The AI Engineer will design and implement the intelligence layer for the world's first Human-Led AI Orchestration Layer, translating raw information into human-directed outcomes across LLMs, agentic workflows, and AI pipelines.

• Job Location: Remote (United States, Kenya, Colombia, Mexico, Nigeria, Ghana)
• Employment Type: Contract (20–40 hours per week, flexible)
• Salary: Fixed monthly stipend (aligned to responsibilities and expected ownership)

Servant is partnering with a forward-thinking organization focused on helping teams work smarter, not harder through thoughtful strategy, intuitive tools, and a people-first mindset. The organization enables businesses to optimize how work gets done—improving efficiency, clarity, and outcomes across the organization. With a strong emphasis on collaboration and continuous improvement, the team partners closely with customers to solve real-world challenges and deliver practical, scalable solutions.

AI & Intelligence Engineering

• 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 Points 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.

• 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: Experience with vector databases (e.g., PGVector), MLOps practices, AI CI/CD pipelines, prompt engineering, evaluation frameworks, and multi-tenant SaaS AI systems.

How to Apply:
Interested candidates should Apply here.

Why this job might be a good fit:
This role is suitable for an experienced AI Engineer with strong Python and LLM expertise who is passionate about building human-controlled AI systems. It offers flexible hours, remote work, and the opportunity to work on cutting-edge AI orchestration technology that keeps humans firmly in control of AI systems.

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