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Senior Llm Developer Jobs in Wisconsin (NOW HIRING)

Senior Software Engineer

Milwaukee, WI · On-site +1

$120K - $158K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... LLM APIs and prompt-driven workflows * Knowledge of data pipeline architecture, data APIs, and ...

Senior Software Engineer

Madison, WI · On-site +1

$123K - $162K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... LLM APIs and prompt-driven workflows * Knowledge of data pipeline architecture, data APIs, and ...

Senior Software Engineer

Milwaukee, WI · On-site +1

$120K - $158K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... LLM APIs and prompt-driven workflows * Knowledge of data pipeline architecture, data APIs, and ...

Senior Software Engineer

Madison, WI · On-site +1

$123K - $162K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... LLM APIs and prompt-driven workflows * Knowledge of data pipeline architecture, data APIs, and ...

Senior Software Engineer

Milwaukee, WI · On-site

$100 - $130/hr

In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and ... Drive adoption of AI-powered engineering tools (e.g., LLM-augmented IDEs, automation frameworks) to ...

Senior Software Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and ... Drive adoption of AI-powered engineering tools (e.g., LLM-augmented IDEs, automation frameworks) to ...

Senior Software Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and ... Drive adoption of AI-powered engineering tools (e.g., LLM-augmented IDEs, automation frameworks) to ...

WI · On-site

$150 - $230/hr

... senior group move at a pace well beyond traditional engineering throughput. That's how this team ... Architect and build production AI agent systems on top of modern LLM APIs, agent SDKs, and ...

New

Sr Mechatronics Engineer

Wauwatosa, WI · On-site

$109K - $159K/yr

Auto req ID: 53318 Title: Sr Mechatronics Engineer Job Function: Engineering Location: PDC ... AI and LLM solution development and implementation * Automotive mechatronic systems, including ...

Sr Mechatronics Engineer

Wauwatosa, WI · On-site

$109K - $159K/yr

Auto req ID: 53318 Title: Sr Mechatronics Engineer Job Function: Engineering Location: PDC ... AI and LLM solution development and implementation * Automotive mechatronic systems, including ...

Auto req ID: 53318 Title: Sr Mechatronics Engineer Job Function: Engineering Location: PDC ... AI and LLM solution development and implementation * Automotive mechatronic systems, including ...

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data ... Exposure to AI/LLM integration patterns including Retrieval-Augmented Generation (RAG). * Supply ...

Showing results 21-40

Senior Llm Developer information

What are the key skills and qualifications needed to thrive as a senior LLM developer?

To thrive as a Senior LLM Developer, you need deep expertise in natural language processing, machine learning, and advanced programming skills, typically supported by a relevant degree and experience with large language models. Proficiency with frameworks like PyTorch or TensorFlow, cloud platforms (AWS, GCP, Azure), and version control systems, as well as familiarity with model fine-tuning and deployment, are essential. Strong problem-solving, communication, and collaboration skills help in leading teams and translating complex requirements into innovative solutions. These skills are crucial for building, optimizing, and maintaining robust language models that meet organizational objectives and stay ahead in a rapidly evolving field.

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

AspectSenior Llm DeveloperMachine Learning Engineer
CredentialsAdvanced degrees in CS, NLP, or AI; experience with LLMsDegrees in CS, Data Science, or related fields; experience with ML frameworks
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLPTech companies, startups, industries applying ML solutions
Industry UsagePrimarily in NLP, AI research, and language model developmentBroader across AI applications, including vision, speech, and data analysis

While both roles require strong AI and ML knowledge, Senior Llm Developers specialize in language models and NLP, whereas Machine Learning Engineers work across various AI domains. The roles often overlap but differ in focus and application areas.

What are some common challenges senior LLM developers face when deploying large language models in production environments?

Senior LLM Developers often encounter challenges such as optimizing model performance for latency and scalability while maintaining accuracy. Managing resource-intensive inference and ensuring robust monitoring to detect issues like model drift or biased outputs are also key concerns. Additionally, integrating LLMs with existing systems and coordinating with cross-functional teams, such as MLOps engineers and product managers, is essential for successful deployment. Staying updated with rapidly evolving frameworks and compliance requirements adds to the complexity of the role.

What is a senior LLM developer?

Senior LLM Developers are experienced software engineers who specialize in building, fine-tuning, and deploying large language models (LLMs) such as GPT, BERT, or similar AI models. They work on advanced natural language processing (NLP) tasks, optimize model performance, and often lead teams in developing AI-driven applications. Their responsibilities include data pipeline development, model training, performance evaluation, and integrating LLMs into products. They are proficient in programming languages like Python, familiar with machine learning frameworks, and stay updated with the latest research in AI and NLP.
What are popular job titles related to Senior Llm Developer jobs in Wisconsin? For Senior Llm Developer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Senior Llm Developer jobs in Wisconsin look for? The top searched job categories for Senior Llm Developer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Senior Llm Developer jobs? Cities in Wisconsin with the most Senior Llm Developer job openings:

Senior Software Engineer - Generative AI

Acuity Insurance

Sheboygan, WI

$132K - $167K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Acuity is seeking a Senior Software Engineer to design, build, and maintain production-ready Generative AI capabilities within existing applications and platforms. This role emphasizes delivering secure, scalable, and user-focused AI solutions using managed services and APIs, collaborating closely with engineers, architects, and business partners to deliver reliable, enterprise-aligned functionality. You will also troubleshoot production issues, refine AI orchestration logic, contribute technical guidance on AI platforms and access approaches, and mentor team members to support best practices, learning, and technical excellence.
 
Acuity will include at least one in-person interview during the hiring process for all positions.
 
ESSENTIAL FUNCTIONS:
  • Partner with business analysts, engineers, and stakeholders to understand business challenges and design strong AI solutions, including LLM based and agentic systems.
  • Demonstrate professionalism and integrity while serving as a role model for engineers and promoting a culture of excellence and curiosity.
  • Lead planning and scoping of AI projects, providing input on timelines, model selection, infrastructure, and deliverables.
  • Develop and enhance AI applications including RAG pipelines, model evaluation frameworks, and agent orchestrations.
  • Write clean, scalable, and maintainable code that supports high performing AI systems and meets reliability expectations.
  • Demonstrate expert understanding of data ecosystems and how they support AI workflows including data vectorization, retrieval, and context routing.
  • Perform testing, debugging, and output validation to ensure AI responses are accurate, safe, and aligned with business logic.
  • Produce and maintain clear technical documentation including integration specs, system diagrams, integration guides, and operational runbooks.
  • Identify and correct inefficiencies in code, architecture, prompts, data flows, and model parameter tuning.
  • Mentor other engineers in AI best practices, model behavior, prompt design, and responsible AI principles.
  • Perform code reviews and provide recommendations for accuracy, performance, and adherence to AI safety guidelines.
  • Direct and manage AI projects from initiation through delivery including model selection, benchmarking, deployment, and monitoring.
  • Identify and develop solutions for highly complex AI integration challenges like prompt chaining, retrieval design, agent coordination, and enterprise scale integrations.
  • Understand the architecture of the applications and AI systems you contribute to and ensure new development aligns with strategic patterns.
  • Stay current with AI industry trends/tooling and best practices including breakthroughs in LLMs, agents, and model safety.
  • Participate in regular attendance and complete mandatory training programs as assigned by Acuity.
  • Perform other duties as assigned.

EDUCATION:

Bachelor’s degree or equivalent combination of education and experience in software engineering, computer science, or related field.

EXPERIENCE:

A software engineer with 5 or more years of experience in software engineering, including experience integrating AI capabilities into production applications using external services or APIs.

    OTHER QUALIFICATIONS: 

    • Expertise across a wide range of tools and technologies, including.
      • Programming languages such as Java, Python, and JavaScript.
      • Relational and non-relational databases including Db2, PostgreSQL, SQL Server, and vector databases.
      • Familiarity with web UI frameworks such as Vue, React, or Angular.
      • Knowledge of software development workflows, CI/CD pipelines and version control tools.
      • AI and Gen AI technologies including LLMs, Retrieval-Augmented Generation (RAG), standardized model connection protocols, agent frameworks, and prompt engineering.
      • Experience with AI Orchestration frameworks, like LangChain, to connect LLMs to data.
      • Familiarity with AI Observability tools to monitor and debug AI responses.
      • Understanding API Management, including rate limiting, latency, and token cost optimization.
      • Experience with cloud platforms including Azure, IBM, GCP, or AWS for AI services.
    • Ability to analyze user requirements, define technical specifications, estimate work, and deliver high quality solutions.
    • Strong analytical thinking with the ability to break down complex problems and apply practical AI driven approaches.
    • Strong communication skills and ability to work with cross functional teams.
    • Excellence in documentation, testing practices, and operational reliability.
    • Ability to stay current with AI advancements, LLM research, and evolving best practices.
    • Passion for building reliable, safe, and impactful Generative AI systems.

        *Acuity does not sponsor applicants for U.S. work authorization.*

        This job is classified as exempt.

        The salary range for this position is $132,800 - $167,800 annually. This salary range is an estimate and the actual salary will vary based on applicant’s education, experience, knowledge, skills, and abilities.

        For this role, Acuity offers a comprehensive benefits package, including a generous 401(k) contribution, medical, dental, vision, life and disability insurance, paid time off, an Employee Assistance Program, and more. A full description of benefits and eligibility will be provided to candidates during the hiring process. 

        We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved. 

        Acuity will include at least one in-person interview during the hiring process for all positions. 

        If you have a disability and require reasonable accommodations to apply or during the interview process, including for in-person interviews, please contact our Talent Acquisition team at careers@acuity.com. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.