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AI Platform Engineer

Silverlink Technologies LLCNew York, NY🇺🇸United StatesPosted 26 Aug 2026

Why This Role Stands Out

This hybrid Data Engineer role at Silverlink Technologies LLC offers a fantastic opportunity to leverage your extensive Databricks, AWS, and Python expertise within the dynamic finance or insurance sectors, with significant potential for professional growth. You'll thrive here if you're a seasoned professional adept at performance tuning and production support, contributing to impactful data solutions within a collaborative environment. Embrace this chance to enhance your skills and make a real contribution to a reputable company.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
New York, NY, United States
Posted
3 days ago
FastAPIMicroservicesMLOpsMLflowSnowflakeDatabricksGitHub ActionsGitLab CIGrafanaPrometheusPythonRESTUnitygRPCpytest

Job Description

Job Title - 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).


Contract Position

Implementing Partner – HCL tech

Contract Position
Location – New York, NY
Duration: 6-9 months (possible extensions)

Job Summary: 

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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