Senior AI & Platforms Engineer
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).
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