| Position | Artificial Intelligence Engineer |
| Posted | 05 Aug 2026 |
| Expired | 04 Sep 2026 |
| Company | Factspan |
| Location | Seattle | US |
| Job Type | Full Time |
Latest job information from Factspan for the position of Artificial Intelligence Engineer. If the Artificial Intelligence Engineer vacancy in Seattle matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Factspan for the position of Artificial Intelligence Engineer below matches your qualifications.
Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed.With offices in Seattle, Washington and Bangalore, India;we use a global deliverymodel to serviceour customers. Our customers includeindustry leaders from Retail, Financial Services, Hospitality, and technology sectors.
Key Responsibilities:Strong SQL, Python, and Query Analysis skills are required for this role.
Programming:frameworks, Java or Go for backend.
Microservices architecture, RESTful APIs, distributed systems. Experience building data
pipelines, APIs, and microservices.
AI/ML Tools:TensorFlow, PyTorch, LangChain, Vertex AI, LLMs, and general Gen AI/Agentic AI experience.
Agentic AI & Google ADK:Experience designing and implementing production-grade Agentic AI systems using Google
ADK, including multi-agent workflows, tool-calling, and Model Control Plane (MCP) Server
services (for exposing internal tools/APIs). Google ADK experience is highly preferred.
GCP, Kubernetes, Docker. GCP experience is highly preferred.
Databases:
No SQL databases (Mongo DB, Cosmos DB), SQL, and Big Query experience are highly
preferred.
Performance Optimization:Profiling, caching strategies, query optimization, and the ability to identify performance
bottlenecks and optimize performance using Gen AI. Observability experience.
Other: Experience with design and support for multiple applications.
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