Senior Platform Engineer (Go/python, AL ML)

• Posted 1 hour ago • Updated 1 hour ago

Contract Corp To Corp

Fitment

Dice Job Match Score™

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Job Details

Skills

Python
api
Documentation
API Gateway
GitHub
deployment
Workflow
Distributed Systems
B2B Software
Backbone

Summary

Position Senior Platform Engineer (Go/python, AL ML)

Location: Denver, CO - Remote

Job Description:

We are seeking a seasoned Senior Platform Engineer for a high-impact contract role.

You will be responsible for building and maintaining the backbone of our external-facing Tier 1 services.

This role demands a unique blend of distributed systems reliability and modern AI/ML implementation.

We are looking for a "force multiplier" someone who leverages the latest AI developer tools to deliver high-quality code at an accelerated pace.

Key Responsibilities

Systems Reliability: Own the lifecycle of external-facing Tier 1 services, ensuring high availability and low latency.
Platform Evolution: Scale core infrastructure and API Gateway systems to support growing AI/ML workloads.
Accelerated Delivery: Utilize AI-assisted development tools (e.g., Cursor, GitHub Copilot, LLM-based refactoring) to maintain high velocity without sacrificing code quality or security.
Rapid Adaptation: Pivot quickly as product priorities shift while maintaining strict delivery timelines.

Required Qualifications

Experience: 7+ years of professional software engineering experience, with 3+ years in Platform/Infrastructure.
AI/ML Domain: 2+ years of hands-on experience in the AI/ML space (e.g., LLM orchestration, model deployment, inferencing stack).
Technical Stack: Expert-level proficiency in Go and/or Python.
Modern Workflow: Proficiency with the latest AI developer tools. You should have a proven workflow for using AI to speed up documentation, testing, and boilerplate generation.
Service Ownership: Experience operating Tier 1, external-facing services with high availability requirements.
Reliability: Proven ability to adapt to changing priorities and deliver on time.

Preferred Skills (Nice to Have)

API Infrastructure: Prior experience building, scaling, or maintaining API Gateway systems.
Strongly Preferred if you have experience building model routers or products for developer (SDKs etc)

Sr. No	Skills	Years of Exp	Rating
1	Experience: 7+ years of professional software engineering experience, with 3+ years in Platform/Infrastructure.
2	AI/ML Domain: 2+ years of hands-on experience in the AI/ML space (e.g., LLM orchestration, model deployment, inferencing stack).
3	Technical Stack: Expert-level proficiency in Go and/or Python.
4	Modern Workflow: Proficiency with the latest AI developer tools. You should have a proven workflow for using AI to speed up documentation, testing, and boilerplate generation.
5	Service Ownership: Experience operating Tier 1, external-facing services with high availability requirements.
6	Systems Reliability: Own the lifecycle of external-facing Tier 1 services, ensuring high availability and low latency.
7	Platform Evolution: Scale core infrastructure and API Gateway systems to support growing AI/ML workloads.
8	Accelerated Delivery: Utilize AI-assisted development tools (e.g., Cursor, GitHub Copilot, LLM-based refactoring) to maintain high velocity without sacrificing code quality or security.
9

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX1bee1d
Position Id: 2026-2412
Posted 1 hour ago

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