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AI Platform Engineer

Job in Washington, District of Columbia, 20022, USA
Listing for: Learningmate Solutions
Full Time position
Listed on 2026-09-25
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Role:
Senior AI / Platform Engineer

Experience:

6-10 years overall, with recent hands-on GenAI / agent platform experience.

Location:

Remote

Shift Time: 5:30pm to 3:30am IST

Purpose

Own deeper technical diagnosis and help establish a repeatable maintenance model for company's Snowflake-based AI applications and agents.

Responsibilities
  • Understand the architecture of ~25 AI applications moving into production and identify common operating patterns.
  • Diagnose complex production issues across agents, prompts, tools, APIs, data pipelines and integrations.
  • Work with existing observability platform to trace failures and identify root causes.
  • Define deployment, monitoring, escalation and remediation patterns across applications.
  • Support bug fixes, production changes and more complex engineering issues.
  • Work closely with architecture team and help distinguish application-specific fixes from platform-level improvements.
  • Help identify reusable agent lifecycle, monitoring and operational components as the estate grows.
Core Skills
  • Strong Snowflake experience, ideally including Cortex AI / Cortex Agents / Cortex Search / Snowpark.
  • Python, SQL and APIs.
  • Hands-on experience building or supporting LLM/agent applications.
  • Agent frameworks such as Lang Graph, Lang Chain or similar.
  • Production deployment, CI/CD and release management.
  • LLM/AI observability and evaluation concepts;
    Langfuse, Lang Smith, Ragas or similar is useful.
  • Experience diagnosing distributed application failures, logs, traces and integrations.

Note:

We are searching for candidates combining Snowflake Cortex, agent architecture, data engineering, CI/CD and AI observability.

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