AI/ML Engineer

Hatchit; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401k matching

Medical/Dental/Vision insurance

Education reimbursement

Life insurance

PTO & holidays

Onsite gym

Commuter benefits

Cold Brew Coffee

Job summary

Hatchit, in collaboration with Expression, is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine learning capabilities for edge computing platforms.

You will work with software engineers to develop AI pipelines for intelligent data characterization, prioritization, distributed inference, and decision support while operating within constrained compute and bandwidth environments.

Qualifications

• Bachelor's degree in CS/AI/EE or related field; advanced degree preferred.
• 5–8+ years of production AI/ML experience.
• Strong Python programming experience.
• Experience with PyTorch and deploying LLMs in production.
• Experience with RAG, vector databases, semantic search.
• Experience deploying AI models on edge or resource-constrained devices.
• Experience with Docker and cloud-native AI deployment.
• Excellent communication and collaboration skills.

Responsibilities

• Design AI capabilities for data characterization, classification, prioritization, and decision support.
• Evaluate, optimize, and deploy open-weight foundation models for edge environments.
• Develop efficient inference pipelines across embedded to workstation-class systems.
• Implement Retrieval-Augmented Generation (RAG) and semantic search.
• Design AI orchestration workflows for distributed inference across edge devices.
• Develop evaluation methodologies for AI accuracy, latency, resource utilization.
• Implement model monitoring, observability, testing, and automated evaluation frameworks.
• Collaborate with software engineers to integrate AI models into production platforms.
• Optimize models with quantization, pruning, and distillation deployment.
• Support experiments with multimodal data and sensor-derived features.
• Develop AI governance including explainability and secure deployment.

Skills

Python

PyTorch

LLM deployment

Edge AI

RAG

Semantic search

LangGraph

LangChain

Docker

Cloud deployment

Education

Bachelor's degree in CS/AI/EE

Advanced degree preferred

Tools

LangGraph

LangChain

Semantic Kernel

Docker

Kubernetes

Job description

hatch I.T. is partnering with Expression to find an AI/ML Engineer. See details below:

About The Role

Expression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely with software engineers, you will develop AI pipelines that enable intelligent signal characterization, data prioritization, distributed inference, and decision support while operating within constrained compute, bandwidth, and communications environments.

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems.

Security Clearance

Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)

Responsibilities

• 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.

Qualifications

• 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.

Additional Qualifications

• 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 Security or Federal Civilian customers.

Benefits

Expression offers competitive salaries and benefits, such as:

• 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