Senior AI & Platforms Engineer

BuzzClan LLC; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

BuzzClan LLC in NYC seeks a Senior AI & Platforms Engineer to build and scale our AI platforms. You will design autonomous multi-agent systems, develop Python microservices, and establish MLOps pipelines.

You will work on data pipelines across Snowflake, Databricks, and Lakehouse architectures while leveraging agentic frameworks. The role requires hands-on Python expertise and experience with agentic frameworks, plus strong DevOps practices.

Qualifications

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

Responsibilities

• Design and implement autonomous multi-agent systems and cognitive architectures.
• Build high-performance asynchronous Python microservices and robust REST/gRPC APIs.
• Establish end-to-end MLOps/AIOps pipelines and automate testing, deployment, and monitoring of AI models.
• Architect scalable data pipelines across Snowflake/Databricks/Lakehouse.

Skills

Python expertise

Agentic frameworks

Data ecosystem proficiency

CI/CD & MLOps

Tools

LangGraph

CrewAI

AutoGen

Semantic Kernel

Snowflake

Databricks

Unity Catalog

Delta Lake

Job description

Senior AI & Platforms Engineer

Location: NYC, NY (3 days onsite minimum)

Contract

Need only local candidates who can go for F2F.

Job Summary:

Role Overview

We are seeking a Senior Engineer to build and scale our next-generation AI platforms.

Key Responsibilities

• 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.

Qualifications

Required Qualifications

• 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).

Additional Information

All your information will be kept confidential according to EEO guidelines.