Engineering manager

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 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)

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 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

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

Requirements

Engineering & delivery

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

AI / ml expertise

hands-on experience with AI/ML projects (LLMs, agents, vector DBs, prompt engineering)

understanding of agentic systems, model behavior, and AI-specific risks

Architecture & process

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)

Collaboration & communication

strong cross-team communication (CTO, POs, designers, engineers)

ability to translate technical decisions into business impact

People & le