Looking for Sr. AI Platform engineer---Bellevue, WA, Frisco, TX, Overland Park KS, Atlanta, GA
Tejaswini B
Hello,
This is Tejaswini Sr. Lead Talent Acquisition from Spar Information Systems
This is in reference to the following position
Job title: Sr. AI Platform engineer
Location: Bellevue, WA, Frisco, TX, Overland Park KS, Atlanta, GA
About the role
You'll join a working squad of senior engineers and architects to build the first production pilots of client serving layer. The team has already proven a sub-millisecond serving pattern (an embedded DuckDB cache fronted by Fast APl, kept fresh by Delta Change Data Feed sync fro the Lakehouse) and is now scaling it across pilot use cases like ad suppression, subscriber lookups, and customer profile serving-
This is hands-on build work. You will write the sync pipelines, the serving stores, the APls, the tests, and the CI/CD that take pilots from prototype to production
What you'll de
* Build serving stores, sync pipelines, and APi layers for pilot use cases.
* Configure each pilot end-to-and: source table binding, key schema, sync schedule, and consumer integration.
* Set up CI/CD pipelines with automated tests covering sync correctness, API contract validation, and latency benchmarks.
•Operate to defined SLAs for latency, freshness, and availability.
* Partner with domain teams (Consumer & Marketing, Commercial & Revenue, Growth, Pricing & Analytics) to onboard their use cases onto the patterns we build,
* Contribute to reference implementations, blueprints, and documentation that future teams will reuse.
Required experience
* APi development: production Python with FastAPI or comparable, versioned REST APls, contracts, governance.
* Batch and real-time data pipelines: Kafka or comparable streaming, plus CDC or incremental batch; built and operated end-to-end.
•Caching and key-value serving: production Redis or Valkey, cache invalidation, TTL strategies, hot-path serving.
* Vector databases and knowledge graphs: Pinecone, Weaviate, pgvector, Neo4), or comparable, embeddings and retrieval patterns.
* Al software engineering: hands-on building data infrastructure for Al and ML use cases (RAG. agent tooling, feature serving).
* Azure DataBricks, Delta Lake, Unity Catalog hands-on production experience.
* Delta Lake internal: transaction log. time travel, and Change Data Feed (CDF).
* SQL and date modeling: comfortable with point-lookup vs analytical query patterns.
* CVCD: GitLab or GitHub Actions; automated tests for data pipelines.
* Communication: works directly with senior architects, product managers, and domain stakeholder
Nice to have
* Embedded analytical engines: DuckDB or comparable.
* Microsoft Fabric / QneLake/ Power Bl Semantic Models: production experience.
* SLAs and SLOs: defining and operating for Data products or API’s
MCP style tooling: data access for AI agents
Enterprise scale data serving : prior work on serving infrastructure at large enterprise.
Thanks & Regards,
Tejaswini Badagouni
Sr. Lead Talent Acquisition
Office - 469-833-2796 Ext 548
Fax - 469-991-9672
Metasis Information Systems LLC
Website - www.metasisinfo.com
5550 Granite Parkway, Suite 105, Plano, TX 75024, USA
Disclaimer:: We respect your online privacy. This is not an unsolicited mail. Under bill 1618 title III passed by the 105th us congress this mail cannot be considered Spam as long as we include contact information and a method to be removed from our mailing list. If you are not interested in receiving our e-mails, please reply with a "REMOVE" in the subject line. We apologize for any inconvenience caused by this mail