Forward Deployment Engineer

Our mission at Netguru is to help entrepreneurs and innovators shape the world through beautiful software.

As a 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.

Responsibilities

• 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.
• 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.

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.
• PLN 175 monthly lump sum (ryczałt) for remote employees (Contract of Employment).
• Various internal initiatives: webinars, knowledge-sharing sessions, internal conferences.