Remote AI Engineer - LLMs, Agents & Automation

Provoke Solutions; United States; Remote; USD 83.000 - 165.000; Vollzeit

Zusammenfassung

Provoke Solutions is hiring an AI Engineer to design, develop, and deploy AI-powered applications in a remote US setting. You will integrate LLMs from Bedrock, OpenAI, and Anthropic, building agentic workflows and secure, scalable solutions that fit enterprise needs.

The role emphasizes production‑ready code, continuous improvement, and collaboration with cross‑functional teams to solve real business problems using AI across cloud-native architectures.

Qualifikationen

• Bachelor's degree or equivalent practical experience in a relevant field.
• AWS Generative AI Developer or ML Engineer certification preferred.
• 2+ years of experience in business processes, automation, or AI.
• Hands-on experience designing agentic AI workflows in an enterprise environment.
• Ability to evaluate tools and implementation approaches for complex processes.
• Experience building business cases that quantify improvements and cost savings.

Aufgaben

• Design, develop, and deploy AI-powered applications using Python and modern AI tech.
• Integrate LLMs from Bedrock, OpenAI, and Anthropic into business workflows.
• Build agentic AI workflows with automated, multi-step reasoning and actions.
• Develop cloud-native AI services on AWS and serverless architectures.
• Implement retrieval-augmented generation and secure data handling.
• Test, monitor, and optimize AI applications for reliability and cost efficiency.

Kenntnisse

Python

AI Engineering

AWS

LLM Integration

Automation

Ausbildung

Bachelor's degree in Computer Science or related field

AWS Certified Generative AI Developer – Professional or MLA-C02

Tools

AWS

Bedrock API/SDK

OpenAI API

Anthropic API

Jobbeschreibung

Provoke Solutions is hiring an AI Engineer to design, develop, and deploy AI-powered applications in a remote US setting. You will integrate LLMs from Bedrock, OpenAI, and Anthropic, building agentic workflows and secure, scalable solutions that fit enterprise needs.

The role emphasizes production‑ready code, continuous improvement, and collaboration with cross‑functional teams to solve real business problems using AI across cloud-native architectures.