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Location
Remote (Ukraine)
Employment
Full-Time

First seen by Alion on Oct 20, 2026. Luxoft scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Luxoft is a software engineering and IT consulting company founded in 2000 and owned by DXC Technology since 2019. Headquartered in Zug, Switzerland, it builds custom software, testing and cloud solutions for clients in automotive, financial services, healthcare, media and telecommunications. Its delivery centers in countries such as Romania, Poland, India and Serbia hire QA engineers, DevOps engineers, backend developers and data engineers.

We are looking for an AI Prompt Engineer / AI Integration Engineer with hands-on experience using modern LLM tools such as ChatGPT, Claude, and similar platforms.

The role will focus on applying AI capabilities to engineering web applications, specifically drilling and completion software.
Responsibilities:
Identify practical AI use cases for drilling and completion software.
Design, test, and improve prompts using ChatGPT, Claude, and similar tools.
Support integration of AI features into engineering web applications.
Work with product, engineering, and domain teams to validate AI outputs.
Help define best practices for AI-assisted workflows and responsible AI usage.

Mandatory Skills Description:
Practical experience with modern LLM and GenAI tools/platforms, such as ChatGPT, Claude, Azure OpenAI Service, Azure AI Foundry, or similar.
Strong prompt engineering skills.
Hands-on experience with LangSmith, LangChain, DeepAgent, or similar frameworks
Experience with Kafka, Kubernates, Postgres and Bedrock
Backend: Python
Experience applying AI tools to real business, engineering, or software development use cases.
Understanding of how AI/LLM capabilities can be integrated into web applications.
Ability to design AI-assisted workflows, prompts, and response validation approaches.
Good understanding of web application concepts.
Strong communication skills.

Nice-to-Have Skills Description:
Experience with drilling, completion, oil & gas, or other engineering software.
Experience with AI assistants, copilots, workflow automation, or decision-support tools.
Familiarity with JavaScript/TypeScript, Node.js, Angular, React, or similar technologies.
Experience with GitHub Copilot, Cursor, or other AI-assisted development tools.
Experience working with technical documentation, engineering data, or domain-specific knowledge bases.

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