Job Opportunities API

About  Fulcrum : We’re a team of tech-savvy, creative & passionate IT professionals. We’ve created a vibrant and performance-driven culture for ourselves where everyone is free to think & act outside the box. There are literally no limits to what you can do here, as long as we WOW our clients and OVER deliver what we promise. We are now looking for an Engineering manager to join our team Core mission of the role is to be the quality and process backbone for all Product Tech teams at Fulcrum. Ensure every team follows best practices, delivers on schedule, adopts AI-powered workflows, and maintains engineering excellence — without micromanaging day-to-day execution. Key Responsibilities Delivery & process control monitor overall health of AI projects (velocity, quality, blockers, timelines) and intervene early when needed review and approve key 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) establish and maintain cross-project engineering standards Ai process & innovation drive adoption of AI dev tools and measure impact (Claude, Codex, agents) evaluate new AI requirements (feasibility, effort, risks, approach) identify and implement 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 People & education 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 2+ years managing engineering teams 5+ years in IT (any relevant roles) proven track record of shipping production systems on time and within scope Understanding of modern stack (TypeScript, React, Node, Docker, PostgreSQL) hands-on experience with AI/ML projects (LLMs, agents, vector DBs, prompt engineering) understanding of agentic systems, model behavior, and AI-specific risks ability to review and challenge architecture, tech stack, APIs, DB, and security decisions 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 Nice to have experience building or orchestrating AI agents / multi-agent systems familiarity with vector DBs, RAG pipelines, or open-source AI frameworks DevOps / platform engineering experience (CI/CD, monitoring, infra) experience in outsourcing/agency environments strong product sense and technical documentation skills Hiring process Recruiter interview (40 min) Technical interview Reference check Final interview with CTO What we offer : - 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