AI/ML Engineer

Job not on LinkedIn

🕒 Yesterday

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of hatch I.T.

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

Apply Now

Similar Jobs

🕒 Yesterday

NICE

5001 - 10000

☁️ SaaS

🤖 Artificial Intelligence

📡 Telecommunications

Technical support engineer for enterprise SaaS and cloud technologies. Defining customer relationships and leveraging AI to drive outcomes for enterprise customers.

Cloud

ServiceNow

🕒 Yesterday

Life360

201 - 500

👥 B2C

📡 Telecommunications

Senior IAM Engineer II for Life360 managing enterprise identity platform with focus on automation and governance. Building IAM solutions that enhance security for nearly 100 million users.

Cloud

Python

Terraform

Go

🕒 Yesterday

Clear Street

201 - 500

Senior AI Model Engineer ensuring reliability and quality in an AI copilot for trading platform. Collaborating with engineering and product teams to maintain benchmarks and evaluation systems.

🕒 Yesterday

Climb Channel Solutions NA

51 - 200

🔌 API

🔒 Cybersecurity

☁️ SaaS

Senior Software Engineer at Delinea developing AI security features for their access proxy product. Collaborating with teams to integrate functionalities into the Delinea platform while ensuring customer stability.

Java

Rust

Go

🕒 Yesterday

Climb Channel Solutions NA

51 - 200

🔌 API

🔒 Cybersecurity

☁️ SaaS

Senior Software Engineer developing AI agent discovery and posture assessment for identity security. Collaborate with platform teams across cloud environments for robust security solutions.

AWS

Azure

Cloud

Java

Python

Go