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Professional Llm Developer Jobs (NOW HIRING)

... professional and personal growth, all while valuing your unique contributions. Varian Medical ... AI / LLM Engineering & Agentic Systems * Design, build, and deploy LLM powered applications using ...

We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what ... The Opportunity We're looking for a hands-on ML/LLM Engineer who's excited to ship real-world ...

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Opportunities for professional growth and development in a supportive and collaborative environment.

... LLM API calls into a structured orchestration layer. Build and optimize advanced prompt engineering ... Requirements : * 4+ years of professional full-stack development experience (comfortably operating ...

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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:
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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.
AI LLM Engineer

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Siemens Healthineers rating

8.5

Company rating: 8.5 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 418 rated machine equipment manufacturers


Job description

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.

Varian Medical Systems, a Siemens Healthineers company is hiring for an AI LLM Engineer. This role is ideal for experienced engineers specializing in Applied AI, Large Language Models (LLMs), and intelligent automation, with a strong foundation in data platforms such as Snowflake and modern analytics ecosystems like Power BI/Fabric. The position focuses on designing, building, and operationalizing AI driven solutions, including RAG pipelines, enterprise copilots, and agent based automation frameworks, to transform how the Analytics & Reporting team delivers insights and interacts with data. You will partner with business stakeholders, data engineers, and platform teams to build production grade AI systems that enable natural language interaction, automate complex workflows, and enhance self service analytics at scale. This role is well suited for someone evolving from data engineering, ML engineering, or analytics engineering into AI platform ownership, agentic system design, or enterprise GenAI leadership.
**This role is designed to be onsite in Atlanta, Georgia with some remote/hybrid flexibility*

What You will do:

AI / LLM Engineering & Agentic Systems

  • Design, build, and deploy LLM powered applications using architectures such as Retrieval Augmented Generation (RAG), tool augmented agents, and multi agent workflows
  • Develop AI copilots and natural language interfaces over enterprise data platforms (Snowflake, Power BI datasets, Fabric/OneLake)
  • Build and orchestrate AI agents using frameworks such as:
    • LangChain / LangGraph
    • Semantic Kernel
    • Microsoft Copilot Studio
    • Azure AI Foundry
  • Implement context management strategies (embeddings, vector stores, retrieval optimization, chunking, ranking)
  • Design tool integrations enabling agents to query data, trigger workflows, and interact with enterprise systems
  • Develop evaluation frameworks for prompt performance, answer quality, hallucination mitigation, and reliability
  • Collaborate with platform and governance teams to ensure responsible AI practices, security, and compliance

Applied Machine Learning & Intelligent Automation

  • Build and deploy ML models for forecasting, anomaly detection, and predictive analytics
  • Integrate traditional ML with LLM based systems to enable hybrid intelligence workflows
  • Develop Python based pipelines for model training, evaluation, and deployment
  • Apply prompt engineering, fine tuning strategies, and model orchestration techniques to improve system performance

Data Platform Integration (Snowflake, Fabric, Power BI)

  • Enable AI systems to interact with structured data using optimized SQL queries and semantic models
  • Design AI ready data layers (feature stores, curated datasets, vector indexes) on Snowflake
  • Collaborate with data teams to ensure high quality, well modeled data pipelines that support AI use cases
  • Integrate with Power BI/Fabric to deliver solutions with NL querying and automated insights

Automation & Workflow Orchestration

  • Build intelligent automation using Python, APIs, and orchestration tools
  • Develop agent driven workflows for:
    • Automated reporting
    • Data quality monitoring
    • Stakeholder Q&A and decision support
  • Integrate AI systems with enterprise tools (ServiceNow, Salesforce, etc.) for end to end automation

Collaboration & Communication

  • Work across business, analytics, and engineering teams to identify high impact AI use cases
  • Translate technical AI solutions into clear business outcomes and value propositions
  • Present architecture decisions, tradeoffs, and governance considerations to stakeholders
  • Contribute to best practices, reusable components, and internal AI knowledge sharing

What You will have:

  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related quantitative field
  • 4+ years of experience in AI/ML engineering, data engineering, or advanced analytics roles
  • Proven experience building and deploying at least one GenAI/LLM based solution in production or near production
  • Strong understanding of LLM architectures, RAG, embeddings, vector databases, and prompt engineering
  • Experience designing scalable, production grade systems in enterprise environments
  • Strong problem solving and communication skills with the ability to connect AI solutions to business outcomes

Technical Skills

  • Python (required) with experience in LLM frameworks and ML libraries
  • Deep understanding of RAG pipelines, Prompt Engineering and evaluation, Agent based architectures
  • Experience with Azure Open AI/Azure AI Foundry, Databricks or similar platforms
  • Strong SQL (Snowflake preferred) with query optimization experience
  • Experience integrating AI with structured data systems
  • Familiarity with data modeling, ELT pipelines, and data warehousing concepts
  • Understanding of model deployment, monitoring, and evaluation in production

What will set you apart:

  • Experience building enterprise copilots or conversational AI systems
  • Familiarity with Microsoft Fabric, OneLake, and Direct Lake architectures
  • Experience with Power Automate, Power Apps, or low code integrations
  • Knowledge of multi agent orchestration and workflow design patterns
  • Experience in regulated industries (e.g., healthcare, medical devices) with AI governance considerations

#LS-OS1

Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.

How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

To find out more about Siemens Healthineers businesses, please visit our company page here.

The base pay range for this position is:

$93,680 - $128,810

Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan. life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time.

Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law: Applicants and employees are protected under Federal law from discrimination. To learn more, click here.

Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations.

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form here. If you're unable to complete the form, you can reach out to our HR People Connect People Contact Center for support at peopleconnectvendorsnam.func@siemens-healthineers.com. Please note HR People Connect People Contact Center will not have visibility of your application or interview status.

California Privacy Notice: California residents have the right to receive additional notices about their personal information. To learn more, click here.

Export Control: "A successful candidate must be able to work with controlled technology in accordance with US export control law." "It is Siemens Healthineers' policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations."

Data Privacy: We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started.

Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site.

To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.


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