AI Engineer - Legal Search

Salary: CHF 100’000 - 140’000 per year

Requirements:

• Minimum qualifications
• - Strong hands-on experience improving search/retrieval systems (hybrid retrieval, reranking, or query understanding) in production.
• - Proven experience in building and deploying LLM-based products from prototyping to production.
• - Solid algorithms background (data structures, complexity, graph theory, statistics), IR/NLP intuition, and practical SQL skills.
• - Proficiency in TypeScript/Node.js (our core stack).
• - Experience with one or more of: Azure AI Search, pgvector/PostgreSQL, OpenSearch/Elasticsearch, or similar.
• - Familiarity with modern embedding models and cross-encoders for reranking; ability to reason about latency, throughput, and quality trade-offs.
• - Ownership mindset, clear communication, and bias for action.
• - Proficiency in English.
• - Availability full-time. On-site in Zurich at least two days per week (hybrid).

Responsibilities:

• As an AI Engineer - Legal Search, you focus on building and shipping retrieval, reasoning and context engineering that powers our legal research experience.
• Retrieval & ranking: Implement and iterate domain-specific retrieval and reranking algorithms going beyond the standard ones, including knowledge-graphs and custom workflows.
• LLM-powered products: Design and build robust, production-grade LLM systems and chatbots.
• Signals & features: Design scoring features from citations, authority, recency, jurisdiction, section/paragraph structure, and intra-doc anchors.
• Practical considerations: Carefully evaluate decisions like API vs. self-hosted; add batching, early-exit, and caching to control cost/latency.
• Evaluation that guides shipping: Define offline eval sets, run quick ablations, and watch production feedback and dashboards.
• Search infrastructure: Tune indices, analyzers, and embeddings; manage recall/precision trade-offs and de-duplication/near-duplicate suppression.
• Cost & performance: Keep token usage, GPU/CPU time, and indexing costs under control with caching, pre-computation, and fallbacks.
• Collaboration: Work closely with legal experts to turn user pain points into ranking features; document decisions and share clear playbooks.

Technologies:

• AI
• API
• OpenSearch
• Azure
• Docker
• ElasticSearch
• Kubernetes
• LLM
• NestJS
• PostgreSQL
• SQL
• Serverless
• TypeScript
• NodeJS
• Cloud

More:

- Job title: AI Engineer - Legal Search
- Department: Engineering
- Status: Open
- Location: Zurich

- About You
- Do you love making search actually work well for the user? Are you hands-on with ranking algorithms, query understanding, and excited to ship improvements that users feel the same day? Do you enjoy building pragmatic, low-latency, cost-aware solutions for AI-assisted legal research (where citations, precision, and traceability matter)? If so, wed love to hear from you.

- About Omnilex
- Omnilex is a young dynamic AI legal tech startup with its roots at ETH Zurich. Our passionate interdisciplinary team of 14+ people is dedicated to empowering legal professionals in law firms and legal teams by leveraging the power of AI for legal research and answering complex legal questions. We already stand out with handling unique challenges, including our combination of external data, customer-internal data and our own innovative AI-first legal commentaries.

- Benefits
- Direct impact: your ranking and retrieval changes immediately improve result quality and user trust.
- Autonomy & ownership: Shape our legal research pipeline, across multi-facetted user intention understanding, dynamic retrieval and reranking.
- Team: Work with a sharp, interdisciplinary team at the intersection of AI, search, and law.
- Compensation: CHF 8000–12000 per month + ESOP (employee stock options), depending on experience and skills.

- Application
- Were excited to hear from candidates who are passionate about making legal search fast, accurate, and trustworthy. Apply today by pressing the Apply button.

last updated 8 week of 2026