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Python Llm Jobs in Lawrence, MA (NOW HIRING)

Senior AI Engineer

Boston, MA ยท On-site

$113K - $155K/yr

Experienced in building real LLM applications - you've shipped systems that use large models meaningfully. * Strong software engineering skills - Python/TypeScript, API design, backend integration ...

This person will work in a Python-first monorepo that powers communications capture, compliance ... Contribute to AI-native product surfaces including LLM classification, agent runs, investigator ...

Senior Machine Learning Scientist

Boston, MA ยท On-site

$99K - $135K/yr

... LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals. * Strong proficiency in programming languages such as Python, C/C ...

This person will work in a Python-first monorepo that powers communications capture, compliance ... Contribute to AI-native product surfaces including LLM classification, agent runs, investigator ...

... Python or JavaScript to increase efficiency and coverage. * Regression & Release Testing - Run ... AI & LLM Evaluation * Evaluation Planning - Partner with Product Managers and Data Scientists to ...

Design and build LLM-powered applications: Architect and develop production-grade systems ... Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or ...

... Python or JavaScript to increase efficiency and coverage. * Regression & Release Testing - Run ... AI & LLM Evaluation * Evaluation Planning - Partner with Product Managers and Data Scientists to ...

Experience building AI/ML solutions-such as agentic applications, LLM inference, similarity search, vector databases, guardrails, or memory systems. * Strong coding skills in Python or other ...

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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:
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.
Staff / Principal Engineer

Staff / Principal Engineer

Newfire Global Partners

Boston, MA โ€ข On-site, Remote

$163K - $185K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 22 days ago


Job description

Staff / Principal Engineer
Department: Advisory
Employment Type: Full Time
Location: US
Compensation: $163,547 - $185,000 / year
Description
Newfire Global Partners is a leading technology firm that specializes in building transformative software solutions for some of the world's most innovative companies. With a presence across four continents, Newfire Global brings deep expertise in digital healthcare, AI-driven analytics, and enterprise technology. The firm's track record of delivering scalable, high-impact solutions has made it a trusted partner for organizations seeking to drive meaningful change through technology.
We are passionate about the purpose-driven mission to help improve the quality of care for patients and are building a collaborative, innovative, and inclusive culture. We are a fully funded company founded by serial entrepreneurs with a stable client base.
Opportunity for impact
Newfire Global Partners, a leader in developing disruptive healthcare technology, collaborates with Fortune 500 companies and start-ups to drive transformation.
We are seeking an exceptional Staff or Principal Engineer to join our client's engineering leadership team. This is a senior individual contributor role for a technologist who thrives at the intersection of modern software engineering and artificial intelligence. The ideal candidate will bring deep full-stack expertise across C#, React, and Python, paired with a demonstrated ability to lead and champion AI-assisted development practices-spanning LLM integration, MLOps, prompt engineering, and AI-powered product features. Based in the US with a strong preference for East Coast availability, this engineer will set the technical direction for how AI amplifies our engineering teams and shapes our healthcare platform
Role & responsibilities
โ€ข Serve as a technical leader and trusted authority on AI-assisted engineering, driving adoption of Copilot, code generation, and LLM-powered tooling across the engineering organization.
โ€ข Architect and deliver AI-powered product features that improve healthcare outcomes-spanning intelligent automation, clinical decision support, and member-facing experiences.
โ€ข Design and implement LLM workflows and prompt engineering patterns, ensuring reliable, safe, and scalable AI integrations in production environments.
โ€ข Lead MLOps initiatives including model deployment pipelines, monitoring, versioning, and lifecycle management in collaboration with data science teams.
โ€ข Build and maintain full-stack solutions using C# (.NET), React, and Python, with a strong focus on scalability, security, and maintainability.
โ€ข Define and evangelize engineering best practices for AI integration, code quality, and system design across Staff and Senior engineers.
โ€ข Collaborate with product, data, and clinical teams to identify high-impact opportunities for AI and machine learning in the healthcare domain.
โ€ข Conduct design reviews, architecture discussions, and hands-on code reviews to raise the technical bar across the organization.
โ€ข Mentor and grow senior engineers, fostering a culture of experimentation, ownership, and continuous learning.
โ€ข Stay at the forefront of rapidly evolving AI/ML tooling, evaluating and recommending emerging technologies relevant to the client
You're a Perfect Match If You Have:
โ€ข Deep proficiency in C# and .NET - including API design, microservices architecture, and enterprise-grade backend systems.
โ€ข Strong hands-on experience with React and modern front-end development patterns (TypeScript, component architecture, state management).
โ€ข Solid Python skills with practical experience in scripting, automation, data pipelines, or ML model integration.
โ€ข Proven experience integrating LLMs (e.g., OpenAI, Azure OpenAI, Anthropic) into production applications via APIs, SDKs, or orchestration frameworks such as LangChain or Semantic Kernel.
โ€ข Strong understanding of prompt engineering principles, RAG (Retrieval-Augmented Generation) patterns, and LLM evaluation strategies.
โ€ข Hands-on experience with MLOps tooling and practices - model versioning, deployment, monitoring, and retraining pipelines.
โ€ข Experience with AI-assisted development tools such as GitHub Copilot, Cursor, or equivalent, with the ability to coach teams on effective usage.
โ€ข Solid understanding of cloud infrastructure (Azure preferred) and how to architect scalable, secure AI-integrated systems.
โ€ข Strong command of software design principles - SOLID, clean architecture, domain-driven design, and API-first development.
โ€ข Experience with CI/CD pipelines, infrastructure as code, and DevOps practices in a cloud-native environment.
Optional / Plus
โ€ข Experience in healthcare technology, including knowledge of HL7, FHIR, or clinical data standards.
โ€ข Familiarity with vector databases (e.g., Pinecone, Weaviate, Azure AI Search) for embedding-based retrieval systems.
โ€ข Exposure to fine-tuning or customizing foundation models for domain-specific use cases.
โ€ข Knowledge of responsible AI practices, model explainability, and bias mitigation in healthcare contexts.
โ€ข Experience with data platforms such as Databricks, Snowflake, or Azure Synapse.
The Offer
Newfire Global is committed to consistent compensation practices across our organization. Total compensation for this role is market driven, with a salary of $163,547 - $185,000. Base pay is ultimately determined based on a candidate's skills, expertise, and experience. We also offer a comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, Employee Assistance Program, 401(k) program with employer contribution, Flexible work schedules and time-off policy, as well as company equipment for all new full-time US-based remote employees.
Offers are contingent upon successful completion of a background screening. Background screenings will be conducted in compliance with applicable laws and will not be initiated without your consent.
Newfire Global is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.