[Hiring] Forward Deployment Engineer @Netguru

Role Description

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.

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

Qualifications

• 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

Requirements

• 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

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

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, internal conferences

Don't hesitate and apply right away! At Netguru, 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!