Forward Deployed Engineer
Stockholm HQ · Global Delivery
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.
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