Forward Deployment Engineer

Our mission at Netguru is to help entrepreneurs and innovators shape the world through beautiful software. We care about trust, taking ownership, and transparency. As a Certified B Corporation®, we offer a safe, inclusive, and productive environment for all team members, and we’re always open to feedback. If you want to work from home and be a full-time employee, great! We want to create the right opportunities for you.

Over the past ten years, Netguru has changed the way people bank, listen to music, learn languages, and rent bicycles. Some of their clients include Fortune 500 companies and startups like solarisBank or senseFly . Netguru works with the largest brands in the world, such as Volkswagen , IKEA or Keller Williams .

As the Forward Deployment Engineer you will sit at the intersection of client delivery, pre-sales, and internal AI tooling. You embed with a client (or an internal Netguru team), translate ambiguous problems into a defensible technical scope, and ship working AI systems to production - fast. Half of your time goes back into Netguru: every reusable pattern you spot in the field becomes a skill, agent, or MCP inside NetguruOS.

This is a builder role, not an advisory one. Proof of work is a running system - not a deck.

Salary:

from 20000PLN net on B2B contract
or from 16700PLN gross on Contract of Employment

What you'll do:

Client engagements:

• Embed temporarily into the team that owns the problem — client engineering org or internal Netguru team.
• Run discovery with stakeholders from CTO down to end-user.
• Run workshops, uncover requirements, clarify business needs, and translate ambiguous pain into a written technical scope you can defend.
• Analyze customer processes, identify bottlenecks, and propose digital or AI-driven improvements.
• Lead pre-sales on AI opportunities — scope, price, propose, close.
• Act as a trusted advisor, challenging assumptions and recommending better technical, product, or process approaches when appropriate.
• Communicate effectively with both technical and non-technical stakeholders, translating complex AI and engineering concepts into clear business language.
• Work comfortably within client environments, adapting to their tools, security requirements, workflows, governance models, and decision-making structures.
• Take ownership of outcomes, ensuring solutions deliver measurable business value, adoption, and long-term impact.

Build

• Prototype in days, not weeks — working software, not slides.
• Write production-grade Python or TypeScript (or whatever the client runs).
• Ship AI-enabled workflows: copilots, agents, RAG systems, automation, internal tooling.
• Integrate with the client's existing stack.
• Design solutions that are not only technically sound but also usable, reliable, and aligned with real user workflows.
• Stand up evals, observability, and guardrails before going live.
• Own the path to production: security review, procurement, change management.
• Identify opportunities where AI can improve processes, reduce manual effort, accelerate decision-making, or create new product capabilities.

Build internally (≈50% of the role)

• Extend Netguru's internal AI platform with new agents, MCPs, and skills based on field learnings
• Build enablement tooling for internal AI delivery teams — templates, runbooks, reusable skills
• Codify reusable client patterns back into NetguruOS

Requirements

Experience

• 5+ years total, including 3+ years hands-on building and shipping AI-assisted systems.
• 2+ years in a client-facing consulting or pre-sales engineering role.
• Proven full-cycle ownership: discovery scoping build production handoff.
• Comfortable with both technical and business stakeholders in the same engagement.
• Strong understanding of business processes and the ability to translate operational challenges into practical software and AI solutions.
• Experience gathering requirements, facilitating discovery workshops, and transforming ambiguous business problems into actionable implementation plans.
• Understanding of AI adoption challenges, including data readiness, user trust, governance, compliance, change management, and operational integration.
• Communicative (B2+) Polish and English.

Technical

• Production-grade Python and/or TypeScript — shipped systems, not scripts.
• LLM stack fluency (Claude, GPT, open-weight) — knows when to use which and why.
• AI system design: agents, RAG pipelines, copilots, MCP servers, sub-agents.
• Eval-driven development — defines success metrics before shipping, measures after.
• Integration experience: REST APIs, iPaaS, common SaaS (CRM, PM, BI).
• Cloud deployment, security reviews, change management.

Consulting & communication

• Strong customer-facing mindset with the ability to understand stakeholder needs and translate them into practical software solutions.
• Translates ambiguous client pain into written technical scope — and defends it.
• …