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Python Llm Jobs in Lawrence, MA (NOW HIRING)

DeepRec.ai

Machine Learning Engineer (LLM)

Boston, MA · On-site

$170K - $200K/yr

Machine Learning Engineer (LLM) Compensation: $170,000 - $200,000+ (DOE) Location: Boston or ... Strong proficiency in Python and ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch)

Lorvenk Technologies LLC

AI Engineer

Boston, MA

The ideal candidate has strong experience with a modern AI/ML stack, including a profound Python experience, including AI relevant packages and tools, LLM architectures and frameworks, RAG, MCP ...

Lorvenk Technologies LLC

AI Engineer

Boston, MA

The ideal candidate has strong experience with a modern AI/ML stack, including a profound Python experience, including AI relevant packages and tools, LLM architectures and frameworks, RAG, MCP ...

Chewy

Software Engineer II - Python

Boston, MA · On-site

$120K - $190K/yr

Leverage AI developer tools and LLM-assisted workflows to accelerate development, testing, and ... Write clean, maintainable Python code and contribute to CI/CD pipelines, automated testing, and ...

Pwc

GenAI Python Systems Engineer-Manager

Boston, MA · On-site

$99K - $232K/yr

... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS ...

Red Hat

Senior Software Engineer, AI Inference

Boston, MA · On-site +1

$133K - $220K/yr

... LLM deployments. We are seeking an experienced Senior Software Engineer to build and release the ... Strong Python development skills with experience building well-tested, maintainable tooling and ...

Redhat

Senior Software Engineer, AI Inference

Boston, MA · On-site +1

$133K - $220K/yr

... LLM deployments. We are seeking an experienced Senior Software Engineer to build and release the ... Strong Python development skills with experience building well-tested, maintainable tooling and ...

Globalchannelmanagement

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure ... Python, Azure Machine Learning, or related AI/ML tooling. * Experience with MLOps/LLMOps ecosystems ...

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How much do python llm jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python llm in Lawrence, MA is $61.50, according to ZipRecruiter salary data. Most workers in this role earn between $50.67 and $69.86 per hour, depending on experience, location, and employer.

What is a Python LLM job?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python Llm position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM Engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are popular job titles related to Python Llm jobs in Lawrence, MA? For Python Llm jobs in Lawrence, MA, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Lawrence, MA look for? The top searched job categories for Python Llm jobs in Lawrence, MA are:
What cities near Lawrence, MA are hiring for Python Llm jobs? Cities near Lawrence, MA with the most Python Llm job openings:
Python Llm jobs near you
Infographic showing various Python Llm job openings in Lawrence, MA as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $127,923 per year, or $61.5 per hour.

Machine Learning Engineer (LLM)

DeepRec.ai

Boston, MA • On-site

$170K - $200K/yr

Full-time

This job post has expired today. 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

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