Engineering Manager - AI & GenAI at Netguru

Poznan, Greater Poland Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

35000.0

Posted On

20 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LLM-based Systems, Agentic Architectures, RAG Pipelines, Agent Orchestration, Tool Use, Evaluation Frameworks, Observability, Cost Control, Latency Management, Reliability, Python, TypeScript, Node.js, Cloud Infrastructure, CI/CD, Presales Support

Industry

IT Services and IT Consulting

Description

Netguru is a trusted partner in digital commerce. The company helps leading brands modernize B2B solutions, marketplaces, and retail ecosystems. Since 2008, it has empowered businesses with cutting-edge technology, AI-powered personalization, and world-class engineering and design teams. A certified B Corporation®, Netguru is trusted by major brands including IKEA, VW, OLX, Delivery Hero, Żabka, Wolt, Careem, and Vinted. We're looking for an Engineering Manager who will support Netguru's AI and GenAI engineering capability - end to end. Not just someone who knows the buzzwords. Someone who has shipped LLM-based systems to production, understands agentic architectures from the ground up, and can lead a team of engineers building real products for real clients. You'll sit at the intersection of engineering, delivery, and growth. You'll set the technical direction, support presales with honest feasibility assessments, drive internal AI adoption across teams, and build a competency that becomes one of Netguru's strongest differentiators. English and Polish are required Compensation up to 35,000 PLN net/month (B2B) + 20 paid days off up to 29,100 PLN gross/month (Employment Contract) What You'll Own 1. Agentic & LLM Engineering Lead and grow an AI engineering group (30+ engineers) — backend, ML, DevOps, and QA profiles. Define architecture standards for LLM-based products: RAG pipelines, agent orchestration, tool use, evaluation frameworks. Set the bar for production-grade AI systems: observability, cost control, latency, safety, and reliability. Oversee the full lifecycle of AI systems — from prototype to production and beyond. 2. Internal AI Adoption Drive the adoption of AI-powered developer tooling across Netguru teams (Cursor, Copilot, Claude, prompt engineering workflows). Build playbooks, run workshops, and lead by example — engineers should feel empowered, not replaced. Measure adoption impact using DORA/SPACE metrics and human signals (developer experience, cycle time, rework). Build a library of reusable AI practices scalable across 100+ projects. 3. Presales & Feasibility Be the technical voice in deal reviews for AI/GenAI opportunities. Provide fast, reliable architecture options, risk assessments, and effort estimates - even for unknown domains. Challenge unrealistic scopes and propose alternatives that win trust and close deals. 4. AI Capability Building Build Netguru's AI/GenAI competency roadmap — stacks, reference architectures, integration patterns. Grow Tech Leads who can own AI workstreams independently. Build communities of practice around LLM engineering, prompt engineering, and AI evaluation. Monitor team health: velocity, code quality, morale, rework rate, CI/CD, test coverage. Must-Have 7–10 years of engineering experience, full-stack mindset. 2–3 years leading engineering teams, including Tech Leads. Hands-on production experience with LLM-based systems (RAG, agents, fine-tuning, evaluation). Strong Python and/or TypeScript/Node.js background. Solid understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and CI/CD. Experience supporting presales and proposal reviews in a consulting or software house context. Familiarity with AI observability tooling (LangSmith, OpenTelemetry, Weights & Biases, or similar). Native Polish Communicative English (C1). Nice to Have Experience with agentic frameworks: LangChain, LangGraph, AutoGen, CrewAI, or custom agent architectures. Background in ML Engineering or data infrastructure. Experience scaling AI products from proof-of-concept to production at client scale. Familiarity with payments, logistics, or marketplace domains. Experience building communities of practice or running internal enablement programs WorkSmile platform — Multisport, private health insurance, life insurance, 15+ benefit categories. Discounts on Apple products. Growth budget available for every employee (manager's budget). PLN 175/month remote lump sum (Employment Contract). Internal webinars, knowledge-sharing sessions, and access to Netguru's engineering community.

Responsibilities

The Engineering Manager will lead and grow the AI engineering group, defining architecture standards for LLM-based products like RAG pipelines and agent orchestration, while overseeing the full lifecycle of AI systems from prototype to production. Additionally, this role involves driving internal AI adoption across teams using developer tooling and providing technical expertise during presales and feasibility assessments for AI/GenAI opportunities.