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Professional Llm Developer Jobs (NOW HIRING)

Infosys Limited Digital

LLM Development: Prompt engineering, RAG, function calling. * Agent Frameworks: LangChain, Bedrock ... Mentor junior team members, fostering a culture of continuous learning and professional growth.

CBTS

Architect - Network Automation

Cincinnati, OH · On-site +1

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

Pager Health

Applied AI Engineer

$150K - $160K/yr

We're looking for an Applied AI/LLM Engineer to design, build, and ship LLM-powered agents and ... At Pager Health, you will work alongside passionate, talented and mission-driven professionals ...

Pager Health

OR

$150K - $160K/yr

We're looking for an Applied AI/LLM Engineer to design, build, and ship LLM-powered agents and ... professional development, and wellness benefits. Final compensation for this role will be ...

Caltech

Application Developer

Pasadena, CA · On-site

Stay current with the rapidly evolving AI/LLM landscape and advise the team on which new ... A minimum of 3 years of relevant professional experience. * Proficiency in Python, including modern ...

LiteLLM AI Gateway

Developer Evangelist

San Francisco, CA · On-site

$150K - $200K/yr

... give LLM access to a large number of people with SSO (secure sign on) or JWT (JSON Web Tokens ... Ability to work and travel independently with professionalism and high productivity. * Previous ...

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Professional Llm Developer information

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How much do professional llm developer jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for professional llm developer in the United States is $50.17, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $60.82 per hour, depending on experience, location, and employer.

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.
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What cities are hiring for Professional Llm Developer jobs? Cities with the most Professional Llm Developer job openings:
What are the most commonly searched types of Llm Developer jobs? The most popular types of Llm Developer jobs are:
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What job categories do people searching Professional Llm Developer jobs look for? The top searched job categories for Professional Llm Developer jobs are:
Professional Llm Developer jobs near you
Infographic showing various Professional Llm Developer job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 2% Internship, 10% Full Time, 5% Temporary, 79% Contract, and 2% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $104,344 per year, or $50.2 per hour.

Founding Product Engineer (LLM / Fullstack)

Clera

San Francisco, CA • On-site

$90K - $140K/yr

Full-time

Posted 15 days ago

Be an early applicant

Job description

About the Role

An early-stage B2B SaaS startup building an AI-native procurement intelligence platform is looking for a Founding Product Engineer. The company is replacing fragmented, manual procurement workflows at large industrial enterprises with autonomous AI agents that benchmark suppliers, analyse cost drivers, and surface negotiation leverage — turning strategic procurement into a true cognitive function.

You will be one of the earliest engineers on the team, operating with significant scope and direct impact on the product. Enterprise customers are already asking for capabilities faster than the team can ship them — your work will directly shape what gets built and how quickly.

What You'll Do

  • Own features end-to-end: from UX design and frontend implementation through backend services to prompt engineering and LLM integration.

  • Prototype rapidly and iterate based on direct feedback from high-value enterprise users.

  • Design and build sophisticated agent pipelines that feel invisible and intuitive to the end user.

  • Sit close to real users, translating their behaviour and feedback into product experiences that land.

  • Operate across the full stack — frontend, backend, and LLM workflows — wherever the problem takes you.

  • Work in fast cycles with serious scope alongside a small, high-conviction team in Berlin.

What We're Looking For

  • Fullstack TypeScript — strong proficiency is required.

  • Demonstrable ability to work with LLMs: prompting, fine-tuning, and integrating them into real, production-grade products. Evidence through professional work, side projects, or hackathons is valued highly.

  • Strong product taste and creative instincts — you care deeply about what makes a user experience actually work.

  • High agency and outcome-driven mindset — you find a way rather than waiting for permission.

  • Comfort navigating ambiguity: fast prototyping, sharp instincts, and relentless iteration without a playbook.

  • Genuine excitement about working in person with a small team to build something exceptional.

  • All experience levels considered (roughly 1–10 years); mindset, track record, and learning velocity matter most.

Nice to Have

  • Prior experience in B2B SaaS, enterprise tooling, or workflow automation.

  • Exposure to procurement, supply chain, or related industrial domains.

  • Past founding, early-stage startup, or hackathon experience.

Compensation & Benefits

  • Salary: €90,000 – €140,000 per year, depending on experience.

  • Early-stage equity opportunity.

  • Visa sponsorship is not available for this role.

Location

This role is based on-site / hybrid in Berlin, Germany. You should be excited about working in person with the team regularly. Remote-only candidates will not be considered.