ml engineer in software delivery

Enfint; Wrocław; On-site; PLN 279,000 - 469,000; Full time

Benefits offered by this job

Медицинское страхование LuxMed

Кредиты MyBenefit

Multisport

Возмещение расходов на очки

Бонусы за рекомендации сотрудников

Лицензии на инструменты AI

Job summary

Enfint приглашает старшего инженера по разработке с опытом внедрения AI в жизненный цикл ПО в крупных проектах. Вы идентифицируете возможности автоматизации, формируете практические рабочие процессы и настраиваете интеграции между инструментами разработки.

Вы проводите пилоты, собираете отзывы, обучаете команду и превращаете успешные эксперименты в повторяемые практики. Требуется глубокое понимание SDLC, опыт с AI-агентами и умение работать в русскоязычной команде.

Qualifications

• Senior-level software engineering experience on commercial projects.
• End-to-end understanding of the SDLC and relationships between its stages.
• Hands-on experience building or integrating AI agents and AI-enabled developer workflows.
• Experience with Spec-Driven Development in real delivery environments.
• Experience integrating Git, issue trackers, AI coding tools, design or test management systems.
• Fluent Russian for day-to-day communication within the team.
• Nice to have: BMAD, SpecKit, or similar frameworks.

Responsibilities

• 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.

Skills

Senior-level software engineering

End-to-end SDLC understanding

Hands-on AI agents/workflows

Spec-Driven Development

Git/issue trackers integration

Evaluate new technologies

Fluent Russian

BMAD/SpecKit familiarity

Tools

Git

Issue trackers

AI coding tools

Design management tools

Test management systems

Job description

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.