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Python Llm Jobs in Boston, MA (NOW HIRING)

DATAECONOMY Inc

GenAI/Agentic AI Engineer

Boston, MA · On-site

$140 - $210/hr

Strong expertise in Python programming with specialization using various GenAI and Agentic ... Solid and proven experience in building GenAI and AgenticAI applications using LLM. * Solid ...

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All JobsPython Llm JobsPython Llm Jobs in Boston, MA

Python Llm information

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$63

$93

How much do python llm jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for 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 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 are the most commonly searched types of Python Llm jobs in Boston, MA?

The most popular types of Python Llm jobs in Boston, MA are:

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For Python Llm jobs in Boston, MA, the most frequently searched job titles are:

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

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

Python Llm jobs near you
Infographic showing various Python Llm job openings in Boston, MA as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $132,468 per year, or $63.7 per hour.

AI Engineer - Python/Kotlin/LLMs - Waltham

Motion Recruitment

Waltham, MA • Hybrid

$127K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

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.

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