Vention

ml engineer in software delivery

In short

Senior-роль по внедрению AI-инструментов и агентов в процессы разработки ПО (SDLC) в компании Vention, которая развивает платформу AI Forge для крупных корпоративных сред. Требуется опыт коммерческой разработки, понимание всего жизненного цикла разработки, практический опыт с AI-агентами и Spec-Driven Development, а также свободный русский язык для общения в команде. Работа гибридная, во Вроцлаве.

Описание
Vention drives AI transformation across the software development lifecycle in large-scale enterprise environments. Its AI Forge platform combines delivery visibility with AI agents, spec-driven workflows, and integrations across software development tools.
Задачи
•Identify opportunities for AI automation across the SDLC and turn them into practical workflows for real projects
•Research, compare, and recommend AI tools, agents, services, and SDD approaches such as BMAD and SpecKit
•Build, configure, test, and integrate AI-enabled workflows across the software delivery toolchain
•Run pilots on real projects, gather feedback, resolve gaps, and improve solutions before wider rollout
•Support team adoption through onboarding plans, operating processes, documentation, and practical guidance
•Track adoption and effectiveness using delivery data, including cycle time and rework, and refine workflows based on results
•Turn proven approaches and emerging technologies into reusable delivery capabilities with R&D and project teams
Требования
•Senior-level software engineering experience on commercial projects
•Strong understanding of the end-to-end SDLC and the relationships between its stages
•Hands-on experience building or integrating AI agents and AI-enabled developer workflows
•Practical experience with Spec-Driven Development in real delivery environments
•Experience integrating Git, issue trackers, AI coding tools, design, or test management systems
•Ability to evaluate new technologies, make practical trade-offs, run pilots, and turn successful experiments into repeatable practices across teams
•Fluent Russian for day-to-day communication within the team
•Nice to have: BMAD, SpecKit, or similar frameworks
Условия
•Competitive compensation package based on experience, skills, and market standards
•EDU corporate community with tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
•Licenses for AI tools, including GitHub Copilot and Cursor
•Private medical care with LuxMed
•Kafeteria MyBenefit credits for stores, restaurants, and cafés
•Access to a Multisport membership
•Glasses reimbursement program
•Referral bonuses for bringing in new talent

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