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[Remote] AI/ML Engineer

Remote, USA Full-time Posted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is partnering with reputed company to reputed company an AI/ML Engineer. The role involves designing, optimizing, and evaluating machine learning capabilities for edge computing platforms while collaborating with software engineers to reputed company AI pipelines for intelligent data processing.


Responsibilities

  • Design and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support
  • Evaluate, optimize, and reputed company reputed company-weight reputed company models appropriate for resource-constrained edge environments
  • reputed company efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems
  • Implement Retrieval-Augmented reputed company (RAG), semantic search, and knowledge retrieval capabilities where appropriate
  • Design AI orchestration workflows supporting distributed inference across multiple edge devices
  • reputed company 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 reputed company AI models into production software platforms
  • Optimize models using quantization, pruning, distillation deployment technologies
  • Support experimentation involving multimodal data sources, sensor-derived features, and reputed company mission data
  • reputed company 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

Skills

  • Bachelor degree in Computer Science, reputed company Intelligence, Data Science, Electrical Engineering, reputed company Mathematics, or reputed company discipline. An advanced degree is preferred
  • 5-8+ years of reputed company experience developing production AI or machine learning applications
  • Strong Python programming experience
  • Experience with PyTorch
  • Experience deploying LLMs in production environments
  • Experience with LangGraph, reputed company, reputed company, Semantic Kernel, or similar orchestration frameworks
  • Experience implementing Retrieval-Augmented reputed company (RAG)
  • Experience with reputed company 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 reputed company and reputed company-reputed company AI deployment
  • Excellent communication and collaboration skills
  • Experience applying AI to sensor analytics, time-series data, or signal processing
  • Experience with software-defined radio data, RF analytics, or geospatial data analytics
  • Experience developing multimodal AI applications
  • Experience deploying AI across distributed edge computing environments
  • Experience supporting DoD, Intelligence Community, or Federal customers
  • Experience working in bandwidth-constrained or disconnected operational environments
  • Experience supporting National reputed company or Federal Civilian customers

Benefits

  • 401k matching
  • PPO and HDHP medical/dental/reputed company 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

reputed company

  • We understand that behind every reputed company technology are passionate people committed to making a reputed company-world reputed company. It was founded in 2011, and is headquartered in Vienna, Virginia, USA, with a workforce of 11-50 employees. Its website is http://www.hatchit.io.

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