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Senior Llm Developer Jobs in Vermont (NOW HIRING)

ConglomerateIT

Agentic AI Engineer

Georgia, VT · On-site

Mid Senior ConglomerateIT (CGIT) is building out its agentic AI bench to meet surging client demand ... Integrate LLM APIs (OpenAI, Anthropic, Gemini) into reliable, production-grade workflows * Deploy ...

Pwc

US Tech - AI Engineering Senior Associate

Montpelier, VT

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... LLM evaluation frameworks using defined metrics - Working with data scientists and ML engineers ...

Revvity

Sr. Tax Manager (REMOTE)

Montpelier, VT · On-site +1

$134K - $167K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Revvity | About Us Revvity is a developer and provider of end-to-end solutions designed to help ... MST or JD/LLM preferred. * Strong technical knowledge of U.S. international tax regulations ...

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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 the most commonly searched types of Llm Developer jobs in Vermont?

The most popular types of Llm Developer jobs in Vermont are:

What are popular job titles related to Senior Llm Developer jobs in Vermont?

For Senior Llm Developer jobs in Vermont, the most frequently searched job titles are:

What job categories do people searching Senior Llm Developer jobs in Vermont look for?

The top searched job categories for Senior Llm Developer jobs in Vermont are:

Senior Llm Developer jobs near you

Senior Software Engineer | Digital Operations

BETA Technologies

South Burlington, VT • On-site

$123K - $162K/yr

Full-time

Posted 23 days ago

Job description

The Software Engineering team embeds technical and AI capability directly into the business - going where the problems are, working alongside teams to understand their needs, and deploying solutions that make a real difference. As a Senior Software Engineer, you will partner with business teams across BETA to understand complex operational challenges, design and build software solutions, and stay with each engagement until the solution is working and adopted. This role requires equal parts engineering depth and interpersonal skill: you will build trust with non-technical stakeholders, translate ambiguous problems into clear technical designs, and ship high-quality software in a fast-moving environment.

How you will contribute to revolutionizing electric aviation:

  • Embed directly with business teams across BETA to identify, scope, and solve operational and technical problems
  • Design, develop, and deploy full-stack web applications, internal tools, and APIs that address real business needs
  • Leverage AI and LLM technologies to accelerate development and build intelligent workflows for the teams you support
  • Translate complex, ambiguous requirements from non-technical stakeholders into clear technical designs and working solutions
  • Assess technical feasibility of proposed requirements and communicate tradeoffs clearly to stakeholders
  • Contribute to intake and prioritization by surfacing new demand from the teams and products you engage with
  • Maintain technical documentation to facilitate knowledge transfer and long-term adoption of solutions
  • Acknowledge and learn from past mistakes, fostering a culture of continuous improvement

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field
  • 5+ years of professional software engineering experience
  • Proficiency in modern full-stack development (e.g., React/TypeScript and Python or Node.js)
  • Experience with agentic coding tools (e.g., Claude Code, Cursor, Codex)
  • Experience with REST APIs, databases (SQL and/or NoSQL), and cloud platforms (AWS preferred)
  • Experience with version control (Git) and CI/CD pipelines
  • Excellent communication skills with the ability to work directly with non-technical stakeholders
  • Demonstrated ability to operate independently, manage multiple priorities, and adapt rapidly to changing requirements

Above and Beyond Qualifications:

  • Previous experience at a startup or in a fast-paced, resource-constrained environment
  • Experience building internal tools and enterprise applications
  • Experience in aerospace, manufacturing, or a regulated industry
  • Experience with enterprise system integrations (ERP, HRIS, PLM, QMS)
  • Track record of identifying, scoping, and delivering projects with minimal direction

Physical Demands and Work Environment:

  • This role requires the ability to work on-site at BETA facilities as needed to embed with the teams you support. Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.

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