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Sr. Agentic AI Engineer - Seattle, WA - NEED ONLY LOCAL TO WASHINGTON WITH ID PROOF

Geopaq LogicSeattle, WA🇺🇸United StatesPosted 31 Aug 2026

Why This Role Stands Out

This Sr. Agentic AI Engineer role offers a fantastic opportunity to shape cutting-edge AI solutions and contribute to a reputable technology company, leveraging your extensive experience with LLMs, RAG, and platform engineering. If you're a skilled engineer passionate about building scalable AI infrastructure and possess strong Python/Java skills, you'll thrive in this impactful on-site position. Apply now to join a dynamic team and drive innovation in AI!

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Seattle, WA, United States
Posted
Yesterday
DockerSQLAWSGoogle CloudJavaKubernetesPython

Job Description

Job Title: Sr. AI Agentic Engineer
Location: Seattle, WA
Duration: 5 Months of Contract
NEED ONLY LOCAL CANDIDATES WITH LOCAL ID PROOF

Qualifications
Bachelor s or Master s degree in Computer Science, Engineering, or equivalent practical experience.
6+ years of professional software engineering experience, with a strong track record of designing and delivering complex, scalable distributed systems.
AI Fluency Required: Hands-on experience working with LLMs, foundation model APIs (OpenAI, Anthropic, Google, etc.), prompt engineering, retrieval-augmented generation (RAG) architectures, and embedding-based search in production environments.
Platform engineering in AI teams You have contributed to or built shared AI infrastructure or developer platforms within an AI-focused product organization, enabling other teams to build reliable AI-powered features on top of your foundation.
Proficiency in Python and/or Java; strong grasp of multiple tech stacks and cloud-native development on AWS and/or Google Cloud Platform.
Experience with RESTful services, event-driven architectures, and backend databases (SQL, NoSQL, or cloud-native datastores).
Familiarity with containerization technologies (Kubernetes, Docker) and modern CI/CD practices and tools (e.g., GitLab).

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