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Contract Llm Developer Jobs in Ohio (NOW HIRING)

Whiz Global LLC

ML Engineer

Columbus, OH · On-site

ML Engineer (AI/LLM & Cloud) Location: Jersey City, NJ (Hybrid - 3 Days Onsite) OR Columbus, OH (5 Days Onsite) Duration: Contract-to-Hire Job Summary We are seeking a highly experienced ML Engineer ...

GE Aerospace

Software Engineer AI/ML

Evendale, OH · On-site

$109K - $132K/yr

... contracts, and operations. We're looking for an AI Engineer to help transform GE Aerospace operational data into production-grade machine learning pipelines, models, and LLM-powered applications.

Kobie Marketing

AI Engineer

Columbus, OH · Remote

... contracts and Pydantic validation Evaluation and Reliability ... Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ...

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 ... as well as contract-specific affordability and organizational requirements. The projected ...

JPMorganChase

Lead Software Engineer

Columbus, OH · On-site

... contracts, testing, and packaging. • Solid AWS background with working knowledge of ECS or EKS ... Preferred : • Expertise with distributed orchestration patterns for LLM applications (graph-based ...

JPMorganChase

Lead Software Engineer

Columbus, OH · On-site

... contracts, testing, and packaging. • Solid AWS background with working knowledge of ECS or EKS ... Preferred : • Expertise with distributed orchestration patterns for LLM applications (graph-based ...

JP Morgan Chase

Lead Software Engineer

Columbus, OH · On-site

... contracts, testing, and packaging. * Solid AWS background with working knowledge of ECS or EKS ... Practical understanding of LLM patterns: function calling/tools, RAG, prompt management, context ...

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Contract Llm Developer information

What are some common challenges Contract LLM Developers face when working with clients on AI projects?

Contract LLM Developers often encounter challenges such as aligning client expectations with the current capabilities and limitations of large language models, ensuring data privacy and compliance, and integrating AI solutions into existing systems. Communication is key, as clients may not fully understand the technical constraints or required data preparation. Additionally, managing project scope and timelines while balancing multiple stakeholders' input can require strong project management and negotiation skills.

What are Contract LLM Developers?

Contract LLM Developers are professionals hired on a temporary or project basis to design, develop, and implement applications using large language models (LLMs) like GPT-4. They typically work with organizations seeking to integrate advanced natural language processing (NLP) capabilities into their products or services. Contract LLM Developers are skilled in machine learning, programming languages such as Python, and have experience with AI frameworks and APIs. Their responsibilities may include fine-tuning language models, building conversational AI systems, and ensuring the ethical use of AI technologies.

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

To thrive as a Contract LLM Developer, you need strong programming skills (often in Python), a solid understanding of machine learning concepts, and experience with large language models, typically supported by a degree in computer science or related field. Familiarity with tools like TensorFlow, PyTorch, Hugging Face Transformers, and cloud platforms, as well as experience with APIs and version control systems, is common. Excellent problem-solving, communication, and the ability to quickly adapt to new technologies help you stand out in this freelance or project-based role. These skills are critical for efficiently developing, fine-tuning, and deploying sophisticated language models that meet client requirements.

What is the difference between Contract Llm Developer vs Contract Software Engineer?

AspectContract Llm DeveloperContract Software Engineer
Required CredentialsTypically requires a law degree, LLM specialization, and legal certificationsRequires a computer science degree or related technical certifications
Work EnvironmentLegal firms, AI companies focusing on legal tech, or law departmentsTech companies, software development firms, or startups
Industry UsageLegal tech, AI legal applications, compliance toolsGeneral software development, AI, and tech industries
Common Search/ComparisonYesYes

The Contract Llm Developer specializes in legal language models, requiring legal expertise and an LLM degree, often working within legal tech or law-related industries. In contrast, a Contract Software Engineer focuses on software development skills and technical certifications, working across various tech sectors. While both roles involve AI and contract work, their core skills and industry applications differ significantly.

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 Contract Llm Developer jobs in Ohio? For Contract Llm Developer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Contract Llm Developer jobs in Ohio look for? The top searched job categories for Contract Llm Developer jobs in Ohio are:
What cities in Ohio are hiring for Contract Llm Developer jobs? Cities in Ohio with the most Contract Llm Developer job openings:
Contract Llm Developer jobs near you

Artificial Intelligence/Machine Learning Engineer (Pending Contract Award)

Design Interactive

Dayton, OH • Hybrid

Full-time

Posted 18 days ago

Job description

Pipeline Requisition – Proposal (Anticipated Start: September 2026)
Location: Wright Patterson Air Force Base, Dayton, OH (subject to award)
Contract Type: Proposal Pipeline – Positions contingent upon contract award
Overview: We are building a talent pipeline in support of an upcoming contract proposal to provide advisory and assistance services to Air Force Life Cycle Management Center (AFLCMC) to support the National Air and Space Intelligence Center (NASIC) mission areas including engineering, analysis, information technology and cyber security, with anticipated work beginning in September 2026. This position will support NASIC’s production of technical intelligence; modernize capabilities; support intelligence community collaboration and Department of War (DoW) mission needs.
Work will be performed on-site at Wright Patterson Air Force Base, Dayton, OH, pending award.
Required Qualifications:
  • Ability to obtain and maintain a DoD security clearance (Secret or TS/SCI depending on role)
  • Strong background directly aligned with the technical or analytical specialty area
  • Strong analytical, communication, and writing skills
  • For some roles, advanced degrees (MS/PhD) are preferred
Desired Qualifications
  • Experience supporting DoW, interagency, or national security missions is highly desirable
  • Experience within the National Air and Space Intelligence Center (NASIC) community.
We are currently gathering interest and pre-qualifying candidates for the potential role described below:
Artificial Intelligence/Machine Learning Engineer
The Artificial Intelligence/Machine Learning (AI/ML) Engineer provides engineering support to deliver secure, low‑risk technical solutions and effective program execution, including the integration of intelligent automation, AI, and machine learning. Responsibilities include developing and managing programs to guide digital transformation to cloud computing environments and the implementation of intelligent automation, AI and ML capabilities. The engineer leads programs that guide the application of hardware, software, and policy to modernize and adapt legacy systems for hybrid classified cloud environments. Additionally, the engineer develops and oversees programs that enable the adoption and operationalization of IA/AI/ML solutions, ensuring alignment with mission priorities, data strategies, and security requirements.
Desired Experience:
  • Bachelor’s degree in computer science/engineering or related discipline
  • Minimum 5 years of related experience.
  • Requires proficiency in complete software development lifecycle.
  • 3+ years of experience in AL/ML-based solutions, including Python programming and deep learning frameworks such as PyTorch, TensorFlow, or Keras
  • Experience developing Natural Language Processing (NLP), Large Language Models (LLM), and Retrieval-Augmented Generation (RAG)-enabled solutions
  • Experience applying AI/ML research to develop AI/ML solutions
  • Knowledge of core AI/ML concepts, including clustering, regression, classification, algorithm selection, and model evaluation
  • Requires good oral and written communication skills, interpersonal skills, including ability to adapt and work effectively in a variety of configurations independently, as a member of a team, and in a matrix reporting environment.
  • Requires ability to prioritize tasks, show considerable initiative, resolve conflicts and handle complaints.
About Us – Design Interactive, Inc.
Founded in 1998, Design Interactive (DI) is a small business dedicated to optimizing and enhancing human performance by utilizing cutting-edge technology, pioneering research, and focusing on digital transformation.
We deliver end-to-end solutions—Huan Factors amp; Human Systems Integration, UX/UI Design amp; Human-Centered Design, Digital Transformation, Applied Research amp; Technology Development, Data Science amp; Advanced Analytics, Artificial Intelligence amp; Machine Learning (AI/ML), Life Cycle Software Development, and System amp; Software Integration. DI solves high impact performance challenges across both defense and commercial industries.
Our Mission:
We Empower People with Innovative Technology.
Our Culture:
We’re committed to an inclusive and diverse workplace where every individual feels valued and respected. We provide equal opportunities to all candidates, regardless of background or identity.
Equal Employment Opportunity (EEO) Statement
We encourage applications from candidates of all backgrounds, experiences, and abilities—including those from underrepresented communities in technology.

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