Stillingsbeskrivelse
AI Engineer / Head of AI
At Mojob, we are building a better way to connect the right talent with the right companies. What began as a marketplace for small jobs has evolved into a modern hiring and staffing platform, used in production since 2019 across both public and private sectors. After years of product development, strategic decisions, and key pivots, we are now moving from foundation-building to scaling. AI will be critical to this next phase — and this is where you come in.
As Head of AI, you will lead and build production-grade AI capabilities that help redefine how people discover work and how companies find talent, at scale.
What you will be working on
- Design, build, and lead production AI features end-to-end: retrieval, ranking, summarisation, structured extraction, and agent workflows.
- Own shared AI primitives – embeddings store, RAG services, evaluation harnesses – reused across multiple product areas.
- Deliver high-impact capabilities such as talent–job similarity, explainable candidate screening, resume parsing to structured skills, support/knowledgebase Q&A, and job-description assistance.
- Integrate AI capabilities into our services with clear APIs, observability, and per-tenant cost tracking.
- Define and maintain evaluation suites, regression tests for prompts/retrieval, and monitoring for quality, latency, and cost.
- Ensure responsible AI practices: explainability for scoring, audit logging, PII handling and bias awareness in hiring workflows.
- Collaborate closely with product and engineering to ship MVPs in focused cycles and iterate based on real usage.
Tech stack
Python (Django) for backend services; Vue/Nuxt and Flutter for frontend applications. AWS, Kubernetes, PostgreSQL (with pgvector), Elasticsearch, Redis, and Celery for asynchronous task processing.
Krav
- You have strong software engineering experience building production systems.
- You possess solid SQL/PostgreSQL and API design experience.
- You have demonstrable experience shipping LLM-based features used by real customers, including RAG, embeddings, vector search, and structured LLM outputs.
- You have experience building evaluation and monitoring for AI systems such as golden sets, regression tests, and cost/latency telemetry.
- You have an understanding of multi-tenant SaaS, async workers, and production incident response.
- You are fluent in English and have strong communication skills.
Ferdigheter
Erfaring
senior