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Python Llm Jobs in Lawrence, MA (NOW HIRING)

Alsym Energy

Machine Learning Engineer (Malden)

Malden, MA · On-site

$130K - $215K/yr

Strong programming skills in Python and knowledge of software development best practices. * Agentic Frameworks: Expertise in LLM frameworks (Ollama, HuggingFace Transformers) and Agent‑building ...

State Street Corporation

AI Developer, AVP

Burlington, MA · On-site

$54.75 - $75.25/hr

Build and integrate LLM-based solutions using orchestration frameworks and tool-calling patterns ... Proficiency in Python and at least one additional language (Java, C#, or TypeScript) * Experience ...

Axon

Senior Machine Learning Scientist

Boston, MA · 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 ...

Merck Group

Staff Software Engineer

Burlington, MA · On-site

$110K - $185K/yr

At least 5 years of software engineering experience, with deep recent time leading production AI/LLM systems * Proven expertise in Python and ML frameworks (MLFlow, TensorFlow, PyTorch, Scikit- learn ...

SevenAI

Senior AI Engineer

Boston, MA · On-site

$150K - $230K/yr

Shipped LLM applications in production, not just prototypes, using large models in ways that meaningfully mattered to the product. * Strong coding skills in Python (or equivalent), with experience in ...

Humana

Senior AI Software Engineer

Boston, MA · On-site

$133K - $175K/yr

Build and maintain LLM-powered features including retrieval-augmented generation systems ... Build Python or Typescript based backend services that expose AI capabilities to product and ...

apiphani

Senior Software Engineer (AI / LLMs)

Boston, MA · Remote

$120K - $160K/yr

Develop APIs and orchestration layers in Python and TypeScript , integrating LLMs, vector databases, and observability pipelines * Build scalable systems to support LLM-based reasoning, retrieval ...

Humana

Senior AI Software Engineer

Boston, MA · On-site

$133K - $175K/yr

Build and maintain LLM-powered features including retrieval-augmented generation systems ... Build Python or Typescript based backend services that expose AI capabilities to product and ...

Humana

Senior AI Software Engineer

Boston, MA · On-site

$133K - $175K/yr

Build and maintain LLM-powered features including retrieval-augmented generation systems ... Build Python or Typescript based backend services that expose AI capabilities to product and ...

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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

Machine Learning Engineer (Malden)

Malden, MA • On-site

Alsym Energy
See more jobs at Alsym Energyexternal

$130K - $215K/yr

Full-time

Re-posted 7 days ago

Key responsibilities

  • Design, implement, and formalize scalable agent architectures that incorporate structured prompting and advanced tool‑use.

  • Create LLM Agents to autonomously retrieve proprietary scientific data, perform statistical analysis, and produce clear reports.

  • Collaborate with domain experts to understand data structures, define analysis requirements, and ensure statistical rigor in agent outputs.

Job description

This range is provided by Alsym Energy. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $215,000.00/yr

Direct message the job poster from Alsym Energy

Alsym Energy is seeking a Machine Learning Scientist or Engineer to design, build, and deploy agentic AI systems that actively support scientific discovery. This role focuses on developing LLM-based agents that can autonomously retrieve proprietary experimental and simulation data, perform statistically rigorous analyses, and generate clear, traceable reports for internal scientific teams. This position sits within the Discovery, and Early Prototyping (DEP) organization and works closely with domain experts in materials science, chemistry, and energy systems. The goal is not to build a generic chatbot, but to create reliable, production-grade agents that integrate knowledge across internal data silos and materially improve how scientists reason about data. Success in this role is measured by the delivery of production-ready agentic systems actively used by scientists for data analysis and decision-making.

Core Responsibilities
  • Infrastructure Development: Design, implement, and formalize scalable agent architectures, incorporating structured prompting and advanced tool‑use (tool‑augmented reasoning).
  • Agent Development: Create LLM Agents specifically engineered to:
  • Autonomously retrieve proprietary scientific data from diverse internal systems and formats (e.g., experimental, simulation).
  • Perform relevant statistical analysis on retrieved data.
  • Produce clear, actionable reports for internal users.
  • Domain‑Expert Interaction: Collaborate with domain experts in materials science to understand data structure, define analysis requirements, and ensure statistical rigor in Agent outputs.
Required Qualifications
  • Education: Master’s or PhD in Computer Science, Machine Learning, AI, Engineering, or a related scientific field, or equivalent research/industry experience.
  • Programming: Strong programming skills in Python and knowledge of software development best practices.
  • Agentic Frameworks: Expertise in LLM frameworks (Ollama, HuggingFace Transformers) and Agent‑building toolkits (LangChain, LlamaIndex, or similar).
  • Agentic Reasoning: Proficiency in advanced LLM reasoning methods, including Chain‑of‑Thought, self‑reflection, and advanced tool‑augmented reasoning.
  • Data & Statistics: Proven ability to access, process, and perform rigorous statistical analysis on complex, proprietary scientific datasets.
  • Self‑starter and energetic.
Preferred Qualifications
  • Research experience in causal reasoning, probabilistic programming, or symbolic AI.
  • Familiarity with scientific discovery pipelines in chemistry, materials science, or energy research.
  • Experience with multimodal reasoning (combining text, image, and experimental data).
  • Practical experience in delivering and maintaining production‑ready ML/Agentic systems.
Industry Background

Alsym Energy, Inc is a leading innovator in the rapidly changing field of battery energy storage. It is essential for the world to succeed in the transition to sustainable energy and batteries are at the very core of the solution. In fact, the IEA predicts that 60% of CO₂ emission reductions in 2030 will be directly related to batteries. This mission is what drives us every day. Over the last few years, supply‑chain constraints and significant safety incidents arising from lithium‑ion batteries have reduced confidence in the suitability of the technology. Alsym’s advanced sodium ion technology enables the highest performing non‑lithium‑ion battery in the industry, based on its safe, sustainable and long‑lasting energy storage solution.

Seniority level

Mid‑Senior level

Employment type

Full‑time

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