
11 - 50 employees
đź Consulting
đŚ Logistics
đŁ Marketing
Consulting ⢠Logistics ⢠Marketing
hatch I. T. is a specialty recruiting partner that focuses on connecting software engineers with innovative and mission-driven technology startups and small businesses. They offer customized Recruitment Process Outsourcing (RPO) solutions, specifically designed for scaling engineering, product, and data teams. In addition to their flagship program 'Scale', hatch I. T. provides Contract-To-Hire and Contingency Hiring services to meet the different hiring needs of startups at various growth stages.
đ July 9
â Washington â Remote
đľ $130k - $170k / year
â° Full Time
đĄ Mid-level
đ Senior
đ¤ AI Engineer
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11 - 50 employees
đź Consulting
đŚ Logistics
đŁ Marketing
Consulting ⢠Logistics ⢠Marketing
hatch I. T. is a specialty recruiting partner that focuses on connecting software engineers with innovative and mission-driven technology startups and small businesses. They offer customized Recruitment Process Outsourcing (RPO) solutions, specifically designed for scaling engineering, product, and data teams. In addition to their flagship program 'Scale', hatch I. T. provides Contract-To-Hire and Contingency Hiring services to meet the different hiring needs of startups at various growth stages.
⢠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.
⢠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.
⢠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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