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Python Llm Jobs in Pembroke, MA (NOW HIRING)

Socket.dev

Principal Scientist Data Science

Cambridge, MA · On-site

$117 - $201/hr

Experience with python LLM tools (e.g., DSPy, LangChain), optimization tools (e.g., pymoo) and ML tools (e.g., Scikit-learn, XGBoost, Optuna, PyMc), * Demonstrated experience and familiarity with ...

Jj

Principal Scientist Data Science

Cambridge, MA · On-site

Experience with python LLM tools (e.g., DSPy, LangChain), optimization tools (e.g., pymoo) and ML tools (e.g., Scikit-learn, XGBoost, Optuna, PyMc), * Demonstrated experience and familiarity with ...

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All JobsPython Llm JobsPython Llm Jobs in Pembroke, MA

Python Llm information

See Pembroke, MA salary details

$13

$60

$89

How much do python llm jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for python llm in Pembroke, MA is $60.90, according to ZipRecruiter salary data. Most workers in this role earn between $50.19 and $69.18 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.

What cities near Pembroke, MA are hiring for Python Llm jobs?

Cities near Pembroke, MA with the most Python Llm job openings:

Python Llm jobs near you
Infographic showing various Python Llm job openings in Pembroke, MA as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $126,673 per year, or $60.9 per hour.

Python Full Stack Engineer

SMART TECH SKILLS LLC

Boston, MA • Remote

Full-time

Posted 6 days ago

Job description

Benefits:
  • Competitive salary

Location
Remote
Experience Level
Mid–Senior Level (4 or more years of experience)
Role Overview
The Python Full Stack Engineer designs, builds, and maintains production-grade web applications end-to-end. This role focuses on developing FastAPI backends, React frontends, and deploying applications on Azure App Services using GitHub CI/CD pipelines. Additionally, the engineer integrates practical AI capabilities—including Azure OpenAI, Azure AI Foundry, LangChain, and prompt engineering—to ship robust features such as Retrieval-Augmented Generation (RAG), smart assistants, and automated tools.
Key Responsibilities

Backend & Frontend Engineering
• Design, build, and maintain scalable backend services and REST APIs in Python using FastAPI, middleware, background tasks, and database integrations.
• Develop and maintain performant, user-friendly, and testable frontend interfaces using React, modern state management, and hooks.
• Apply software engineering best practices, including unit/integration testing, clean architecture, documentation, logging, and performance optimization.
Cloud, DevOps, & Observability
• Deploy, operate, and troubleshoot full-stack web applications on Azure App Services, managing configuration, scaling, and incident response.
• Build and manage automated CI/CD pipelines on GitHub, incorporating automated testing, code quality checks, and deployments.
• Securely integrate core Azure services, including Azure Key Vault, Azure Storage, and Application Insights for observability and monitoring.
AI Integration & Feature Engineering
• Implement practical AI-powered features, smart tools, and assistants using Azure OpenAI and Azure AI Foundry.
• Utilize LangChain or similar frameworks to orchestrate LLM workflows, tools, agents, and Retrieval-Augmented Generation (RAG) patterns.
• Apply structured prompt engineering techniques to ensure reliability, safety, quality, and mitigation of LLM hallucinations.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 4 or more years of professional software engineering experience building and operating production systems.
• Strong Python development capabilities, including typing, packaging, async programming, and clean code organization.
• Solid experience building backend APIs with FastAPI (or similar frameworks), including routing, middleware, authentication, and async I/O.
• Hands-on frontend development experience using React (hooks, state management, API integration, and testing fundamentals).
• Experience deploying and running web applications on Azure App Services or similar PaaS environments.
• Proficiency with Git, GitHub Actions, pull requests, code reviews, and CI/CD pipelines.
• Familiarity with relational or NoSQL database integration within Python backends.
Preferred Qualifications
• Hands-on experience integrating LLMs using Azure OpenAI, Azure AI Foundry, and vector search services (e.g., Azure AI Search).
• Exposure to LangChain or similar frameworks for building LLM workflows, tool-using agents, and RAG architectures.
• Working knowledge of prompt engineering patterns (system prompts, few-shot prompting, structured outputs, and safety guardrails).
• Experience with background task processing frameworks (e.g., Celery, RQ, Azure Functions, or queue systems).
• Experience establishing observability stacks (logging, metrics, tracing) within Azure environments.
• Prior experience in client-facing or consulting technology environments.
Core Skills & Attributes
• Application-first engineering mindset prioritizing clean architecture, maintainability, reliability, and code quality.
• Strong analytical and problem-solving skills to own features end-to-end from technical design through deployment and monitoring.
• Excellent communication and collaborative skills to partner effectively with product, design, and engineering teams.
• Practical approach to evaluating and applying emerging AI capabilities within production software limits.

This is a remote position.