AI Engineer

About the Role

We are growing our engineering team and looking for experienced AI Engineers to design, deploy, and optimize production-grade ML, GenAI, and Agentic AI solutions across hybrid public and private cloud environments.

What You’ll Do

You’ll lead and implement projects across the full AI lifecycle, from architecture and model development to deployment and monitoring. Working closely with product, ops, data science, and business stakeholders, you’ll help build secure, scalable, and intelligent systems that power real-world GenAI applications.

Responsibilities

• Build Agentic AI systems using LangChain, LangGraph, or equivalent frameworks
• Develop and deploy large-scale ML and GenAI applications using PyTorch, Hugging Face, and related tools
• Design and implement Retrieval-Augmented Generation (RAG), Tool-Augmented Generation (TAG), and vector search pipelines
• Architect scalable, cloud-native AI infrastructure using Kubernetes and CNCF components
• Write secure, maintainable Python code and build REST APIs for structured and unstructured data access
• Orchestrate model workflows using Airflow or similar tools
• Contribute to MLOps, LLMOps, and DataOps pipelines for full lifecycle model and data management
• Work with open data Lakehouse platforms
• Apply performance optimization techniques such as Flash Attention, CUDA tuning, and concurrency
• Implement observability and monitoring with Prometheus, Grafana, and custom metrics
• Promote best practices for AI governance, including privacy, security, and model interpretability
• Collaborate in agile, cross-functional teams to deliver business-impacting solutions

What We’re Looking For

• Experience: 5+ years building and deploying ML systems, and 1+ years with GenAI systems at scale
• Education: Bachelor’s or higher in Computer Science, Engineering, Mathematics, or a related field
• Skills:
• Advanced Python development
• Expertise in PyTorch, Hugging Face, LLMs, and Transformers
• Experience with vector databases, graph databases, and Data Lakehouse systems
• Familiarity with multi-agent GenAI architectures
• Knowledge of secure coding practices
• Strong analytical, problem-solving, and collaboration skills

Bonus Points

• Experience working in regulated industries or environments with strict compliance requirements
• Familiarity with asynchronous system design and message queue technologies (e.g., RabbitMQ, Kafka)
• Hands-on experience with enterprise integration patterns and technologies (e.g., REST, gRPC, service meshes, API gateways)
• Strong grasp of software architecture principles, including design patterns, modularity, and scalability best practices
• Experience deploying and managing AI workloads on Kubernetes, including vendor-managed platforms like EKS, AKS, GKE, and OpenShift
• Exposure to multi-cloud or hybrid cloud environments and infrastructure-as-code tools (e.g., Helm, Terraform)
• Proficiency with Linux systems and shell scripting
• Experience contributing to or working with open-source projects or AI/ML platforms

Excited to shape the future of intelligent infrastructure?

We’d love to hear from you.

About Practicus AI

Practicus AI is a Seattle-based company delivering a unified platform for Generative AI and Data Intelligence. Purpose-built for security, scalability, and flexibility, our cloud-native, open-source architecture powers intelligent LLM gateways, Agentic AI systems, and modern data pipelines. We enable streamlined LLMOps, MLOps, and DataOps workflows, abstract infrastructure complexity, and optimize compute and GPU resources, empowering both technical teams and business users to build and scale AI solutions with confidence.

At Practicus AI, we are committed to responsible innovation. We prioritize ethical AI development, data privacy, and model transparency. As an equal opportunity employer and vendor, we value diversity and inclusion across our teams, partners, and the communities we serve. We actively seek to create fair access to advanced AI capabilities, ensuring that powerful tools are built and applied for the benefit of all.