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Senior Llm Developer Jobs in Wisconsin (NOW HIRING)

WI ยท On-site

$135 - $195/hr

We're NSF-supported, bootstrapped, and built by a close-knit remote team of senior engineers. We're ... LMS integrations * LLM-powered features, from prompt architecture to auto-grading to eval ...

WI ยท On-site

$140 - $190/hr

Senior Data Scientist - Applied AI, NLP, and LLM Solutions Note: Fidelity will not provide ... Strong Python and SQL programming skills with demonstrated proficiency in data extraction, data ...

Senior Software Engineer

Madison, WI ยท 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 ยท 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

Milwaukee, WI ยท 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 ยท 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 AI Engineer

Milwaukee, WI

$120K - $159K/yr

In the Senior AI 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

$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 ยท 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 AI Engineer

Milwaukee, WI ยท On-site

$120K - $159K/yr

In the Senior AI 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 ยท 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 ...

WI ยท On-site

$130 - $190/hr

As a Senior AI Engineer , you take the lead in designing, building, and deploying AI solutions that ... Practical work with RAG architectures, LLM orchestration, and agentic frameworks. * A strong ...

Sr. Engineer, AI Platform

Madison, WI ยท On-site

$99 - $199/hr

Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth ...

Sr. Engineer, AI Platform

Madison, WI ยท On-site

$99K - $198K/yr

Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth ...

WI ยท On-site

$113 - $170/hr

Senior Quality Engineer, Cybersecurity The Senior Quality Engineer, Cybersecurity is a hands-on ... Supports post-market cybersecurity surveillance activities for SaMD and LLM-enabled products ...

Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth ...

Showing results 21-40

Senior Llm Developer information

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 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 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 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 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, remote

Neura Market

WI โ€ข On-site

$135 - $195/hr

Other

Retirement, PTO

Posted 12 days ago


Job description

Headquarters: Austin, TX URL: https://edfinity.com

About Edfinity

Edfinity is the category leader in courseware and assessment technology for higher-ed STEM. We're NSF-supported, bootstrapped, and built by a close-knit remote team of senior engineers. We're growing fast and leading the field in AI-powered courseware that moves the needle on educator productivity and student outcomes. Your work will reach hundreds of institutions, and you will help decide how it gets built.

How we work
  • We're fully remote, with team members distributed across the US, and with that comes personal flexibility and accountability.
  • AI agents produce most of our code. We move fast, but we temper velocity with quality and stability above all else.
  • Engineers frame the problems, direct the work, and are accountable for everything that ships. If you already work this way and have opinions about it, you'll feel at home.
  • Everyone has opportunities to work across different areas of the platform, and team members are expected to develop deep technical expertise over time. This is particularly important as we step away from hands-on coding.
  • We're a small team of collaborative senior engineers. Your opinion matters.
  • The pace of change is real. More than ever, we're continually evolving our tooling and workflows as LLMs become more capable.
What youโ€™ll be doing

Our stack is Ruby on Rails, MongoDB, Elasticearch, ClickHouse, Redis/Sidekiq, and React.

  • Full-stack product development in areas like assessment authoring, delivery, and grading; educator and student-facing features; LMS integrations
  • LLM-powered features, from prompt architecture to auto-grading to eval infrastructure
  • Performance optimization and reliability refactoring to handle both day-to-day load and high-stakes spikes
  • Stewardship of a mature codebase: upgrades, migrations, and paying down technical debt methodically
  • Part-time technical support rotation. Customer happiness is extremely important to us.
What you'll need
  • 8-15 years building and running scalable production web applications and services
  • Deep experience with Rails
  • Experience with web front-ends such as React
  • Recent experience in an SDLC revolving around the use of AI agents
  • Strong CS fundamentals in systems, data modeling, and complexity
  • Excellent communication hygiene, collaborative skills, and strong sense of self-direction.
  • Interest in a long-term seat on a close-knit team.
  • Authorization to work in the United States. We are not able to sponsor or transfer work visas at this time.
Compensation

$135,000-$195,000, plus eligibility for an annual discretionary bonus, retirement plan, and PTO

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