Principal AI Software Engineer

Emploi pas sur LinkedIn

🕒 il y a 11 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 12%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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TAXWELL

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1 - 10 employés

Fondée en 2003

⚖️ Juridique

💸 Finance

💼 Conseil

Legal • Finance • Consulting

Acteurs de niche, segment de qualité, plus de 20 ans d'expérience en matière fiscale et d'entreprise au niveau international et national, avocats spécialisés en fiscalité et droit des sociétés, contentieux devant la Cour suprême, anciens consultants du Big4, coopération étroite avec des arbitres renommés et des avocats étrangers, croissance autonome et régulière.

Description

• Lead the design, development, and deployment of AI-powered systems across Taxwell • Design and build AI-powered tools that improve productivity across engineering and non-engineering teams • Develop internal AI platforms, shared services, and reusable components • Build and maintain retrieval-augmented generation systems grounded in internal documentation, codebases, tax knowledge, and proprietary data • Partner with DevOps, platform, and security teams to ensure AI systems are scalable, observable, secure, and compliant • Embed AI capabilities into existing Taxwell products to improve accuracy, usability, personalization, and customer outcomes • Architect and build new customer-facing products where AI is a core differentiator • Collaborate with product, design, and tax domain experts to translate user problems into AI-powered solutions • Ensure AI features meet standards for reliability, explainability, and trust in the regulated tax domain • Design and implement agent-based systems using LangChain, LangGraph, ADK, or similar frameworks • Evaluate and integrate commercial and open-source AI technologies, including frontier models and open-weight LLMs • Establish best practices for prompt engineering, evaluation, monitoring, and continuous improvement • Influence AI architecture and technical direction through design reviews and hands-on collaboration • Measure system effectiveness using telemetry, automated metrics, and qualitative user feedback

🎯 Exigences

• 10+ years of software engineering experience • 3+ years operating at a Principal- or Staff-level role • Proven experience designing and deploying production AI systems used by real users • Strong hands-on experience with LLM-enabled systems, including prompt engineering, RAG, and agent orchestration • Proficiency in Python and/or TypeScript • Experience integrating AI systems with real-world applications, workflows, and data sources • Familiarity with vector databases and embedding techniques, such as Pinecone, FAISS, and Chroma • Experience deploying and operating systems on AWS, GCP, or Azure • Strong architectural judgment and ability to balance experimentation with production rigor • Experience building AI platforms or internal copilots used across multiple teams or departments • Experience developing customer-facing AI products at scale • Background in regulated industries such as fintech, tax, or healthcare • Experience fine-tuning or customizing open-weight models, such as GPT-OSS-120B, Mistral 3, and GLM-4.7

🏖️ Avantages

• Supportive, open, and inclusive atmosphere • Equal employment opportunity environment • Disability accommodations during the hiring process

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