3 дня назад
Senior Software Engineer (AI)
6 500 - 9 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI): Building cost-conscious AI harnesses for long-horizon autonomy, including planner, executor, and evaluator pipelines, memory management, and tool integrations with an accent on inference workflows, performance, and production ownership. Focus on designing multi-model agent systems, managing persistent context and telemetry, and solving complex user-facing reliability and optimization challenges.
Location: Remote-first role available in Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, or Ukraine
Salary: €6,500–€9,000 gross per month, depending on experience
Company
develops cloud infrastructure and Kimchi, an AI platform for running and managing large language model services on Kubernetes.
What you will do
- Architect planner, executor, and evaluator pipelines using multiple AI models.
- Build agent memory and context-management capabilities, including state persistence, context compaction, and tool-call offloading.
- Own the harness surface, including TUI, MCP integrations, and telemetry.
- Design, implement, test, and roll out features end to end.
- Work directly with users and internal colleagues to identify and resolve product pain points.
Requirements
- Production experience with Go or TypeScript, or strong systems-programming experience in a comparable language.
- Strong debugging, optimization, query-profiling, index-design, and database-performance-tuning skills beyond ORM usage.
- Experience with observability tooling such as Prometheus, Grafana, or OpenTelemetry, as well as CI/CD and DevOps practices.
- Experience driving a complex project from design through delivery.
- Strong written and verbal English skills.
- Must be based in one of the listed eligible countries; visa sponsorship and work-permit support are not provided.
Nice to have
- Hands-on experience with AWS, GCP, Azure, and Kubernetes.
- Experience working with harnesses and creating AI workflows.
- Startup experience and comfort with ambiguity.
Culture & Benefits
- Flexible remote-first environment with a global team.
- Equity options and an equipment budget.
- 10% of work time dedicated to personal projects or self-improvement.
- Learning budget covering professional development, conferences, and courses.
- Extra days off, team-building budget, company events, and an annual hackathon.
- Fast-paced workflow where most feature projects are completed in one to four weeks.
Hiring process
- Recruiter screening call and hiring manager interview.
- Technical system-design interview and live coding.
- Culture Check interview with an executive; a background check may be conducted at the final stage.
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