Intellias

Platform Engineer – Agent Promotion & Rollback

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SeniorZdalnie·PolanaFull-time·B2B

#442149·Dodano miesiąc temu·2

Źródło: justjoin.it

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Tech Stack / Keywords

AIMachine Learning

Podsumowanie oferty

The Platform Engineer role focuses on building and automating agent deployment, promotion, and rollback capabilities for an enterprise AI Agent Platform. The role is responsible for creating reliable multi-environment release workflows for AI agents, including automated quality gates, version management, regression validation, and rollback mechanisms. Engineers will influence key architectural and technical decisions for a new platform.

Wymagania

Experience with agent promotion workflow across environment progression (dev → QA → prod) with evaluation gate enforcement.
Experience with agent rollback mechanisms including validation (health check, smoke test).
Experience managing AWS AgentCore Runtime endpoints (DEFAULT alias, environment pinning).
Experience enforcing agent evaluation gates blocking promotion if agents fail quality checks (PII safety, workflow accuracy).
Experience with agent version comparison running evaluation suites to detect regression.
Strong Python automation skills for agent lifecycle operations.
4+ years platform or backend engineering experience with AI/ML systems.
Experience with multi-environment deployment and promotion workflows.
Experience in rollback automation and safety validation.
Experience enforcing quality gates in deployment pipelines.

Nice to have:

Hands-on usage of AWS AgentCore Evaluation API.
Experience with agent regression testing and version comparison.
Experience with blue/green or canary deployment patterns for LLM agents.
Experience with agent health monitoring post-deployment.

Obowiązki

Design and implement agent promotion workflows across development, QA, and production environments.
Build automated quality gates to validate agents before promotion.
Implement rollback mechanisms to restore previous production agent versions.
Automate post-deployment validation including health checks and smoke tests.
Manage AWS AgentCore Runtime versions and endpoints.
Build Python automation for agent deployment, promotion, versioning, and rollback.
Integrate agent evaluation results into deployment pipelines to prevent releases failing quality, safety, or workflow accuracy checks.
Implement agent version comparison and regression testing using consistent evaluation suites.
Support safe deployment strategies such as blue/green and canary patterns.
Monitor agent health and support automated detection of release issues.
Collaborate with AI and platform engineering teams to establish reliable CI/CD and lifecycle management practices for agents.

Benefity

Flexible work schedule.
Fixed financial bonus issued quarterly covering average market price of private medical care and sport card (B2B contract).
Gifts on occasions such as birthday, wedding, childbirth.
E-learning accounts for Coursera, O'Reilly, Udemy.
Corporate language school.

Elastyczne godziny

Premie

Opieka zdrowotna

Karta sportowa

Kursy językowe

Inne informacje

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