20 beste Stellen als python backend engineer / in münchen, by – aktuell auf Personalsuche

Senior Applied AI Engineer (all genders)
Accenture —München
- Vollzeit
- Master
2 Std.
Senior Full Stack Developer (m/f/d) E-Commerce
Birkenstock Group B.V. & Co. KG —München
- Online-Bewerbung
- Salesforce
- Englisch
- Java
(Senior) Full-Stack Engineer (TypeScript + Kotlin/Java) (m/f/x)
Scalable GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
Direkt bewerben
Head of AI Engineering (f/m/x)
neoshare —München
- Vollzeit
- Master
- Flexible Arbeitszeiten
Direkt bewerben
Senior Frontend Engineer (m/w/d)
Octopus Energy Group —München
- Vollzeit
- Hybrides Arbeiten
Direkt bewerben
Senior Backend Engineer (all genders)
EnopAI GmbH & Co. KG —München
- Vollzeit
- APIs
- Homeoffice-Möglichkeit
Direkt bewerben
Senior Software Engineer (Frontend Focus) (m/f/d)
KINEXON —München
- Vollzeit
- Hybrides Arbeiten
- Master
- Wirtschaft
- Flexible Arbeitszeiten
Direkt bewerben
Information Security Lead (m/f/d)
Teleclinic GmbH —München
- Vollzeit
Forward Deployed Engineer
Growth Protocol —München
- Vollzeit
- Hybrides Arbeiten
Direkt bewerben
Senior Full Stack Engineer - Vue.js, NestJS & TypeScript (m/f/d)
Peter Park —München
- Vollzeit
- Führungserfahrung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
(Senior) Software Engineer (m/f/d) Industrial IoT
KINEXON —München
- Vollzeit
- Hybrides Arbeiten
- Master
- Flexible Arbeitszeiten
Direkt bewerben
Product Engineer Intern
Finto —München
- 30.000 € pro Jahr
- Vollzeit
- Informatik
Senior Computer Vision Engineer (Action Recognition)
Scandit —München
- Homeoffice
- Informatik
- Elektrotechnik
Direkt bewerben
Product Engineer
Finto —München
- 30.000 € – 130.000 € pro Jahr
- Vollzeit
(Senior) Software Engineer (m/f/d) - LPS Sports
KINEXON —München
- Vollzeit
- Hybrides Arbeiten
- Master
- Flexible Arbeitszeiten
Direkt bewerben
Senior AI Software Engineer (m/f/d)
Peter Park —München
- Vollzeit
- Master
- Führungserfahrung
- Kostenloser Parkplatz
- Homeoffice-Möglichkeit
Direkt bewerben
Tech Lead
Finto —München
- 30.000 € – 130.000 € pro Jahr
- Vollzeit
Werkstudent (m/w/d) AI-Produkte – Kreditvergleich
CHECK24 —München
- Teilzeit
- Informatik
- Datenanalyse
- Master
- Flexible Arbeitszeiten
- Kostenlose Verpflegung
Staff Engineer (m/f/d)
Peter Park —München
- Vollzeit
- Führungserfahrung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Senior AI Builder (w/m/d)
H&Z Unternehmensberatung GmbH —München
- Vollzeit
- Azure
- Informatik
- Systemdesign
- Weiterbildungsprogramme

Ich möchte aktuelle Job-E-Mails für Stellen als python backend engineer / in münchen, by 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

python backend engineer / jobs near münchen, by

Jobs als Computer Vision Engineer in München

Jobs als Senior Software Engineer in München

Jobs als Product Engineer in München

Jobs als Staff Engineer in München

Jobs als Full Stack Developer in München

Jobs als Werkstudent in München

Jobs als Engineering Intern in München

Jobs als Ai Developer in Düsseldorf

Jobs als Ai Developer in Nürnberg

Jobs als Low Code Developer in Berlin

Jobs als Ai Developer in Home Office

Jobs als Computer Vision Engineer in Stuttgart

Jobs als Computer Vision Engineer in Berlin

Jobs als Computer Vision Engineer in Baden Württemberg

Jobs als Senior Software Engineer in Karlsruhe

Jobs als Senior Recruiter in Berlin

Jobs als Senior Software Engineer in Köln

Jobs als Software Tester, Minijob in Home Office

Jobs als Senior Software Engineer in Stuttgart

Jobs als Junior Data Engineer in Hamburg

Senior Applied AI Engineer (all genders)

Accenture -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 2 Stunden

Qualifikationen

Master

Vollständige Stellenbeschreibung

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.

As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements.

This role sits at the heart of the AI engineering talent market — demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme.

Key Responsibilities

Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability;
Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets;
Integrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management;
Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring;
Embed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs;
Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster;
Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms.

Extensive years of software engineering experience in production environments;
Hands-on experience designing and deploying agentic AI solutions in a production environment — non-negotiable;
Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level;
Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs;
RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering;
LLMOps fundamentals: eval harness design, prompt versioning, and production observability;
Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm);
Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience;
Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure.

What we offer

The opportunity to architect and deliver AI-powered solutions for leading global enterprises across industries, technologies, and complex transformation programs;
Access to cutting-edge AI ecosystems and strategic technology partnerships, including leading cloud and AI platforms, alongside collaboration with highly experienced engineering teams;
Clear pathways to technical leadership, specialist career tracks, mentoring opportunities, and continuous professional development through certifications and advanced learning programs;
Flexible working models and hybrid work options that support sustainable work-life balance and individual ways of working;
Competitive rewards and additional financial benefits, including bonus programs, employee share purchase opportunities, and other role-specific benefits where applicable.

#LI-EU

Jetzt bewerben

Erweiterte Suche

python backend engineer / Jobs in münchen, by

Senior Applied AI Engineer (all genders)

Senior Full Stack Developer (m/f/d) E-Commerce

(Senior) Full-Stack Engineer (TypeScript + Kotlin/Java) (m/f/x)

Head of AI Engineering (f/m/x)

Senior Frontend Engineer (m/w/d)

Senior Backend Engineer (all genders)

Senior Software Engineer (Frontend Focus) (m/f/d)

Information Security Lead (m/f/d)

Forward Deployed Engineer

Senior Full Stack Engineer - Vue.js, NestJS & TypeScript (m/f/d)

(Senior) Software Engineer (m/f/d) Industrial IoT

Product Engineer Intern

Senior Computer Vision Engineer (Action Recognition)

Product Engineer

(Senior) Software Engineer (m/f/d) - LPS Sports

Senior AI Software Engineer (m/f/d)

Tech Lead

Werkstudent (m/w/d) AI-Produkte – Kreditvergleich

Staff Engineer (m/f/d)

Senior AI Builder (w/m/d)

Ich möchte aktuelle Job-E-Mails für Stellen als python backend engineer / in münchen, by erhalten

Related Searches

Weitere Job-Standorte erkunden

Key Responsibilities

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt