
51 - 200 employees
Founded 2010
🤖 Artificial Intelligence
🏥 Healthcare
💸 Finance
Artificial Intelligence • Healthcare • Finance
Vecten is an AI-native data and technology partner that builds proprietary data infrastructure and AI systems for private capital (venture capital and private equity) and healthcare & life sciences. It offers a full-stack delivery model — strategy workshops (Vecten Compass), an AI-native data platform deployed in client clouds (Vecten Core), an edge intelligence layer with ML models, LLM workflows and AI agents (Vecten Edge), and continuous operations with forward-deployed engineers and domain-specific AI agents (Vecten Drive). Vecten emphasizes compliant, production-ready systems (including HIPAA-aligned solutions for healthcare), measurable business outcomes, and long-term engineering partnerships; its clients collectively manage $1. 2T+ in assets and the company highlights ~15 years of engineering depth.
🔥 1 hour ago
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51 - 200 employees
Founded 2010
🤖 Artificial Intelligence
🏥 Healthcare
💸 Finance
Artificial Intelligence • Healthcare • Finance
Vecten is an AI-native data and technology partner that builds proprietary data infrastructure and AI systems for private capital (venture capital and private equity) and healthcare & life sciences. It offers a full-stack delivery model — strategy workshops (Vecten Compass), an AI-native data platform deployed in client clouds (Vecten Core), an edge intelligence layer with ML models, LLM workflows and AI agents (Vecten Edge), and continuous operations with forward-deployed engineers and domain-specific AI agents (Vecten Drive). Vecten emphasizes compliant, production-ready systems (including HIPAA-aligned solutions for healthcare), measurable business outcomes, and long-term engineering partnerships; its clients collectively manage $1. 2T+ in assets and the company highlights ~15 years of engineering depth.
• Designing and building the core platform: event processing for money math, plan configuration, eligibility rules, and the supporting services around them. • Owning vertical slices end-to-end – AWS infrastructure, Kotlin backend, TypeScript frontend. • Acting as a thought partner on architecture decisions still being made (IaC choice, service boundaries, data model). • Interviewing internal subject-matter experts to translate domain knowledge into working software. • Setting the bar for AI-native engineering practices – how the team uses Claude Code, Cursor, agents, and what good looks like.
• 7+ years of professional software engineering experience, with a meaningful track record of senior or staff-level work. • Strong backend engineering on the JVM – Kotlin, Java, or Scala in production. Kotlin experience preferred; if you have strong Java/Scala and have shipped Kotlin on a side project, that works. • Solid TypeScript on the frontend – React, Angular, or similar, enough to own UI slices without needing a dedicated frontend pair. • Solid cloud infrastructure fundamentals – you've reasoned about networking, IAM, compute, and managed services for real systems and can defend the trade-offs. • Architecture chops – you've designed non-trivial systems, can defend trade-offs, and are comfortable disagreeing when you think someone's wrong. • English fluency – you'll be talking to business users and engineers daily. • Strongly preferred • AI-native fluency – you actively use Claude Code, Cursor, or equivalent agents in your daily workflow. You can talk specifically about what you delegate, what you don't, and why. • AWS in production – not just "deployed something once". Deep familiarity with VPCs, IAM, RDS, Lambda/ECS trade-offs on real workloads. • IaC experience – Pulumi, Terraform, or CDK. • Background in regulated or transactional domains – fintech, payments, healthcare, insurance, ERP, billing systems. Anything where audit trails, eligibility rules, and money math matter. • Comfort working in greenfield ambiguity – you've been the second or third engineer on a platform before and know how to make progress when half the decisions aren't made yet. • Nice to have • Direct retirement / pensions / 401(k) experience – the unicorn profile. If you have it, lead with it. • DevOps depth – you've owned CI/CD pipelines, observability stacks, and on-call rotations. • Python data-stack background – likely to become relevant as analytics and reporting work comes online.
• Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc. • Work with a talented team redefining the global perception of Poland • Flexible working hours and remote work options • Comfortable office in central Warsaw with all essential tools • Multisport card & private medical care • A culture of feedback – evaluation meetings, mentoring, and career growth opportunities • Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions. Backed by continuous growth and a strong knowledge-sharing culture (check our YouTube).
Apply Now🕒 3 days ago
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