Why This Role Stands Out
This role offers a fantastic opportunity to shape the future of AI platforms, working with cutting-edge agentic frameworks and building scalable backend architecture. You'll thrive here if you possess strong Python skills, experience with data ecosystems like Snowflake or Databricks, and a passion for MLOps/AIOps. Apply now to leverage your expertise in this exciting hybrid environment!
Quick Overview
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.
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).
All your information will be kept confidential according to EEO guidelines.
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