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AI/ML Engineer – LLM & AI Harness Engineering
WilsonAI/ML Engineer building Python-based LLM, RAG, and agent harnesses for engineering data and workflows at a global technology company. Supporting automation, analysis, and product-development decisions.
Posted 8/15/2026full-timeRemote • Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $125 per hourWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and validating Python-based AI/ML workflows, including model training and validation pipelines, while applying machine learning and deep learning techniques to engineering challenges. Proficient in designing AI-agent architectures and implementing Retrieval-Augmented Generation solutions for effective data processing and decision support.
Highest-signal resume keywords
Python ProgrammingMachine Learning TechniquesDeep Learning TechniquesAI/ML Frameworks (PyTorch, TensorFlow)Retrieval-Augmented Generation (RAG)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python ProgrammingMachine LearningDeep LearningModel TrainingModel ValidationData ProcessingAI Workflow DevelopmentNeural NetworksCNNsLSTM/Recurrent Models
Soft Skills
Analytical SkillsProblem-SolvingCommunication SkillsCollaboration
Tools & Technologies
PyTorchTensorFlowCUDAOllamaLM StudioHugging FaceLangChainJupyter NotebooksNVIDIA EnvironmentsAI/ML Frameworks
Industry Keywords
EngineeringSignal IntegrityMeasurement DataSimulation DataTest DataProduct DevelopmentAI AutomationDecision SupportOpen DatasetsTechnical Data Processing
Tech Stack
Tools & technologiesAWSC++PythonPyTorchTensorflow
About the role
Key responsibilities & impact- Develop and validate Python-based AI/ML and LLM workflows for engineering analysis, technical data processing, automation, and decision support.
- Build model training and validation pipelines using open datasets and engineering datasets such as s-parameters, VNA, simulation, test, and measurement data.
- Apply machine learning and deep learning techniques, including neural networks, CNNs, and LSTM/recurrent models, to engineering challenges.
- Develop LLM workflows for data parsing, summarization, extraction, classification, and structured outputs.
- Design and implement RAG solutions grounded in trusted engineering documents, datasets, and approved knowledge sources.
- Build AI-agent and LLM harness workflows with task routing, tool calling, workflow orchestration, evaluation, and guardrails.
- Develop or integrate custom tools for AI interaction with engineering and technical data sources.
- Collaborate with signal integrity, product development, testing, manufacturing, and operations teams on AI automation and decision support.
- Translate technical requirements into reliable, reusable AI workflows and prototypes.
- Document workflows, assumptions, validation approaches, limitations, and recommended next steps.
- Evaluate AI-generated results, identify risks and limitations, and recommend improvements.
Requirements
What you’ll need- Bachelor's degree in Engineering, Computer Science, Data Science, Applied Mathematics, or a related technical discipline; master's degree is a plus.
- Strong hands-on Python experience for AI/ML development, data processing, model training, validation, and automation.
- Understanding of machine learning and deep learning, including neural networks, CNNs, and LSTM/recurrent architectures.
- Experience with PyTorch, TensorFlow, or equivalent AI/ML frameworks.
- Understanding of GPU-enabled AI/ML development and CUDA, particularly in NVIDIA environments.
- Practical knowledge of Large Language Models and experience with open-source and/or commercial AI models.
- Experience with Ollama, LM Studio, llama.cpp, or equivalent local LLM/model-serving tools.
- Experience with Hugging Face, LangChain, or similar AI/LLM frameworks.
- Strong understanding and implementation experience with Retrieval-Augmented Generation (RAG).
- Ability to design AI-agent/harness architectures incorporating RAG, tool calling, workflow orchestration, evaluation, guardrails, and external data sources.
- Strong analytical and problem-solving abilities focused on validating AI outputs and understanding model limitations.
- Excellent communication skills and ability to explain AI concepts and technical tradeoffs to engineering stakeholders.
- Ability to work independently, learn quickly, and collaborate within a global technical organization.
- Nice-to-have: experience with engineering, signal-integrity, measurement, simulation, test, product-development datasets, AWS AI/data environments, Jupyter notebooks, LLM fine-tuning, model serving, GPU optimization, and related engineering environments.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Wilson Website LinkedIn All Job Openings 1001 - 5000 employees ☁️ SaaS SaaS Wilson is a company referenced only by a short sign-in page snippet: "Welcome to Wilson! Sign-in options Terms of use Privacy & cookies... " The available information indicates Wilson operates a web-based service that requires user authentication and has standard legal and privacy links. There is insufficient detail to identify its products, customers, or vertical focus; the primary observable characteristic is that it is a digital platform or online service. AI/ML Engineer – LLM & AI Harness Engineering Job not on LinkedIn 🔥 10 minutes ago 🔔 Pennsylvania – Remote 💵 $125 / hour ⏰ Full Time 🟡 Mid-level 🟠 Senior 🗣️ LLM Engineer AWS C++ Python PyTorch Tensorflow Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Develop and validate Python-based AI/ML and LLM workflows for engineering analysis, technical data processing, automation, and decision support.
- Build model training and validation pipelines using open datasets and engineering datasets such as s-parameters, VNA, simulation, test, and measurement data.
- Apply machine learning and deep learning techniques, including neural networks, CNNs, and LSTM/recurrent models, to engineering challenges.
- Develop LLM workflows for data parsing, summarization, extraction, classification, and structured outputs.
- Design and implement RAG solutions grounded in trusted engineering documents, datasets, and approved knowledge sources.
- Build AI-agent and LLM harness workflows with task routing, tool calling, workflow orchestration, evaluation, and guardrails.
- Develop or integrate custom tools for AI interaction with engineering and technical data sources.
- Collaborate with signal integrity, product development, testing, manufacturing, and operations teams on AI automation and decision support.
- Translate technical requirements into reliable, reusable AI workflows and prototypes.
- Document workflows, assumptions, validation approaches, limitations, and recommended next steps.
- Evaluate AI-generated results, identify risks and limitations, and recommend improvements. 🎯 Requirements
- Bachelor's degree in Engineering, Computer Science, Data Science, Applied Mathematics, or a related technical discipline; master's degree is a plus.
- Strong hands-on Python experience for AI/ML development, data processing, model training, validation, and automation.
- Understanding of machine learning and deep learning, including neural networks, CNNs, and LSTM/recurrent architectures.
- Experience with PyTorch, TensorFlow, or equivalent AI/ML frameworks.
- Understanding of GPU-enabled AI/ML development and CUDA, particularly in NVIDIA environments.
- Practical knowledge of Large Language Models and experience with open-source and/or commercial AI models.
- Experience with Ollama, LM Studio, llama.cpp, or equivalent local LLM/model-serving tools.
- Experience with Hugging Face, LangChain, or similar AI/LLM frameworks.
- Strong understanding and implementation experience with Retrieval-Augmented Generation (RAG).
- Ability to design AI-agent/harness architectures incorporating RAG, tool calling, workflow orchestration, evaluation, guardrails, and external data sources.
- Strong analytical and problem-solving abilities focused on validating AI outputs and understanding model limitations.
- Excellent communication skills and ability to explain AI concepts and technical tradeoffs to engineering stakeholders.
- Ability to work independently, learn quickly, and collaborate within a global technical organization.
- Nice-to-have: experience with engineering, signal-integrity, measurement, simulation, test, product-development datasets, AWS AI/data environments, Jupyter notebooks, LLM fine-tuning, model serving, GPU optimization, and related engineering environments. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior AI Engineer, LLM, Agents 🔥 7 hours ago MoralesHR 1 - 10 💼 Consulting 🏥 Healthcare 📣 Marketing Website LinkedIn All Job Openings Fictional MoralesHR Senior AI Engineer building an unspecified LLM agent platform. Designing RAG, model fine-tuning, latency, and evaluation systems that do not exist. 🇺🇸 United States – Remote 💵 $247.6k / year ⏰ Full Time 🟠 Senior 🗣️ LLM Engineer Kubernetes PyTorch Senior Principal Software Engineer – Generative AI, Mobile Platforms 🕒 August 1 The Home Depot 10,000+ employees 🏗️ Construction 📦 Logistics 🛒 Retail Website LinkedIn All Job Openings Senior Principal Engineer at The Home Depot leading AI-first mobile development. Overseeing cross-functional teams and architecting modern mobile ecosystems in the United States. 🇺🇸 United States – Remote 💵 $170k - $280k / year 💰 Debt Financing on 2007-07 ⏰ Full Time 🟠 Senior 🗣️ LLM Engineer SDLC Senior MLOps, Generative AI Engineer 🕒 July 31 Sentara Health 10,000+ employees 🏥 Healthcare ⚕️ Healthcare Insurance Website LinkedIn All Job Openings Senior MLOps & Generative AI Engineer developing and optimizing ML infrastructure and Generative AI solutions. Collaborating with cross-functional teams to improve healthcare outcomes and operational excellence. 🇺🇸 United States – Remote 💵 $91.4k - $152.4k / year ⏰ Full Time 🟠 Senior 🗣️ LLM Engineer AWS Azure Cloud Distributed Systems Google Cloud Platform Kubernetes Microservices Python PyTorch Tensorflow Senior AI/LLM Engineer 🕒 July 30 Censys 51 - 200 🔒 Cybersecurity 🏢 Enterprise Website LinkedIn All Job Openings Senior Software Engineer focused on AI and LLMs for Censys, providing internet visibility and intelligence. Enhancing search, recommendations, and automation workflows across the platform. 🇺🇸 United States – Remote 💵 $148k - $201k / year ⏰ Full Time 🟠 Senior 🗣️ LLM Engineer 🦅 H1B Visa Sponsor Python Senior AI Engineer, Conversational AI, Agentic Systems – Voice Required 🕒 July 29 Blooming Health 51 - 200 🏥 Healthcare 🏛️ Government ☁️ SaaS Website LinkedIn All Job Openings AI Engineer with strong voice AI experience designing and building conversational AI systems for healthcare tech company. Collaborating closely with product and engineering teams. 🇺🇸 United States – Remote 💵 $250k - $300k / year 💰 $26M Series A - Blooming Health on 2025-04 ⏰ Full Time 🟠 Senior 🗣️ LLM Engineer ETL Postgres Python SQL View More LLM Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates About us Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs