AI/ML Engineer – LLM & AI Harness Engineering

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🔥 0 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $125 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

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Wilson

WebsiteLinkedInAll 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.

📋 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.