Atlas Energy Solutions

Energy

AIDeveloper

$75–95k ~AI est. Austin, Texas, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“AI Developer at Atlas Energy Solutions”

Industry & Context.

Energy
Problems you'll solve

Troubleshoot issues

Eligibility Requirements

Eligible to work in U.S

Full Job Description

Who We Are: Atlas Energy Solutions Inc. (NYSE: AESI) is a leading solutions provider to the energy industry. Atlas’ portfolio of offerings includes oilfield logistics, distributed power systems, and the largest proppant supply network in the Permian Basin. With a focus on leveraging technology, automation, and remote operations to enhance efficiencies, Atlas is centered around a core mission of improving human beings’ access to hydrocarbons that power our lives and, by doing so, maximizing value creation for our shareholders. How You Will Make an Impact: The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and maintains AI solutions across the business. Responsibilities AI-powered features and applications such as conversational interfaces, workflow automations, MCP servers, and computer vision. Connect AI solutions with Atlas internal systems, Microsoft Graph, Azure services, third-party APIs, and operational data sources. Implement testing strategies for AI behavior including prompt evaluation, regression testing, output validation, and model performance. Apply authentication patterns, data protection controls, and audit logging. Ensure responsible and compliant AI usage by reinforcing approved tools, data handling, and governance guardrails; coordinate privacy/security reviews and escalate risks and exceptions as needed. Monitor deployed solutions for performance, reliability, and cost. Respond to incidents, troubleshoot issues, and drive continuous improvement through analytics and user feedback. Minimum qualifications Bachelor’s degree (in disciplines relevant to business process improvement or technology adoption) or equivalent practical experience/training. Programming: Foundational proficiency in one general purpose programming language (e. g. Python or C#) and one front end framework (e. g. React/JavaScript) Comfort with REST APIs, JSON, DBs and basic data structures Foundations: Understanding of AI/ML/LLM concepts

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