AI Platform Engineer
JBS
United States
3 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Cloud Computing
Extract Transform Load (ETL)
Domain Name System (DNS)
Subnetting
Python (Programming Language)
Networking Basics
OAuth
Security Assertion Markup Language (SAML)
Software Engineering
+8 more
Google Cloud
Load Balancing
Large Language Models
Prompt Engineering
Amazon Virtual Private Cloud (VPC)
AI Platforms
Enterprise Integration
Restful APIs
Requirements
- Demonstrated experience designing and delivering solutions that integrate multiple systems end to end in production - with ownership from requirements through deployment.
- Strong systems and integration skills - REST APIs, identity/auth (SSO/SAML/OAuth), enterprise data flows, event-driven and ETL/ELT patterns, and the design trade-offs that keep integrated systems reliable.
- Hands-on software engineering ability (e.g., Python) and comfort building working prototypes, not only diagrams.
- Solid grounding in cloud infrastructure and networking fundamentals (AWS, Azure, or Google Cloud Platform) - compute, storage, identity, VPC/subnet and DNS concepts, load balancing, and secure connectivity - enough to design and stand up the environment a solution runs in.
- Working fluency with AI/LLM solution patterns - retrieval-augmented generation (RAG), prompt engineering, agent orchestration, human-in-the-loop design, and guardrails.
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