Forward Deployed Engineer

🕒 vor 7 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $90.000 - $130.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

👷🏻‍♀️ Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 0%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Warum dieser Wert:

• Seit 7 Tagen offen.
• Stellen bei diesem Unternehmen werden meist in 45 Tagen besetzt.

Jetzt Bewerben

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Accellor

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

💼 Beratung

🏥 Gesundheitswesen

🏨 Gastgewerbe

Consulting • Healthcare • Hospitality

Accellor ist ein Unternehmen, das KI-gesteuerte Lösungen für verschiedene Branchen anbietet und sich darauf konzentriert, Effizienz und Engagement durch fortschrittliche Anwendungen und Datenstrategien zu verbessern. Ihre Dienstleistungen umfassen die Nutzung künstlicher Intelligenz für Unternehmensanwendungen, Produktentwicklung und Cloud-Services, um Branchen wie Gesundheitswesen, Fertigung, Finanzdienstleistungen, Immobilien, Einzelhandel, Reisen und Gastgewerbe zu transformieren. Accellor arbeitet mit Technologieführern wie Salesforce und Microsoft Dynamics 365 zusammen, um personalisierte, intelligente Geschäftsanwendungen bereitzustellen. Verpflichtet zu verantwortungsvollen KI-Praktiken, unterstützt Accellor Unternehmen dabei, das Potenzial von Daten und KI zu nutzen, um strategische Entscheidungen voranzutreiben, Abläufe zu automatisieren und überlegene Erlebnisse zu bieten.

Beschreibung

• Develop features, resolve defects, refactor applications, and create automated tests using AI-assisted development tools • Use Cursor and other coding environments for repository exploration, implementation, debugging, testing, and code review • Translate product requirements into engineering tasks, technical approaches, and acceptance criteria • Own code quality and delivery readiness, including changes produced by AI models or agents • Collaborate with product, engineering, and quality teams to deliver reliable software releases • Design and maintain prompts, repository instructions, context strategies, and reusable software-engineering workflows • Provide models with relevant architecture, dependencies, coding standards, constraints, and expected outcomes • Establish repeatable evaluations for correctness, consistency, requirement coverage, and human intervention needs • Improve prompts and workflows using test results, code reviews, and delivery outcomes • Build coordinated coding-agent groups for planning, implementation, testing, review, and documentation • Design task delegation, handover, takeover, and recovery workflows with clear ownership and shared task state • Manage parallel execution, dependencies, isolated workspaces, and integration conflicts • Define tool access, execution boundaries, and human review checkpoints • Ensure agent-produced changes are traceable, reviewable, tested, and integrated • Select models and tools based on task requirements, quality, latency, and cost • Optimize context size, token consumption, model routing, retries, and agent execution overhead • Establish baselines and measure development throughput, delivery time, review effort, and AI expenditure • Report weekly and monthly delivery trends, including pull requests raised and merged • Share validated practices and reusable tools that improve the wider engineering team’s effectiveness

🎯 Anforderungen

• 0–4 years of relevant experience in software engineering, AI engineering, or applied AI development; academic, personal, and open-source projects will also be considered • Proficiency in at least one programming language, such as Python, TypeScript/JavaScript, Java, Go, or C# • Hands-on experience applying frontier models, including OpenAI models or Anthropic Claude, to software development • Practical experience with Cursor or comparable AI coding environments • Strong prompt engineering skills, including task decomposition, context preparation, structured outputs, and iterative evaluation • Working knowledge of Git, pull requests, debugging, automated testing, APIs, and CI/CD • Ability to understand existing codebases and independently assess the correctness of AI-generated code • Clear communication, collaborative working habits, and ownership of engineering outcomes • Preferred: experience developing workflows with multiple coding agents, including delegation, handover, and integration • Preferred: familiarity with model APIs, tool calling, Model Context Protocol (MCP), and agent orchestration frameworks • Preferred: experience evaluating prompts and models using defined datasets, acceptance criteria, and automated checks • Preferred: experience monitoring AI usage, engineering productivity, and cost efficiency • Preferred: exposure to cloud platforms, containers, deployment automation, and application observability • Preferred: portfolio of working software demonstrating effective use of AI tools, supported by tests and technical documentation

🏖️ Vorteile

• Flexible and discretionary time off • Healthcare coverage for you and your loved ones • Retirement savings plan • Flexible spending accounts • Health savings accounts • Life and AD&D insurance • Opportunities for professional development • Annual bonus may be available

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