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hatch I.T.

11 - 50 employees

We are a specialty recruiting partner that scales engineering, product, and data teams for innovative and mission-driven technology startups and small businesses.Our flagship program, Scale is a customized Recruitment Process Outsourcing (RPO) hiring solution made for startup tech teams. We also offer Contract-To-Hire and Contingency Hiring, to support the needs of startups at every stage of growth. If you’re a startup or small business looking to grow your technical team, connect with hatch I.T. today: https://www.hatchit.io/hire/

📋 Description

• Design and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support. • Evaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments. • Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems. • Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate. • Design AI orchestration workflows supporting distributed inference across multiple edge devices. • Develop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance. • Implement model monitoring, observability, testing, and automated evaluation frameworks. • Collaborate with software engineers to integrate AI models into production software platforms. • Optimize models using quantization, pruning, distillation deployment technologies. • Support experimentation involving multimodal data sources, sensor-derived features, and structured mission data. • Develop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment. • Document model development, evaluation results, and technical recommendations. • Support customer demonstrations and prototype evaluations.

🎯 Requirements

• Bachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred. • 5-8+ years of professional experience developing production AI or machine learning applications. • Strong Python programming experience. • Experience with PyTorch. • Experience deploying LLMs in production environments. • Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks. • Experience implementing Retrieval-Augmented Generation (RAG). • Experience with vector databases and semantic search. • Experience deploying AI models on edge or resource-constrained devices. • Experience with model optimization techniques including quantization, model compression, or inference acceleration. • Experience designing evaluation frameworks for AI systems. • Experience with Docker and cloud-native AI deployment. • Excellent communication and collaboration skills.

🏖️ Benefits

• 401k matching • PPO and HDHP medical/dental/vision insurance • Education reimbursement up to $10,000/yr • Complimentary life insurance • Generous PTO and 11 days of holiday leave • Onsite gym facility and trainer • Commuter Benefits Plan • In-office Cold Brew Coffee

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