AI Engineer

Role:

Sr.

AI Platform Engineer Location:

Bellevue, WA/Frisco, TX/Kansas City, KS/Atlanta, GA (hybrid)

Duration:

12+

Months Responsibilities:

Build serving stores, sync pipelines, and API layers for pilot use cases.

Configure each pilot end-to-end:

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.

Requirements :

API development: production Python with FastAPI or comparable; versioned REST APIs, 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, Neo4j, or comparable; embeddings and retrieval patterns.

AI software engineering:

hands-on building data infrastructure for AI and ML use cases (RAG, agent tooling, feature serving).

Azure Databricks, Delta Lake, Unity Catalog:

hands-on production experience.

Delta Lake internals:

transaction log, time travel, and Change Data Feed (CDF).

SQL and data modeling:

comfortable with point-lookup vs analytical query patterns.

CI/CD:

GitLab or GitHub Actions; automated tests for data pipelines.

Communication:

works directly with senior architects, product managers, and domain stakeholders.

Nice to have:

Embedded analytical engines: DuckDB or comparable. Microsoft Fabric / OneLake /

Power BI Semantic Models:

production experience.

SLAs and SLOs:

defining and operating for data products or APIs.

MCP-style tooling:

data access for AI agents.

Enterprise-scale data serving:

prior work on serving infrastructure at large enterprise. Thanks Chandan Manager | Empower Professionals ........................................................................................................................................................ |

Phone:

x 321 |

Fax:

100 Franklin Square Drive - Suite 104 | Somerset, NJ 08873 Certified NJ and NY Minority Business Enterprise (NMSDC)