Senior AI Engineer (M/F) в ARCHE consulting | hitIT
Senior AI Engineer (M/F)
22 сентября 2026 г.
Удалённо
Senior
Warszawa, Polska
Важно перед откликом
У вакансии есть условия, которые могут повлиять на решение об отклике
Английский обязателен · уровень B2Оформление по B2B-контракту
Описание
The role is a Senior AI Engineer position supporting a large-scale digital transformation initiative aimed at modernizing enterprise systems, driving cloud adoption and evolving business-critical applications toward microservices-based architecture. The engineer will design and implement AI-powered solutions, build AI agents and workflows, and integrate AI tools into development and DevOps environments and CI/CD pipelines. The position also involves leading technical workshops, standardizing AI usage practices across teams and preparing technical documentation. The offer is a B2B contract based in Warszawa, Poland.
Гендерные маркеры в названии (M/F)
В соответствии с европейским законодательством о недискриминации вакансия открыта для всех кандидатов
Mмужской пол
Fженский пол
Обязанности
Designing and implementing AI-powered solutions that support software development processes
Configuring, integrating and enhancing AI tools within development and DevOps environments
Building AI agents, workflows, prompts and reusable skills tailored to engineering teams
Integrating AI solutions with repositories, CI/CD pipelines, code review processes and testing frameworks
Providing hands-on engineering support and collaborating directly with development teams
Leading technical workshops and identifying opportunities for AI adoption across the organization
Defining and standardizing AI usage practices and engineering workflows across multiple teams
Monitoring the effectiveness of AI implementations and recommending continuous improvements
Preparing technical documentation and supporting knowledge transfer initiatives
Collaborating with engineers, managers and business stakeholders to deliver high-value AI solutions
Требования
Minimum 5 years of experience in a technical role such as Software Developer, DevOps Engineer, QA Automation Engineer or similar
Hands-on experience working within software development teams and across the full application lifecycle
Practical experience implementing AI tools that support SDLC processes, including GitHub Copilot, Cursor, Claude Code, Codex, M365 Copilot or similar solutions
Experience designing and building AI agents, workflows, prompts, skills and automation solutions
Strong understanding of LLMs, RAG architectures, agentic systems and AI-driven automation
Experience integrating AI solutions into engineering ecosystems and software delivery processes
Knowledge of Spec-Driven Development and modern AI-assisted software engineering practices
Ability to gather and translate business and technical requirements into implementation initiatives and solution architecture
Experience evaluating AI business value, measuring adoption outcomes and optimizing model usage costs
Excellent communication and consulting skills with the ability to engage technical teams, managers and senior stakeholders