• Advance your career with exciting professional opportunities in our thriving company with a startup feel
• Innovate by transforming ideas into cutting-edge AI products, championing AI and Generative AI through creative experimentation to push boundaries and deliver transformative solutions.
• Voice your unique ideas in a culture defined by our entrepreneurial spirit, openness, and integrity
• Feel at home working with our helpful, enthusiastic colleagues who have great team spirit
• Broaden your perspective with our extensive training curriculum and learning programs (e.g. LinkedIn Learning)
• Speak your mind in our holistic feedback and development processes (e.g. 360-degree feedback)
• Satisfy your need for adventure with our opportunities to live and work abroad in one of our many international offices
• Enjoy our benefits, such as hybrid working, daycare allowance, corporate discounts, and wellbeing support (e.g. Headspace)
• Unwind in our break areas where you can help yourself to the healthy snacks and beverages provided
• See another side of your coworkers at our frequent employee events, World Meetings and Holiday Parties

• Build and launch multi‑tenant app modules (UI + services) with role‑based access and audit logging.
• Implement RAG‑powered features with high UX trust signals (citations, source previews, evaluations in‑product).
• Establish a UI design system and component library for reuse across products.
• Ship secure and accessible UIs and services that turn data/ML/GenAI into delightful, explainable features.
• Design and build TypeScript/React (or equivalent) front ends and service layers (Node/NestJS or Python/FastAPI).
• Implement authN/authZ (OIDC), tenancy boundaries, rate limiting, and usage metering.
• Integrate ML/LLM endpoints via a gateway; instrument for latency, errors, and cost; implement fallbacks.
• Own end‑to‑end testing (contract, e2e, accessibility), CI/CD, and release automation.
• Collaborate with Product team on technical discovery and feasibility and with UX Designer on IA/UX;
• Influence architectural decisions and helping to shape products, not just implementing/coding them
• Write technical documentation.
• Work with Platform Engineer to deploy and manage services securely.
• Mentor junior engineers

• Proven experience with designing, developing and operating secure multi-tenant, customer-facing SaaS products used by real users at scale
• You think with a product mindset, focusing on customer value, reliability, and speed-to-market rather than technology for its own sake.
• Very strong communication and collaboration skills - supporting other engineers, async collaboration, explaining technical decisions to non-technical audiences, writing documentation, showing initiative.
• You are business-oriented data-centric, passionateabout building products that deliver tangible value to our clients

Technical skills

• API gateway patterns, versioning, idempotency, and rate limiting.
• Async workloads: background jobs (Celery/RQ/BullMQ) + queueing; file ingestion pipelines; webhook patterns.
• Experience integrating ML/LLM services (streaming, tool use, evals, guardrails) and building RAG features with ingestion pipelines, embeddings, vector stores, and retrieval orchestration.
• Python (advanced); FastAPI (async/await, dependency injection,middleware); Pydantic (validation, serialization, API contracts).
• Expert in React and TypeScript; strong component architecture and state management patterns
• Experience building responsive, accessible (WCAG-aware) UIs using semantic HTML/CSS
• Strong performance engineering skills (profiling, code-splitting, Core Web Vitals, render optimization)
• Proven ability integrating with APIs (REST/GraphQL), including caching, pagination, loading/error states, and resiliency
• Security-minded UI development (XSS prevention,auth flows, dependency hygiene)
• Require end-to-end testing tools: Playwright/Cypress, contract testing (PACT optional), and CI quality gates.
• Typed APIs: OpenAPI-first, schema validation, and backwards compatibility policies.
• Docker, CI/CD, Git workflows; observability basics (logs, metrics, traces).
• Database change management (Alembic;Liquibase/Flyway a plus).
• Require OpenTelemetry instrumentation and experience buildingdashboards/alerts for product KPIs + technical KPIs (latency, error rate, costper request).
• Expand authN/authZ requirements: tenant-aware RBAC, session security, secure cookie strategy, CSRF, CSP, SSRF controls for connectors, secure file upload handling.
• Supply chain security basics (dependencyscanning, SBOMs) as a plus.
• Hands-on with Kubernetes deployment patterns, Helm/Kustomize, andtroubleshooting in production.
• Domain-Driven Design, Clean Architecture, dependency injection, and repository patterns.
• PostgreSQL/MySQL: schema design, indexing, query tuning, and connection pooling.
• Kafka/MSK/Kinesis: producers/consumers, partitions, and at-least-once semantics (idempotency a plus).
• Pandas for pragmatic data manipulation inservices and jobs.
• AuthN/AuthZ (OAuth2/JWT), RBAC, and secure secrets handling.
• Data validation and governance (Great Expectations/Deequ); PII handling and encryption (nice to have).