Forward Deployed AI Engineer
Omnilex —Zürich, ZH
- Überstunden
- Hybrides Arbeiten
- Englisch
- Master
- JavaScript
Director, Platform and Integration Lead
Blockstream —Zürich, ZH
- 100%
- Management-Erfahrung
- Englisch
- AWS
Direkt bewerben
Solution Architect
DeepJudge —Zürich, ZH
- 100%
- Datenbanken
- Bachelor
Senior AI Engineer
RepRisk AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Master
- AWS
- Mentoring
Direkt bewerben
11 Tage
Software Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Englisch
- Master
- C++
Direkt bewerben
Senior Android (KMP) Mobile Developer
Specialized —Cham, ZG
- 100%
- Mentoring
- Softwareentwicklung
- Kommunikationsfähigkeit
12 Tage
System Engineer
Auterion —Zürich, ZH
- Master
- C++
- Bachelor
- Eltern-/Erziehungsurlaub
- Pensionskasse
Direkt bewerben
Embedded Electronics Engineer (f/m/d) | 40 - 60% | Deep Tech Startup
Subatron GmbH —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Englisch
- Master
- C++
Direkt bewerben
3 Std.
Head of Engineering
LimeFlight —Zürich, ZH
- 100%
- Homeoffice
- Management-Erfahrung
- Englisch
- Bachelor
Forward Deployed Engineer - German Speaking
Happyrobot Inc. —Zürich, ZH
- 100%
- Homeoffice
- Master
- Kommunikationsfähigkeit
- Python
Senior-Fullstack-Engineer
Korix AG —Zürich, ZH
- CHF 100’000 - CHF 120’000 pro Jahr
- 100%
- Datenbanken
- SQL
- JavaScript
- Kostenloser Parkplatz
- Homeoffice-Möglichkeit
Direkt bewerben
8 Tage
Senior Test Engineer
u-blox —Thalwil, ZH
- Management-Erfahrung
- Datenanalyse
- Laborerfahrung
Senior Test Automation Engineer
Dentsu —Zürich, ZH
- 100%
- Homeoffice
- Englisch
- Python
- Empfehlungsprogramm
Lead Software Engineer
Synthara AG —Zürich, ZH
- C++
- Python
Simulation Lead Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Englisch
- Master
- AWS
Functional Consultant & Project Manager
BLP Digital AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Englisch
- Master
- Analysefähigkeit
Silicon Photonics Design, Principal Engineer
Marvell —Adliswil, ZH
- 100%
- Doktorat
- Master
- Kommunikationsfähigkeit
6 Tage
Senior System Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Militär
- Englisch
Direkt bewerben
23 Std.
Vision & Perception Engineer - Humanoid (human)
Neura Robotics —Zürich, ZH
- 100%
- Datenanalyse
- Master
- C++
Direkt bewerben
Senior Technical Support Engineer, Observe by Snowflake
Snowflake —Zürich, ZH
- Bereitschaftsdienst
- Informatik
- Windows
- SQL

Ich möchte aktuelle Job-E-Mails für Stellen als data engineer data integration platform in zug zg erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

data engineer data integration platform jobs near zug zg

Jobs als Senior Automation Engineer in Zürich, ZH

Jobs als Simulation Engineer in Zürich, ZH

Jobs als Computer Vision Engineer in Zürich, ZH

Jobs als System Engineer in Zürich, ZH

Jobs als Software Engineer in Zürich, ZH

Jobs als Solution Architect in Zürich, ZH

Jobs als Full Stack Developer in Zürich, ZH

Jobs als Engineer in Zürich, ZH

Jobs als Electronics Engineer in Zürich, ZH

Jobs als Senior System Engineer in Zürich, ZH

Jobs als Sozial Integration in Zürich, Zh

Jobs als Integration Lead in Zug, Zg

Jobs als Büro, Assistent, Sozialarbeiter, Sozialamt, Integration in Kanton Solothurn

Jobs als System Integration Manager in Genève, Ge

Jobs als Project Engineer in Zürich, Zh

Jobs als Simulation Engineer in Zurigo, Zh

Jobs als Analytics Engineer in Zürich, Zh

Jobs als Simulation Engineer in Geneva, Ge

Jobs als Platform Engineer in Zürich, Zh

Jobs als It Support in Liechtenstein

Forward Deployed AI Engineer

Omnilex
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100%

Leistungen

Erfolgsbeteiligungsplan

Qualifikationen

Englisch
Master
Docker
JavaScript
PostgreSQL
Deutsch
Debugging

Vollständige Stellenbeschreibung

Why Omnilex?

At Omnilex, we’re on a mission to transform the way lawyers work. Our AI-native platform lets legal professionals enhance their productivity in legal research and automate workflows. We collaborate closely with our clients and iterate at a market-leading pace. In a year, we have gone from an early MVP to a product used daily by thousands of legal professionals at our clients in Switzerland, Germany and Liechtenstein - and are now scaling rapidly across Europe.

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.

You’ll be joining a young, passionate, and dynamic team of 15, with roots at ETH Zurich.

Your role

You like the last mile – the part where an AI product stops being a demo and starts surviving real life: inconsistent documents, weird naming conventions, strict access rules, stakeholders who notice every edge case, and workflows that were never designed for “AI assistants.”

You’re the person who can sit with a legal team, understand what they actually need, translate that into system behavior, and then implement it cleanly. You enjoy being the connective tissue between customers, domain experts, and the core engineering team—shipping practical improvements and leaving behind crisp documentation so the next rollout is smoother.

What you'll do

As a Forward Deployed AI Engineer, your mission is to bring Omnilex into customer environments and make it work exceptionally well—then turn what you learn into reusable product capabilities.

Customer rollouts & customization (the heart of the job)

Lead technical onboarding for new customers: ingest documents, build indexes, map metadata (jurisdiction, authority, recency), and run validation checks
Tune retrieval and reranking behavior to match customer expectations (practice area focus, internal taxonomies, document patterns, relevance definitions)
Deliver customer-specific UX and workflow adaptations: templates, default filters, jurisdiction presets, citation formatting, permission-aware retrieval, and customized result views

Production-grade LLM workflows

Adjust prompting and context strategies to meet strict requirements (grounding, traceability, citation style, explanation depth, fallback behavior)
Build and enforce guardrails: provenance tracking, source-grounded generation, “no source no statement” rules, and risk-aware uncertainty patterns suitable for legal contexts

Field iteration & quality loops

Create small but high-signal evaluation sets per customer (gold questions, acceptance criteria, “cannot fail” scenarios)
Perform fast failure analysis and ship improvements: chunking changes, deduping, reranker adjustments, query interpretation tweaks, caching, and routing strategies

Latency, cost, and operational reliability

Keep response times and usage costs sane through batching, caching, early exits, and practical fallback paths
Track quality signals and usage patterns; convert feedback into measurable fixes and clear acceptance tests

Cross-team execution & knowledge capture

Work closely with Customer Success and legal experts to convert pain into engineering work
Write deployment playbooks and integration “recipes” so customer solutions become repeatable patterns over time

What you bring

Must-haves

Strong practical experience building or adapting search/retrieval systems in production (hybrid retrieval, reranking, indexing, query understanding)
Experience taking LLM features from prototype to stable, real-world usage
Solid TypeScript/Node.js skills (our core stack)
Hands-on experience with at least one of: Azure AI Search, pgvector/PostgreSQL, OpenSearch/Elasticsearch (or comparable systems)
Strong engineering judgment: debugging skills, performance tuning, careful edge-case handling, and operational thinking
Comfortable working directly with customers: deep technical sessions, trade-off explanations, and clear written documentation
Fluent English; available full-time.
Hybrid setup: at least two days per week on-site in Zurich.

Nice-to-haves

German proficiency (many sources and stakeholder conversations are German-speaking)
Experience integrating customer document sources and pipelines (connectors, ETL, access controls)
Experience with lightweight evaluation processes (human labeling loops, basic agreement checks, simple dashboards)
Familiarity with sparse + dense retrieval approaches (BM25 variants included)
Experience running and operating services (Docker a plus)
Familiarity with Azure / NestJS / Next.js
Exposure to Swiss / German / US legal systems

Benefits

Tangible customer impact: your work directly affects daily trust and adoption inside legal teams
High ownership: you run deployments end-to-end and help define reusable solution patterns
Fast feedback loops: you’ll see real failure modes early and influence product direction with evidence
Compensation: CHF 8’000–12’000 per month + ESOP, depending on experience and skills

Jetzt bewerben

Erweiterte Suche

data engineer data integration platform Jobs in zug zg