AI Futures

Full Stack Agentic AI Engineer | VC-Backed AI Start Up

Stellenbeschreibung:

Full Stack Agentic AI Engineer - VC-Backed AI Start Up - Munich

AI Futures are partnered with a high-potential AI Start-Up, who are in a stage of hyper-growth. They are specialised in building and shipping enterprise-grade Agentic AI solutions to large corporates across Germany.

With a strong pipeline of existing and forecasted projects, they are in a position to rapidly scale. We are searching for ambitious, talented Full Stack AI Engineers to be a part of an exciting growth story.

The Role:

  • Build and deploy full‑stack applications that interface with multimodal and agentic AI systems
  • Design and implement autonomous agent workflows, tools, and orchestration layers
  • Create scalable backend services and APIs powering enterprise‑grade Agentic AI features
  • Integrate LLMs, vector databases, retrieval pipelines, memory systems, and tool‑calling frameworks
  • Collaborate closely with founders to prototype, iterate, and ship solutions at high velocity
  • Engineer robust evaluation pipelines and safeguards for complex agent behaviour
  • Optimize for performance, latency, and reliability across the stack
  • Contribute to architecture decisions and help shape the early engineering culture

The Candidate:

  • Hands-on experience building with LLMs, RAG pipelines, agent frameworks, or autonomous AI systems
  • Experience with cloud-native environments (AWS, GCP, or Azure)
  • Comfortable working in a fast-paced early-stage startup environment
  • Familiarity with vector databases (Pinecone, Weaviate, Chroma etc.) and LLM tooling (LangChain, OpenAI API, custom tool calling)
  • Ability to translate ambiguous product requirements into working, production-ready systems
  • A builder mindset: resourceful, curious, pragmatic, and not afraid to push boundaries

If you are a fit for the role, and are interested to be a part of this story, please apply below.

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Stelleninformationen

  • Veröffentlichungsdatum:

    18 Mär 2026
  • Standort:

    München
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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