Applied AI Engineer

INTERNATIONAL RESCUE COMMITTEE

Applied AI Engineer responsible for AI deployment and system configurations within humanitarian contexts. Working directly with communities to deliver impactful AI solutions for real-world challenges.

Posted 6/5/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSenior💰 $88,277 - $103,222 per yearWebsite

Tech Stack

Tools & technologies

JavaScriptPythonTypeScript

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

JavaScriptTypeScriptPythonLLM-based applicationsAI-assisted development toolssystem integrationAPI integrationdata flow considerationsconfiguration managementuser experience design

Soft Skills

problem-solvingadaptabilitycommunicationcollaborationjudgmenttrainingdocumentationfeedback interpretationiterative developmentsafety validation