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Remote Python Llm Jobs in Boston, MA (NOW HIRING)

Lorven Technologies

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

... ML/LLM use cases , and drive best practices for reliability, performance, and cost. What you'll do * Design, build, and maintain batch/streaming pipelines in Python + PySpark on Databricks (Delta ...

Kobie Marketing

AI Engineer

Boston, MA · Remote

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

ICONSTAFF

Backend Engineer/FullStack

Cambridge, MA · On-site +1

$140K - $220K/yr

Production experience with Python and SQL * Familiarity with Git and CI/CD workflows * Excellent ... Exposure to LLM-driven systems (prompt management, caching, streaming) * Experience with Docker;

apiphani

Senior Software Engineer (AI / LLMs)

Boston, MA · Remote

$120K - $160K/yr

Remote | Full-time | Competitive Compensation Apiphani is building the future of intelligent ... Build scalable systems to support LLM-based reasoning, retrieval, and decision-making across cloud ...

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

Implement machine learning algorithms in high-performance C++ and Python with a focus on ... Design and implement AI agents, agentic workflows, and LLM-powered applications. * Deploy and ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

... requirements for LLM training and refinement Key Responsibilities * Collaborate with data ... Strong proficiency in programming languages such as Python, Scala, or Java. * Extensive experience ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

... requirements for LLM training and refinement Key Responsibilities * Collaborate with data ... Strong proficiency in programming languages such as Python, Scala, or Java. * Extensive experience ...

C the Signs

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

... requirements for LLM training and refinement Key Responsibilities * Collaborate with data ... Strong proficiency in programming languages such as Python, Scala, or Java. * Extensive experience ...

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How much do remote python llm jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote python llm in Boston, MA is $63.69, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $72.36 per hour, depending on experience, location, and employer.

What is a remote Python LLM?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

What are the key skills and qualifications needed to thrive as a remote Python LLM engineer?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.

What are some common collaboration methods used by remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

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Remote Python Llm jobs near you

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.