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Senior Agentic AI Engineer - Seattle, WA - Hybrid

Geopaq LogicSeattle, WA🇺🇸United StatesPosted Oct 22, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Seattle, WA, United States
Posted
Yesterday
DockerSQLGitAWSScrumGoogle CloudJavaKanbanPythonGenerative AIRESTKubernetesAgilePrompt EngineeringCI/CDRAG

Job Description

Job Title: Senior AI Agentic Engineer
Location: Seattle, WA (4days Onsite & 1day remote)
Duration: 6+ Months of Contract

As Senior Engineer, you are a lead individual contributor responsible for the quality of a team’s work and capable of tackling complex design and problem solving without supervision. You will design systems spanning multiple weeks or months of work, make technical decisions that balance short and long-term business objectives, and take ownership of team-level costs and metrics. You will champion new techniques, mentor junior engineers, and be a key technical voice in cross-functional discussions.

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).
Demonstrated ability to design systems spanning multiple weeks or months of work, incorporating a full team’s worth of engineers, and balancing short and long-term trade-offs.
Strong emphasis on building observability into systems — real-time alerting, dashboards, metrics, and performance accountability.
Experience working with cross-functional teams including product, business, infrastructure, and security stakeholders.
Strong verbal and written communication skills; ability to articulate complex technical decisions to both technical and non-technical audiences.
Agile development experience (Scrum, Kanban, Lean, or similar) with a continuous improvement and quality mindset

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