17 beste Stellen als full stack platform engineer in oberhaching, by – aktuell auf Personalsuche

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- Vollzeit
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- SQL
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Principal AI Vehicle Architect (f/m/x)
BMW —München
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Applied AI Engineer, ML Infrastructure Engineer / Devops - EMEA
Mistral AI —München
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Associate Product Manager (m/f/d) - Sports Technology
KINEXON —München
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Principal Vehicle AI Architect Research (f/m/x)
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Nebius —München
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Senior Software Engineer, Embedded Android
Unity Technologies GmbH —München
- 72.200 € – 90.300 € pro Jahr
- Vollzeit
- Englisch
- C++
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AI Automation Engineer (m/f/d)
SanaExpert GmbH —München
Real ownership from day one: architect and run SanaExpert's international AI stack, with the autonomy to choose your tools and set the roadmap.
Direkt bewerben
(Junior) Full-Stack Developer (m/w/d) - IdentityCheck Platform
CHECK24 —München
Motivation to grow into a full-stack role over time. A degree in Computer Science or related field (or equivalent hands-on experience).

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AI Automation Engineer (m/f/d)

SanaExpert GmbH -
München

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Ernährung
CRM-Software
Master
SQL
Zendesk
SEO
APIs
Google Ads
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

About SanaExpert

SanaExpert is a fast-growing international company in the health and nutritional supplements industry, headquartered in Munich. Present in 14 countries across the USA, Europe, and Asia, we are building an AI-first organization across customer experience, content, and digital growth. We develop and distribute all-natural, vegan, allergen-free supplements. Behind the product is a young, international, and technically ambitious team that moves fast and builds for scale. If you want to architect real-world systems that reach customers across three continents, this is where you do it. For this role we're not looking for an ML researcher, but for a strong software engineer who builds AI automation programmatically: as versioned, testable, maintainable code not as a clicked-together no-code workflow.

What You'll Do

Design, build, and operate production-grade agentic systems (RAG, tool integration, context-aware processing) that automate customer care and operations across our markets — including data-privacy requirements such as PII masking.
Connect our systems programmatically through their APIs: e-commerce (e.g. Shopify), customer support (e.g. Zendesk), CRM, and the email channel to segment, personalise, and automate customer communication end to end.
Use generative models via their APIs to produce content and creative at scale, with automated publishing workflows.
Build the tooling that measures performance: dashboards, data pipelines, automated reporting, and anomaly detection.
Decide, based on data, which processes are actually worth automating then ship those automations where they create value.
Bring your own systems to production and keep them handover-ready for a small team: clean code, tests, monitoring, documentation.

What You Bring

5+ years as a software engineer with a proven track record deploying production systems; recent hands-on experience with LLM-based / generative AI.
Strong programming skills (especially Python): clean API design, async/queues, robust error handling, idempotency in integrations (webhooks that occasionally fire twice).
LLM APIs used programmatically, in code: prompt and context engineering, structured outputs, tool calling, plus an eval/test harness that guards against regressions instead of "looks good to me".
Ability to build RAG yourself: embeddings, managed vector stores, making retrieval quality measurable.
Light data engineering: SQL, data pipelines, and automated reporting across CRM, e-commerce, and marketing data.
Deployment-capable: containers, some IaC, secrets handling, observability; you don't throw your work "over the fence to IT".
Buy-over-build judgment: a good sense of when to build custom versus leverage an existing SaaS platform, balancing cost, speed, and maintainability.
Service mindset & clear communication: you understand what non-technical teams need and build tools they actually use.

Nice to Have

Experience with fine-tuning / LoRA and deploying your own models. (Explicitly not required , at our scale the leverage is in integration and orchestration, not model training.)
Automation for performance-marketing channels (Google Ads, Meta, TikTok, Amazon) and technical/content SEO.
Sector background in supplements, nutrition, or pharma.

Languages

English (fluent / professional level)
German is a plus

What We Offer

Real ownership from day one: architect and run SanaExpert's international AI stack, with the autonomy to choose your tools and set the roadmap.
Visible impact: your systems reach customers across three continents and move real business metrics.
Work at the frontier: build with the latest LLM, agentic, and generative tooling on genuine production problems, not prototypes.
A modern office in central Munich and a flexible hybrid model.
A Wellpass membership and a genuine commitment to your well-being.
A young, international team that ships fast and decides faster.

Job Type: Full-time

Job Type: Full-time

Ability to commute/relocate:

80333 München: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

Describe briefly your hands-on experience building and deploying LLM-based or generative AI systems that ran in production (not only prototypes or course projects)

Experience:

proficient in Python: 3 years (Required)

Language:

English (Required)

Work Location: Hybrid remote in 80333 München

Direkt bewerben

Erweiterte Suche

full stack platform engineer Jobs in oberhaching, by

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Product Engineer

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Applied AI Engineer, ML Infrastructure Engineer / Devops - EMEA

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Principal Vehicle AI Architect Research (f/m/x)

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Firmware Engineer — Dexterous Hand Systems (human)

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