Senior AI & Platforms Engineer

BuzzClan

New York, NY, United States

about 2 months ago

Apply on www.careerjet.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Continuous Integration Data Infrastructure Dataspaces DevOps Github Python (Programming Language) Software Architecture Prometheus Snowflake Grafana

+10 more

Multi-Agent Systems Fastapi Pytest Data Lakes Gitlab-ci Data Management Machine Learning Operations Data Pipelines Databricks Microservices

Job description

AI & Agentic Engineering: Design and implement autonomous multi-agent systems and cognitive architectures using cutting-edge agentic frameworks.
Backend Architecture: Build high-performance, asynchronous Python microservices and robust REST/gRPC APIs.
AIOps & CI/CD: Establish end-to-end MLOps/AIOps pipelines, automating the testing, deployment, and monitoring of AI models and data products.
Data Infrastructure: Architect scalable data pipelines and query patterns across data platforms such as Snowflake/Databricks/Lakehouse.

Requirements

Python Expertise: Good knowledge of advanced Python (Asyncio, FastAPI, Pytest) applied to distributed microservices.
Agentic Frameworks: Hands-on experience developing with frameworks like LangGraph, CrewAI, AutoGen, or Semantic Kernel.
Data Ecosystem: Deep technical proficiency with Snowflake, Databricks (Unity Catalog, Delta Lake), or Lakehouse architectures.
DevOps & AIOps: Proven track record building CI/CD pipelines (GitHub Actions, GitLab CI) and monitoring infrastructure (Prometheus, Grafana, MLflow).

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com

Prepare application

Good distractions

Loading talks and stories from around this role…