AI Engineer – Human-Led AI Orchestration, Action Points

🔥 2 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Servant

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🤝 B2B

🤖 Artificial Intelligence

🤝 Non-profit

B2B • Artificial Intelligence • Non-profit

Servant is a full-service digital agency that helps faith-driven leaders, nonprofits, and mission-focused businesses amplify their impact through strategy, technology, and transformative digital experiences. They offer strategic consulting, organizational growth support, custom product and platform development, AI strategy and automation, and talent fulfillment—working closely with churches, ministries, universities, and nonprofits to scale reach, increase fundraising, and streamline operations. Servant highlights measurable impact (300M+ people reached, $13M+ funds secured, solutions in 30+ languages) and positions itself as a mission-aligned partner for organizations seeking growth without losing core values.

📋 Description

• - Design and implement AI-driven workflows that generate actionable, human-directed insights. • - Build and optimize LLM-powered systems for summarization, recommendation, classification, and orchestration. • - Implement agentic AI patterns that operate under explicit human guardrails and approval flows. • - Translate unstructured data into structured Action Points™ aligned with user goals. • - Develop and maintain prompt architectures and evaluation frameworks for consistent AI output quality. • - Architect and develop semi-autonomous AI agents with mandatory human-in-the-loop control points, safety guardrails, and review checkpoints. • Voice to Text • - Design and implement AI-driven voice workflows that generate actionable, human-directed insights. • - Architect real-time speech-to-text pipelines for AI control, command execution, and Action Point generation. • - Implement low-latency voice ingestion using Azure Speech SDK for real-time transcription, intent detection, and multilingual support. • - Ensure voice inputs are securely processed, auditable, and aligned with human authorization and approval flows. • - Translate spoken input into structured, human-directed Action Point that govern downstream AI agents. • Integration & Deployment • - Deploy AI services using FastAPI and integrate them securely with backend systems. • - Collaborate with frontend and backend engineers to expose AI capabilities via secure APIs. • - Ensure AI systems scale reliably in cloud environments (Azure-based). • Performance, Ethics & Governance • - Optimize inference latency, throughput, and cost efficiency. • - Implement observability, logging, and monitoring for AI workflows. • - Apply responsible AI principles: transparency, auditability, and human override by design.

🎯 Requirements

• - Strong experience in Python with AI/ML systems. • - Hands-on experience with LLMs (OpenAI API or similar). • - Experience deploying AI services with FastAPI. • - Familiarity with agentic AI frameworks and orchestration patterns. • - Experience working in cloud-based AI environments (Azure preferred). • - Solid understanding of data processing, evaluation, and optimization. • - Proficiency with Git and collaborative development workflows. • Preferred Qualifications • - Experience with vector databases (e.g., PGVector). • - Familiarity with MLOps practices and AI CI/CD pipelines. • - Experience with prompt engineering and evaluation frameworks. • - Exposure to multi-tenant SaaS AI systems.

🏖️ Benefits

• **Flexible Hours & Compensation** • Our client offers a flexible work structure of **20–40 hours per week**, depending on role scope and workload. This role is outcome-driven, not hour-tracked. • Compensation is provided as a **fixed monthly stipend**, aligned to responsibilities and expected ownership. The stipend remains consistent as long as commitments are met and performance remains strong. • This environment requires: • - Clear ownership and follow-through • - Proactive communication • - Consistent, high-quality delivery • Flexibility is paired with accountability—team members are trusted to manage their time while ensuring outcomes, team continuity, and customer commitments are fully upheld.