Engineering Manager

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🕒 April 1

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Fulcrum

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

☁️ SaaS

Artificial Intelligence • Healthcare Insurance • SaaS

Fulcrum is a product-oriented design and development team that collaborates with businesses at every stage, from startup through IPO and beyond. They specialize in creating applications that meet business objectives with a focus on developing Minimum Viable Products (MVPs), UI/UX design, and team augmentation. Fulcrum has extensive experience in the healthcare and marketplace industries, ensuring compliance with HIPPA, GDPR, and other regulations. They integrate artificial intelligence into products and build engaging, data-rich platforms that prioritize user experience. Fulcrum's approach includes transparent processes, regular project updates, and a top-notch recruitment funnel, ensuring high-quality deliverables for their clients.

📋 Description

• monitor overall health of AI projects (velocity, quality, blockers, timelines) and intervene early when needed • review and approve ключові технічні deliverables (architecture, APIs, security, DB, deployment) • define and enforce engineering processes (code reviews, CI/CD, testing, documentation, AI tooling) • approve presale development plans (architecture, stack, team, estimates) • approve discovery setup (processes, cadence, risks, tooling, acceptance criteria) • drive adoption of AI dev tools and measure impact (Claude, Codex, agents) • evaluate new AI requirements (feasibility, effort, risks, approach) • identify and внедряти AI-driven process improvements (automation, testing, monitoring, docs) • oversee custom agent development (quality, value, best practices) • track and evaluate new AI/ML technologies, maintain internal knowledge base • lead internal AI education (workshops, materials, onboarding) • support engineer growth via feedback and skill gap identification • participate in hiring and technical assessments for AI roles • run mentorship initiatives for AI skill development

🎯 Requirements

• 2+ years managing engineering teams or overseeing multi-project delivery • 5+ years in IT (any relevant roles) • proven track record of shipping production systems on time and within scope • hands-on experience with AI/ML projects (LLMs, agents, vector DBs, prompt engineering) • understanding of agentic systems, model behavior, and AI-specific risks • strong experience defining and enforcing engineering processes (CI/CD, code reviews, testing, documentation) • strong cross-team communication (CTO, POs, designers, engineers) • ability to translate technical decisions into business impact • experience mentoring engineers, running knowledge sharing, and supporting hiring • hands-on use of AI dev tools (Claude, Codex, Copilot, etc.) and understanding of productivity impact • experience validating technical feasibility, estimates, and discovery setup • understanding of testing strategies (unit, integration, E2E, AI validation) • awareness of security, compliance, and responsible AI practices • solid understanding of modern stack (TypeScript, React, Node, Docker, PostgreSQL) with ability to review code

🏖️ Benefits

• Flexible schedule & opportunity to work remotely • Friendly & open team who have fun creating cool projects together; • Opportunity to boost your professional & personal growth; • Regular team gathering activities; • 20 business days of paid vacation + UA national holidays; • Medical insurance full coverage; • 10 + 5 days paid sick leave;