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Assistant Llm Developer Jobs (NOW HIRING)

Northwoods

Principal DevOps Engineer

Dublin, OH · On-site

$51 - $69.75/hr

The DevOps Engineer Lead turns deployment and infrastructure from siloed knowledge into ... use LLM-based assistants responsibly. * Experience deploying and managing application ...

Northwoods

Principal DevOps Engineer

Dublin, OH · On-site

$51 - $69.75/hr

The DevOps Engineer Lead turns deployment and infrastructure from siloed knowledge into ... use LLM-based assistants responsibly. * Experience deploying and managing application ...

Northwoods

Principal DevOps Engineer

Dublin, OH

$51 - $69.75/hr

The DevOps Engineer Lead turns deployment and infrastructure from siloed knowledge into ... use LLM-based assistants responsibly. * Experience deploying and managing application ...

Slip Robotics

Digital Solutions Developer

Atlanta, GA · On-site

The Role We are hiring a Digital Solutions Developer to build internal tools, workflow automations ... Active daily use of AI development tools - code assistants, LLM-based prototyping, AI-assisted ...

Slip Robotics

Full-Stack Developer

Atlanta, GA · On-site

The Role We are hiring a Full-Stack Developer to build internal tools, automations, and ... Active use of AI development tools - code assistants, LLM-based prototyping, AI-assisted debugging.

Slip Robotics

Digital Solutions Developer

Atlanta, GA · On-site

The Role We are hiring a Digital Solutions Developer to build internal tools, workflow automations ... Active daily use of AI development tools - code assistants, LLM-based prototyping, AI-assisted ...

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Assistant Llm Developer information

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How much do assistant llm developer jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for assistant llm developer in the United States is $19.90, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $20.67 per hour, depending on experience, location, and employer.

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

AspectAssistant Llm DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; familiarity with NLP and LLMsBachelor's or higher in CS, Data Science, or related; strong ML background
Work EnvironmentTech companies, AI startups, research labsTech firms, AI companies, research institutions
Employer & Industry UsageFocus on developing and fine-tuning language modelsDesigning, building, deploying ML models across domains

Assistant Llm Developers typically focus on developing and fine-tuning language models, often working closely with NLP teams. Machine Learning Engineers have a broader scope, designing and deploying various ML models across industries. Both roles require strong technical skills, but Assistant Llm Developers specialize more in language-specific AI applications.

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What cities are hiring for Assistant Llm Developer jobs? Cities with the most Assistant Llm Developer job openings:
What are the most commonly searched types of Llm Developer jobs? The most popular types of Llm Developer jobs are:
What states have the most Assistant Llm Developer jobs? States with the most job openings for Assistant Llm Developer jobs include:
What job categories do people searching Assistant Llm Developer jobs look for? The top searched job categories for Assistant Llm Developer jobs are:
Assistant Llm Developer jobs near you
Infographic showing various Assistant Llm Developer job openings in the United States as of May 2026, with employment types broken down into 27% Full Time, and 73% Part Time. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $41,393 per year, or $19.9 per hour.
AI Engineering Intern (LLM Applications)

AI Engineering Intern (LLM Applications)

Frontline Education

Wayne, PA • On-site

Internship

This job post has expired today. Applications are no longer accepted.

Job description

Location
Hybrid within compatible U.S. time zones
How You’ll Contribute to Our Mission
At Frontline Education, our vision is simple but powerful: every school thriving. Every community stronger. Our mission is to transform how schools work, so every educator and student succeeds.
As an AI Engineering Intern focused on Large Language Model (LLM) applications, you’ll help bring that mission to life by building practical, thoughtful AI experiences that solve real-world challenges for educators and school communities. This is a hands-on opportunity to work alongside engineers, product leaders, and platform teams to prototype, develop, and improve AI-powered features that make work simpler, smarter, and more impactful.
You’ll contribute to meaningful projects, learn from experienced mentors, and gain exposure to modern AI systems in production environments. From experimentation to deployment, your work will help shape how AI can responsibly support people and outcomes at scale.
How You’ll Drive Success
  • Contribute to the development of LLM-powered features from concept through deployment, including prototyping, testing, iteration, and implementation.
  • Support retrieval-augmented generation (RAG) workflows, including document ingestion, vector search, and knowledge retrieval experiences.
  • Write, refine, and evaluate prompts while helping improve response quality, reliability, and safety.
  • Integrate AI models and APIs into backend services and workflows using modern engineering practices.
  • Assist with testing, observability, and evaluation efforts to help teams measure quality and performance.
  • Collaborate across engineering, product, and data teams to solve problems thoughtfully and efficiently.
  • Document technical decisions, learnings, and workflows in ways that support shared understanding and long-term team success.
  • Explore emerging AI tools and approaches with curiosity, responsibility, and a focus on meaningful outcomes for users.
What You Bring to Help Us Grow
  • Currently pursuing a Bachelor’s degree in Computer Science or a related technical field, with senior standing preferred.
  • Strong foundational Python programming skills and understanding of software engineering fundamentals.
  • Familiarity with APIs, backend services, and how modern web applications communicate.
  • Ability to learn quickly, ask thoughtful questions, and adapt in fast-evolving technical environments.
  • Interest in solving practical problems through technology and experimentation.
Preferred qualifications include:
  • Exposure to machine learning frameworks such as PyTorch or Hugging Face Transformers.
  • Familiarity with orchestration frameworks such as LangChain or LlamaIndex.
  • Experience exploring cloud environments such as AWS, Azure, or GCP.
  • Interest in responsible AI practices, including bias mitigation, privacy, and safe deployment patterns.
  • Academic, personal, or internship projects involving NLP, conversational AI, document search, or AI-assisted tools.
  • Hands-on experience working with LLM APIs such as OpenAI, Anthropic, or similar platforms.
What You’ll Need to Thrive
  • A growth mindset and willingness to learn through experimentation and feedback.
  • Comfort navigating ambiguity while staying focused on practical solutions and outcomes.
  • Strong collaboration and communication skills across technical and non-technical teams.
  • Curiosity about how AI can improve experiences for educators, administrators, and school communities.
  • A thoughtful and responsible approach to using emerging technologies.
  • The ability to balance innovation with reliability, usability, and human-centered design.
  • Motivation to contribute meaningfully, take ownership of your work, and continuously improve.
Our Mission, Our People, Our Purpose
At Frontline Education, we’re reimagining what’s possible by becoming an AI-first organization, transforming how we think, work, and serve the educators who shape our schools every day. By using AI in thoughtful, practical ways, we’re creating tools that help educators save time, gain insights, and focus more on what matters most — their students.
As part of our team, you’ll be expected and empowered to build and apply AI skillsets that grow with you, because at Frontline Education, technology amplifies what matters most: the human drive to learn, improve, and make a difference.
How We Support Growth, Balance, and Well-Being
• Personalized Time Off: Take time when it’s needed most — whether that’s a family vacation, a reset day, or simply time to rest and refocus.
• Paid Sick Time: Separate, dedicated sick leave to care for yourself or loved ones.
• Volunteer Time Off: Paid time to give back and support causes that matter to you.
• Ten Paid Holidays: Enjoy meaningful moments and traditions throughout the year.
• Our Philosophy: We believe time away from work helps you bring your best self to it.
Continuous Learning and Growth
• World-Class Learning Access: Explore thousands of on-demand courses through platforms like LinkedIn Learning.
• Leadership & Technical Skill Building: Develop new capabilities and chart your own professional path.
• AI Empowerment: Use OpenAI tools to build fluency with emerging technology and harness AI as a creative partner for innovation and problem-solving.
• Tuition Reimbursement: Invest in formal education to advance your skills and career.
• Ongoing Learning Culture: Participate in company-led webinars on AI, inclusion, and industry trends—designed to inspire curiosity and continuous improvement.
Health, Happiness, and Purpose
• Wellness Initiatives: Company-sponsored programs that support physical, mental, and emotional well-being.
• Employee Assistance Program (EAP): Confidential support for you and your family’s needs.
• Comprehensive Benefits: Health and financial benefits that support your happiness and future.
• A Culture That Cares: At Frontline Education, we want every team member to learn, grow, and thrive—personally, professionally, and purposefully.
Compensation & Benefits
  • The hourly rate for this position will range from $25-35/hr, based on skills and experience. 
  • Access to internal AI tools, learning resources, and hands-on development opportunities.
  • Mentorship from experienced engineers and cross-functional leaders.
  • Opportunity to contribute to meaningful, production-level AI initiatives.
  • Potential consideration for future internship or full-time opportunities based on performance and business needs.
Inclusion, Belonging & Equal Opportunity
Frontline Education is an equal opportunity/affirmative action employer. We aspire to have an inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join our team.
Interview Process & Data Privacy
Our interview process is designed to help us learn more about your technical interests, problem-solving approach, and growth potential in a collaborative environment.
As part of our interview process, Frontline may use video conferencing platforms that include photo capture and optional transcription features to support notetaking and hiring consistency. Candidates may request accommodations or opt out of transcription by notifying their recruiter in advance. All information is handled securely and used only for legitimate recruitment and hiring purposes.
Our Privacy Policy: Your privacy is important to us. Click here to read our general Privacy Statement and click here to read our Applicant Privacy Statement.
 

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