Braintrust

AI Fullstack Developer - ONSITE - Riyadh, Saudi Arabia

Braintrust European Union

Stellenbeschreibung:

You must be located in Riyadh, Saudi Arabia or open to traveling there and staying for 6 months.

5 days a week onsite

{ALL EXPENSES WILL BE COVERED}


Role

You will be responsible for designing and developing Aiser’s end-to-end AI platform, including backend orchestration, frontend interfaces, and consensus pipelines across multiple AI providers.


About the opportunity:

We are building a next-generation AI-powered platform. The platform integrates multiple AI providers to deliver specific outputs.


Responsibilities
  • Architect and implement multi-provider orchestration pipelines/ workflows using LangGraph (OpenAI, Claude, DeepSeek, Mistral, Perplexity, etc.)
  • Develop consensus logic to merge, cross-verify, and rank model outputs.
  • Build scalable backend infrastructure (APIs, secure model routing, monitoring).
  • Deliver intuitive frontend interfaces for exporting consulting deliverables (PPT, Excel, Word, PDF, CSV).
  • Develop and Implement RAG pipelines (vector DBs, embeddings) for business documents and knowledge-related consulting ensuring accuracy and reduced hallucinations.
  • Optimize prompt engineering for structured outputs across different use cases.
  • Build and scale backend services to support AI-powered workflows.
  • Set up CI/CD pipelines, containerization (docker), and cloud deployment (AWS/Azure).
  • Optimize for performance, latency, and cost (premium vs. bulk AI usage).
  • Ensure compliance-ready architecture suitable for global rollouts (US/EU/GCC).

Requirements
  • Proven experience in AI full-stack development with LangGraph/LangChain (backend + frontend + AI model orchestration).
  • Hands-on with multiple LLM providers (at least 3 of: OpenAI, Anthropic, DeepSeek, Mistral, Perplexity).
  • Strong backend skills (Python, Node.js) and frontend frameworks (React/Next.js).
  • Expertise with vector databases (Pinecone, Weaviate, FAISS) and RAG systems.
  • Experience in exporting structured consulting deliverables (PPT, Excel, Word, PDF).
  • Strong understanding of AI cost/latency trade-offs and fallback strategies.
  • Excellent communication and ability to document architecture clearly.
  • Candidates must provide at least 1 case study (e.g., demo links, GitHub repos, architecture slides, or project briefs) demonstrating:
    • Multi-provider AI orchestration or consensus systems.
    • Full-stack AI platform development with consulting/business deliverables.
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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Remote
  • Kategorie:

    Development & IT
  • Erfahrung:

    Erfahren
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    23 Sep 2025
  • Standort:

    European Union

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