ZipRecruiter

Log In

1

Llm Developer Jobs in Massachusetts (NOW HIRING)

Agoda

Technical Product Manager, LLM/ML Domain

Boston, MA · On-site

$181K - $209K/yr

Required : • 5+ years of experience in ML engineering, data science, platform engineering, or a ... with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning ...

next page

Showing results 1-20

All JobsLlm Developer JobsLlm Developer Jobs in Massachusetts

Llm Developer information

See Massachusetts salary details

$27

$54

$86

How much do llm developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for llm developer in Massachusetts is $54.79, according to ZipRecruiter salary data. Most workers in this role earn between $43.08 and $66.44 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

What are the most commonly searched types of Llm Developer jobs in Massachusetts?

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

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

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

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

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

What cities in Massachusetts are hiring for Llm Developer jobs?

Cities in Massachusetts with the most Llm Developer job openings:

Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Massachusetts as of August 2026, with employment types broken down into 85% Full Time, 2% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $113,956 per year, or $54.8 per hour.

Machine Learning Engineer (LLM) (Boston)

DeepRec.ai

Boston, MA • On-site

$170K - $200K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Machine Learning Engineer (LLM)

Compensation: $170,000 - $200,000+ (DOE)
Location: Boston or Berkeley, flexible 2-3 days per week in office

We’re working a fast‑growing AI company on a mission to automate complex workflows in the financial services sector, starting with insurance. Their technology leverages cutting‑edge AI to simplify high‑value processes, from multi‑turn conversations to full workflow automation.

As an ML Engineer within LLMs, you’ll be building and scaling advanced AI systems that power intelligent, multi‑agent workflows. You’ll take ownership of designing, fine‑tuning, and productionizing large language models, integrating them with backend systems, and optimizing their performance. You’ll collaborate closely with data science, DevOps, and leadership to shape the AI infrastructure that drives the company’s automation solutions.

What You’ll Do
  • Build, fine‑tune, and productionize large language model (LLM) pipelines, including PEFT, RLHF, and DPO workflows.
  • Develop APIs, data pipelines, and orchestration systems for multi‑agent, multi‑turn AI conversations.
  • Integrate models with backend services, including voice orchestration platforms and transcript generation.
  • Optimize model usage and efficiency, transitioning from external APIs to in‑house solutions.
  • Collaborate cross‑functionally with data scientists, DevOps, and leadership to deliver scalable machine learning solutions.
What We’re Looking For Essential Skills & Experience
  • Strong proficiency in Python and ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch).
  • Hands‑on experience fine‑tuning and training LLMs.
  • Experience with PEFT, DPO, Prefence Optimization, post‑training, supervised fine tuning, RLHF.
  • Familiarity with AWS suite and deploying ML models to production.
  • Ability to reason deeply about ML principles, architectures, and design choices.
  • Knowledge of multi‑agent orchestration and conversational AI systems.
Desirable Skills & Experience
  • Background in voice AI, speech‑to‑text, or text‑to‑speech systems.
  • Exposure to financial services or insurance applications.
  • Familiarity with optimizing models for long‑context scenarios.

For additional information or to apply, please get in touch or apply directly.

Seniority level

Not Applicable

Employment type

Full‑time

Job function

Information Technology

#J-18808-Ljbffr

Apply