Senior AI & Platforms Engineer
BuzzClan
New York, NY, United States
13 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
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).
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