Forward Deployment Engineer

Our requirements

• 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
• Communicative (B2+) Polish and English.
• 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
• 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
• 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

Optional

• Domain experience in Finance, Retail, or Supply Chain
• Public presence - conference talks, open-source, published writing on AI

Your responsibilities

• 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
• Translate ambiguous pain into a written technical scope you can defend
• Lead pre-sales on AI opportunities - scope, price, propose, close
• 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
• Stand up evals, observability, and guardrails before going live
• Own the path to production: security review, procurement, change management
• 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

About the project

This is how we organize our work

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

What we offer

• 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.

Recruitment stages

• 1.
  meet with one of our recruiters
• 2.
  meet with the client during online interviews

NETGURU S.A.