Applied AI Engineer

Stelle nicht auf LinkedIn

🕒 vor 17 Tagen

🗽 New York – Remote

🗽 New York – Remote

💵 $88.277 - $103.222 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🤖 Künstliche Intelligenz

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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INTERNATIONAL RESCUE COMMITTEE

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

Gegründet 1933

🤲 Wohltätigkeit

🤝 Non-Profit

🌍 Soziale Wirkung

Charity • Non-profit • Social Impact

INTERNATIONAL RESCUE COMMITTEE ist eine globale humanitäre Organisation, die auf die schwersten Krisen der Welt reagiert, indem sie Menschen hilft, zu überleben, sich zu erholen und ihr Leben wieder aufzubauen. Mit über 20. 000 Mitarbeitern in mehr als 40 Ländern bietet das IRC Nothilfe, Schutz, Gesundheitsversorgung, Bildung und wirtschaftliche Wiederaufbaudienste an und arbeitet mit lokalen Gemeinschaften und Förderern zusammen, um evidenzbasierte, skalierbare Lösungen zu entwickeln. Die Organisation legt Wert auf Integrität, Verantwortlichkeit, Gleichheit und Mitarbeitersupport und bietet umfangreiche Programme und Leistungen für ihre weltweiten Angestellten.

Beschreibung

• Lead end-to-end deployment of AI systems in program contexts, from initial scoping and configuration through live use • Adapt systems to local environments, including language, cultural context, and operational realities • Configure prompts, workflows, and AI System behavior, including conversation flows, instructional logic and user experience • Curate, structure, and validate domain-specific knowledge bases including system memory and personalization strategies to improve relevance and continuity • Ensure systems reflect real-world humanitarian knowledge that may not exist in training data • Support multiple concurrent software deployments • Test AI systems in real-world conditions to identify failure modes before scale • Apply an agile, iterative approach, rapidly building, testing, and refining systems based on real-world feedback, while exercising strong judgment on when to iterate vs. escalate or rethink approach • Conduct safety validation and red teaming to identify risks, harms, and unintended consequences ensuring responsible and ethical AI deployment in vulnerable contexts • Troubleshoot technical and operational issues, including in low-connectivity environments • Collect and interpret user and community feedback on usability, relevance, and performance • Escalate systemic issues and collaborate with engineering teams on fixes and improvements • Define and track success metrics to evaluate system performance, user engagement and real-world impact over time • Train field teams on deploying systems and managing structured handovers to ensure adoption and sustained use • Document deployment processes, configurations, and lessons learned to build institutional knowledge and support replication • Work closely with AI engineers and technical teams to translate field insights into system improvements • Collaborate with program teams and partners to align deployments with priorities • Act as the primary interface between field teams and technical development during deployment • Support scoping and technical input for proposals and cost recovery opportunities where deployment capacity is a factor • Ensure solutions are integrated into workflows in ways that are practical, adopted, and sustained • Contribute to shared learning across deployments to improve future implementation • Identify patterns across deployments and translate them into reusable frameworks and best practices to improve speed and quality for future implementations • Contribute to product design and system improvements by translating field insights into system requirements, feature priorities and roadmap input

🎯 Anforderungen

• 3–5+ years of experience in software engineering, technical implementation, or related roles • Proficiency in JavaScript/TypeScript and modern web development practices; comfort with Python or similar scripting languages a plus. • Experience deploying and iterating on LLM-based applications in real-world environments • Experience with communications or messaging platforms (e.g., Zendesk, WhatsApp, Telegram) preferred • Experience integrating AI systems with third-party platforms and business tools (e.g. CRMs, messaging platforms, APIs), with familiarity with common integration patterns, authentication approaches, and data flow considerations. • Proficiency with AI-assisted development tools (e.g. Cursor, Claude Code) and a clear-eyed understanding of their limitations and failure modes. • Strong problem-solving skills, with the ability to translate real-world challenges into technical solutions • Experience working in low-resource, high-complexity, or field-based environments • Ability to operate in ambiguous environments and define structure where none exists • Strong understanding of how AI systems behave in practice, including limitations and failure modes • Ability to work across technical and non-technical teams and translate between them • Experience training non-technical users and managing system handovers • Experience in humanitarian, development, or nonprofit contexts strongly preferred • Familiarity with East or Central Africa contexts preferred • Fluency in English required; additional regional language skills preferred.

🏖️ Vorteile

• 10 sick days • 10 US holidays • 20-25 paid time off days depending on role and tenure • medical insurance starting at $163 per month • dental starting at $6.50 per month • vision starting at $5 per month • FSA for healthcare and commuter costs • a 403b retirement savings plans with immediately vested matching • disability & life insurance • Employee Assistance Program which is available to our staff and their families to support counseling and care in times of crisis and mental health struggles