Careers
Forward Deployed Engineer
You will design systems that deliver outcomes, not just features. Small team, high ownership, direct client impact. If you want to build the next operating model for AI-driven organizations — not just use AI tools — join us.
- Location
- Stockholm HQ · Global Delivery
- Type
- Full-time
- Department
- Engineering
What you'll do
- •Embed with customers or users to solve real-world problems, often working closely onsite or within their technical environment.
- •Scope and translate business needs into technical solutions, uncovering real constraints and unspoken requirements.
- •Design, implement, configure, and deploy production systems that meet specific customer outcomes, not just generic features.
- •Build and integrate full-stack technology components, including APIs, interfaces, data pipelines, and workflows.
- •Partner with customer engineering and domain teams to co-develop solutions and share technical ownership.
- •Bridge business and engineering perspectives, acting as a translator between customer needs and product/engineering teams.
- •Operationalize complex products (especially AI or data systems) so they work in messy, real environments.
- •Drive adoption and value realization, helping customers use the technology to achieve measurable outcomes.
- •Troubleshoot, monitor, and improve systems post-deployment, ensuring stability and ongoing alignment with business goals.
- •Feed customer insights back into product strategy, influencing product enhancements and future roadmaps.
Technology Stack
Language stack
TypeScript (React/Vite/Astro), Python (FastAPI, Pydantic, pandas, Luigi), SQL (Postgres/MySQL), Bash
Architecture fundamentals
system decomposition (UI/API/workers/data), sync vs async, queues/events, consistency, caching, multi-tenancy, failure modes
Contracts + API design
OpenAPI/Swagger, JSON Schema, FastAPI/Pydantic, versioning, idempotency, pagination, rate limiting
Cloud native
cloud familiarity across AWS + GCP + Azure, containers (Docker), IaC (Terraform/CDK), immutable deploys, autoscaling, multi-env
Security by default
OAuth2/OIDC, IAM concepts, secrets management
Testing discipline
pytest, contract tests, integration tests (Testcontainers), e2e (Playwright), regression suites
CI/CD literacy
GitHub Actions/GitLab CI, build/test gates, artifact/image pipelines, canary/blue-green, rollback
Observability mindset
OpenTelemetry, structured logging, metrics/tracing, dashboards/alerting
Coding agents + context engineering
Windsurf + Cursor/VS Code agents, prompt-to-PR workflow, constraints/specs
LLM experience
RAG + vector DBs (pgvector), local LLM runtimes (Ollama/vLLM), guardrails