Forward Deployment Engineer

Description

Our mission at the company 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, the company 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 or . the company works with the largest brands in the world, such as , or .


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 the company team), translate ambiguous problems into a defensible technical scope, and ship working AI systems to production - fast. Half of your time goes back into the company: 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 + 20 paid days off
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 the company 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 the company 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.

• Credible with a CEO and an engineer on the same day.

• Proposal writing and deal scoping for AI engagements.

• Senior stakeholder management without hand-holding.

• Ability to communicate AI concepts, architecture decisions, risks, trade-offs, and implementation options to non-technical audiences.

• Solution-oriented consulting approach focused on delivering business outcomes rather than simply implementing requested features.

Mindset

• Builder by default — running system over recommendation deck.

• Stack-agnostic — picks the right tool, not the favorite one.

• Walks into chaos, imposes structure, delivers clarity.

• Ships in days, not weeks.

• Thinks beyond delivery and takes responsibility for customer adoption, feedback, iteration, and measurable business impact.

Nice to have:

• Domain experience in Finance, Retail, or Supply Chain

• Public presence - conference talks, open-source, published writing on AI

SDLC orchestration and multi-agent pipelines

What success looks like (first 6–12 months)

• First AI engagement scoped, built, and delivered to production

• At least one reusable asset (agent skill, MCP, eval suite) shipped into NetguruOS

• Measurable time savings from internal tooling contributions

Benefits

• Access to the WorkSmile platform offering benefits adapted to your preferences:

• Multisport card.

• Private health insurance package.

• Life insurance.

• Hundreds of other options to choose from 15 categories (shopping, leisure, travel, food, etc.).

• Discounts on Apple products.

• Support for your growth - a head/manager’s budget available to every employee.

• PLN 175 monthly lump sum (ryczałt) for remote employees (Contract of Employment)

• Various internal initiatives: webinars, knowledge-sharing sessions, .

Don't hesitate and apply right away!

At the company, we're committed to creating an inclusive environment for everyone. If you require any disability-related accommodations during the recruitment process, please let us know. We're here to help!