI/ML engineering, or a related technical discipline. * 3+ years of hands-on experience building and deploying GenAI / LLM-based applications or ...

Elevance Health

Gen AI Engineer

Mason, OH · Hybrid

LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model ... Advanced Python proficiency. * 4+ years of professional hands-on experience leveraging large sets ...

Hexion, Inc.

AI Applications Developer

OH

... * 5+ years of professional software development or data/analytics engineering experience ... Practical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face) and ...

Flexjet

Director of AI Engineering

Cleveland, OH · On-site

Oversee the production deployment of machine learning and LLM-powered applications, including RAG ... professional experience. 10+ years of experience in software engineering, machine learning ...

Hexion, Inc.

AI Applications Developer

OH · On-site +1

... * 5+ years of professional software development or data/analytics engineering experience ... Practical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face) and ...

Elevance Health

Gen AI Engineer

Mason, OH · Hybrid

LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model ... Advanced Python proficiency. * 4+ years of professional hands-on experience leveraging large sets ...

Flexjet

Director of AI Engineering

Cleveland, OH · On-site

... LLM-powered applications, including RAG solutions, AI copilots, model evaluation frameworks ... DevOps, and Product leadership teams to drive enterprise AI adoption and align technical strategy ...

Flexjet

Director of AI Engineering

Cleveland, OH

... LLM-powered applications, including RAG solutions, AI copilots, model evaluation frameworks ... DevOps, and Product leadership teams to drive enterprise AI adoption and align technical strategy ...

Kobie Marketing

AI Engineer

Columbus, OH · Remote

Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

CBIZ

Senior Application Security Engineer

Independence, OH · Hybrid

$111K - $153K/yr

CBZ) is a leading professional services advisor to middle-market businesses nationwide. With ... Build developer-friendly tooling, paved-road patterns, and self-service guardrails that enable ...

Flexjet

Senior Data Scientist

Cleveland, OH

... professional experience. 5+ years of experience in Data Science, Machine Learning, and AI software ... prompt engineering and LLM evaluation techniques Familiarity with frameworks such as LangChain ...

Booz Allen Hamilton

Senior AI/ML Engineer

Dayton, OH · On-site

$99K - $225K/yr

Design, develop, and implement AI / ML models, including NLP, LLM-based pipelines, deep learning ... professional development, tuition assistance, work-life programs, and dependent care. Our ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... professional experience. • 5+ years of experience in Data Science, Machine Learning, and AI ... engineering and LLM evaluation techniques • Familiarity with frameworks such as LangChain ...

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Professional Llm Developer information

What are Professional LLM Developers?

Professional LLM Developers are software engineers or specialists who design, build, and optimize applications and systems that leverage large language models (LLMs) like GPT-4, Claude, or similar AI models. Their work often involves integrating LLMs into products, fine-tuning models for specific tasks, ensuring safe and ethical AI use, and improving performance. They may also create tools and frameworks that facilitate the deployment and scaling of LLM-powered applications. Their expertise combines software development, machine learning, and natural language processing.

What is the difference between Professional Llm Developer vs Machine Learning Engineer?

AspectProfessional Llm DeveloperMachine Learning Engineer
CredentialsTypically requires advanced degrees in AI, NLP, or related fields; certifications in AI/MLOften holds degrees in computer science, data science, or engineering; certifications in ML frameworks
Work EnvironmentFocuses on developing and fine-tuning large language models, often in research or specialized AI teamsDesigns, builds, and deploys ML models across various applications, in industry or tech companies
Industry UsagePrimarily in AI research, NLP, and companies developing LLM-based productsUsed across tech, finance, healthcare, and other sectors for predictive modeling and automation

While both roles involve AI and machine learning, a Professional Llm Developer specializes in large language models and NLP, whereas a Machine Learning Engineer works on a broader range of ML applications and models across industries.

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

To thrive as a Professional LLM Developer, you need expertise in machine learning, natural language processing, and strong programming skills in languages like Python, often supported by a degree in computer science or related fields. Familiarity with deep learning frameworks (such as PyTorch or TensorFlow), experience with large language model architectures, and knowledge of cloud platforms are typically required, along with certifications like TensorFlow Developer or AWS Certified Machine Learning. Strong problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These skills ensure the development, fine-tuning, and deployment of robust LLM solutions that meet business and technical needs.

What are some common challenges faced by Professional LLM Developers when deploying large language models in production environments?

Professional LLM Developers often encounter challenges such as optimizing model performance to balance accuracy with computational efficiency, managing latency for real-time applications, and ensuring data privacy and security. Additionally, integrating LLMs with existing systems and maintaining model versioning can be complex. Collaboration with cross-functional teams, such as data engineers and product managers, is essential to address these challenges and ensure the successful deployment and ongoing maintenance of LLM-driven solutions.
What are the most commonly searched types of Llm Developer jobs in Ohio? The most popular types of Llm Developer jobs in Ohio are:
What are popular job titles related to Professional Llm Developer jobs in Ohio? For Professional Llm Developer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Professional Llm Developer jobs in Ohio look for? The top searched job categories for Professional Llm Developer jobs in Ohio are:
What cities in Ohio are hiring for Professional Llm Developer jobs? Cities in Ohio with the most Professional Llm Developer job openings:
Professional Llm Developer jobs near you

Architect Network Automation

CBTS

Cincinnati, OH • On-site

$62.25 - $83.25/hr

Other

Re-posted 3 days ago

Job description

CBTS serves enterprise and midmarket clients in all industries across the United States and Canada. CBTS combines deep technical expertise with a full suite of flexible technology solutions--including Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, CBTS delivers comprehensive technology solutions for its clients' transformative business initiatives. For more information, please visit .
We are seeking a Network Automation Architect - a software engineer first, with deep domain expertise in network infrastructure.
This is not a traditional network engineering role with scripting. This position owns the design, development, and delivery of production-grade automation software that operates across a large-scale, multi-vendor network environment for a Managed Service Provider (MSP).
You will define the developer experience for the network organization: setting coding standards, designing extensible software architectures, building reusable Python libraries and internal platforms, implementing CI/CD pipelines, and mentoring engineers in modern software development practices.
You think in design patterns, clean abstractions, testability, and long-term maintainability - and you apply that mindset to infrastructure automation.
What You'll Own
Software Architecture & Development
  • Architect and develop production-quality Python applications, libraries, and CLI tools for network automation, orchestration, and observability.
  • Design clean, extensible architectures using patterns such as factory, strategy, adapter, and plugin-based systems to abstract vendor differences.
  • Build and maintain API integrations (REST, GraphQL, gRPC, JSON-RPC) with platforms including:
  • Arista VeloCloud
  • Palo Alto Prisma SD-WAN
  • Fortinet SD-WAN
  • Cisco Meraki
  • Juniper Mist
  • Traditional network OS platforms (IOS-XE, NX-OS, JunOS)
  • Develop internal Python packages with:
  • Proper packaging (pyproject.toml)
  • Semantic versioning
  • Dependency management
  • Internal PyPI distribution
  • Write comprehensive test suites:
  • Unit tests (pytest)
  • Integration tests
  • Network validation tests using mocks and fixtures
  • Shape Git strategies and repository structure.
  • Leverage AI/LLM developer tooling responsibly to improve productivity and code quality.

Developer Experience & Engineering Standards
  • Author and maintain coding standards, architectural decision records (ADRs), and development guidelines.
  • Establish and enforce code quality tooling:
  • PEP8
  • Ruff / Pylint
  • Black
  • MyPy
  • Pre-commit hooks
  • Design and implement CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) for:
  • Linting
  • Testing
  • Security scanning
  • Build and release automation
  • Define Git workflows:
  • Branching strategies
  • Pull request standards
  • Code review expectations
  • Release management
  • Create project templates, scaffolding, and cookiecutters to standardize automation development.

Innovation, Automation & Technical Leadership
  • Identify manual workflows and operational pain points, then design automation solutions to eliminate them.
  • Prototype new tools, frameworks, and approaches from idea through production adoption.
  • Improve observability by integrating automation platforms with logging, monitoring, and alerting systems.
  • Contribute to technology roadmap and vendor evaluation from a software architecture and productivity perspective.

Mentorship & Culture
  • Mentor network engineers in:
  • Python development
  • Testing strategies
  • Code structure
  • Debugging
  • Version control
  • Lead code reviews with a teaching mindset.
  • Facilitate workshops, knowledge-sharing sessions, and pair programming.
  • Partner with DevOps, Cloud, Security, and Application teams to align engineering practices.

Required Qualifications
Software Engineering (Primary)
  • 7+ years of professional software development experience with Python as the primary language.
  • Advanced Python expertise:
  • Type hints
  • Dataclasses / Pydantic
  • Async / await
  • Context managers, decorators, generators
  • Experience building Python libraries, packages, and CLI tools (Click, Typer, argparse).
  • Strong testing background: pytest, mocking, fixtures, TDD.
  • Advanced Git skills (rebase, cherry-pick, bisect, hooks).
  • Hands-on experience designing and maintaining CI/CD pipelines.
  • Solid grounding in SOLID principles, design patterns, and clean architecture.
  • Experience writing technical documentation and developer guidelines.

Required Network Domain Expertise
  • Strong understanding of:
  • Routing (BGP, OSPF)
  • Switching
  • VPNs and firewalls
  • SD-WAN
  • Network security fundamentals
  • Experience automating at least two or more of:
  • NetBox
  • Arista VeloCloud
  • Cisco Meraki
  • Juniper Mist
  • Palo Alto Prisma SD-WAN
  • Fortinet SD-WAN
  • Familiarity with Netmiko, NAPALM, Nornir, pyATS.
  • Experience with JSON, YAML, XML, and Jinja2 templating.

Preferred Qualifications
  • Terraform (including module or provider development)
  • AWS networking and architecture
  • Docker, Kubernetes, Linux
  • Observability stacks (Grafana, Prometheus, ELK)
  • Event-driven automation (Kafka, RabbitMQ, webhooks)
  • Database integration (PostgreSQL, Redis, SQLite)
  • Internal developer platforms, self-service portals, or ChatOps
  • Open-source contributions or public automation portfolio
  • Relevant certifications (Cisco DevNet, CCNP/CCIE, AWS, Terraform)

Why This Role
  • Architect the automation backbone of a modern MSP
  • Own standards, tooling, and culture - not just scripts
  • Solve large-scale, real-world infrastructure problems
  • High autonomy, high impact, long-term technical ownership

$105,000-140,000/per annum, i.e. the range is salary not including commission.
The compensation range in this posting reflects the Company's good-faith estimate at the time of publication. The applicable base pay range for any individual will be determined based on the candidate's designated primary work location as well as factors including role scope and responsibilities, required qualifications, and the individual's experience, education, skills, knowledge, and performance. Certain positions may also be eligible for additional compensation such as discretionary merit increases, bonuses, or sales-based variable compensation in accordance with applicable plans and role requirements.
Due to U.S. Government requirements applicable to foreign-owned telecommunications providers, non-s may be required to submit to an extensive government agency background check which will necessitate disclosure of sensitive Personally Identifiable Information.

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