5 дней назад
AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Python/LLM): Building shared AI capabilities, reusable services, and production-grade generative AI systems for construction software products with an accent on retrieval pipelines, agentic workflows, and evaluation-driven development. Focus on designing scalable AI architectures, improving reliability and observability, and turning emerging AI approaches into reusable engineering building blocks.
Location: Remote work policy with flexible working hours and locations.
Company
is a global technology partner operating since 2008 with more than 1,600 professionals across seven locations.
What you will do
- Build and evolve shared AI capabilities, reusable services, and engineering accelerators for construction software products.
- Design and operate production-grade AI systems, including LLM applications, retrieval pipelines, tool use, orchestration layers, and agentic workflows.
- Define technical specifications, evaluations, interface definitions, and workflow contracts for reliable delivery.
- Establish evaluation-driven development covering quality, reliability, latency, cost, grounding, and maintainability.
- Partner with product, engineering, and business stakeholders to integrate shared capabilities and align implementation with customer value.
- Support AI-native engineering practices, responsible AI governance, security, observability, prototyping, and knowledge sharing.
Requirements
- 5+ years of hands-on software engineering experience, including production-grade AI or data-intensive systems.
- Excellent Python skills and proficiency with Azure or AWS cloud platforms.
- Hands-on experience with generative AI, LLMs, retrieval-augmented generation, tools, and agents.
- Experience designing end-to-end AI systems across APIs, application services, data pipelines, retrieval layers, evaluation workflows, and cloud infrastructure.
- Strong architectural judgment, communication, collaboration, and ability to influence engineers and stakeholders.
- Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field; equivalent experience may be considered.
Nice to have
- Experience with AI-assisted engineering, Spec-Driven Development, automated testing, and intelligent developer agents.
- Experience taking technical concepts from early prototyping through production rollout and continuous improvement.
Culture & Benefits
- Open-ended freelance B2B agreement requiring an active sole proprietorship.
- Part-time engagement of up to 50% of a full-time workload, depending on project needs.
- Flexible participation: suitable project opportunities can be accepted or declined without ending the agreement.
- Equipment is typically provided, with virtual machine access available depending on the project.
- Inclusive, diverse, values-driven community with autonomy over how work is performed.
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