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Python Llm Jobs in Lawrence, MA (NOW HIRING)

RA Capital Management, LLC

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Develop high-quality Python and SQL code for data standardization, reconciliation, and validation. * Partner with AI/ML engineers to enable LLM-powered data access. * Contribute to AI-native data ...

InvoiceCloud

Senior AI Engineer

Boston, MA · Hybrid

$113K - $155K/yr

You'll own implementation of agentic pipelines, ML models, eval frameworks, and LLM integrations end-to-end on Azure using Python and .NET, and use AI-powered development tools like Claude Code and ...

Compunnel

Applied AI Staff Engineer

Burlington, MA · On-site

... AI/LLM systems * Seasoned hands-on coder; still writes production Python regularly * Seasoned system designer for AI systems at scale - retrieval, agents, evaluation, latency, and cost, vector ...

Leader Bank

Full Stack Developer

Arlington, MA · On-site

$60 - $80/hr

The original role summary identifies Vue.js, Python, AWS, AI automation, no-code/low-code ... Foundational understanding of AI and LLM technologies, especially their application in workflow ...

Axon

Senior Machine Learning Scientist

Boston, MA

$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 ...

DataServ / xFact

QA Engineer

North Andover, MA · On-site

$115K - $120K/yr

... LLM-powered features, including how they're tested, measured, and released. You'll ensure the ... Python or JavaScript to increase efficiency and coverage Regression & Release Testing - Run ...

Hasbro

Applied AI Engineer

Boston, MA

Proficiency with major LLM APIs (OpenAI, Google Gemini, Anthropic, or equivalent) and experience making principled decisions between them. * Strong Python skills and comfort working in AWS ...

aPriori Technologies Inc

Senior AI Engineer

Concord, MA · On-site

$114K - $157K/yr

Hands-on familiarity with Prompt Engineering by leveraging LLM frameworks such as LangChain. * Strong programming skills in Python and familiarity with modern data/ML pipelines. * Solid understanding ...

RA Capital Management, LLC

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Develop high-quality Python and SQL code for data standardization, reconciliation, and validation. * Partner with AI/ML engineers to enable LLM-powered data access. * Contribute to AI-native data ...

aPriori Technologies Inc

Senior AI Engineer

Concord, MA · On-site

$114K - $157K/yr

Hands-on familiarity with Prompt Engineering by leveraging LLM frameworks such as LangChain. * Strong programming skills in Python and familiarity with modern data/ML pipelines. * Solid understanding ...

CYNET SYSTEMS

IT Sr Automation Engineer

Boston, MA · Remote

$70 - $90/hr

LLM / AI APIs * RPA Architecture * REST APIs * Github Actions / CI-CD * Jira * Snowflake * Python * C# * Power BI * SharePoint * RAG Pipelines * Azure OpenAI * SAFe Agile Benefits Our Benefits ...

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Python Llm information

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How much do python llm jobs pay per hour?

As of Sep 9, 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?

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.

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Python Llm jobs near you

AI Engineer - Python/Kotlin/LLMs - Waltham

Waltham, MA • Hybrid

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees
Learn more about Motion Recruitmentexternal

$127K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Job Description A growing technology-driven insurance organization is seeking an AI Engineer, Agentic Customer Workflows to help build and scale innovative AI-powered customer experiences. This position is ideal for a backend-focused engineer with strong experience deploying AI and Generative AI solutions in production environments.
In this role, you will design and develop real-time AI systems, integrate LLMs and machine learning models into scalable applications, and deliver production-ready AI capabilities that directly impact customer outcomes. You will partner closely with product and engineering teams while owning AI features throughout the full lifecycle, from development and deployment to monitoring and optimization.
This is not a traditional data engineering position focused on ETL processes or batch data pipelines. Instead, the role centers on backend services, model integration, API development, AI evaluations, and production infrastructure. Required Skills & Experience
  • 4+ years of backend software engineering experience using Python, Go, Java, or similar languages
  • 4+ years of experience integrating machine learning or large language models into production environments
  • Experience building and maintaining APIs, backend services, and microservices
  • Strong understanding of distributed systems, cloud infrastructure, and observability practices
  • Experience implementing monitoring, evaluation, and quality frameworks for AI systems
  • Excellent communication, collaboration, and problem-solving skills
  • Ability to work effectively in a fast-paced and evolving environment
Desired Skills & Experience
  • Experience building Generative AI applications and agentic workflows
  • Hands-on experience with real-time AI platforms and model-serving infrastructure
  • Experience supporting and optimizing AI features after deployment
  • Background collaborating with product and engineering teams on architecture and technical strategy
  • Passion for building scalable, reliable, and customer-focused AI solutions
What You Will Be Doing Daily Responsibilities: 100% Hands-On Engineering
  • Design, build, and optimize backend services, APIs, and microservices that support AI-powered workflows
  • Integrate machine learning and LLM solutions into scalable production systems
  • Own AI-driven features from development through deployment, monitoring, and continuous improvement
  • Build evaluation frameworks to measure and improve LLM quality and performance
  • Troubleshoot issues across AI services, model-serving infrastructure, and backend platforms
  • Collaborate with cross-functional teams on system architecture, technical planning, and product initiatives
  • Enhance system scalability, reliability, observability, and overall performance
The Offer
  • Full-time opportunity
  • Hybrid work schedule with 3 days onsite per week in the Waltham, MA area
  • Base salary: $127,000 - $220,000
  • Annual performance-based incentive opportunity
You will receive the following benefits:
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Flexible Paid Time Off (PTO)
  • 401(k) Plan
  • Parental Leave
  • Life Insurance
  • Disability Coverage
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply