Servant

Servant

AI Engineer (Human-Led AI Orchestration + Action Points)

United States

Sponsorship not specified$20k-$40kDetected 2 days ago
PythonFastAPIGitVector DatabasesAzureCloud PlatformsCI/CDMachine LearningLLMsAgentic AIMLOpsAI OrchestrationCommunicationCollaboration

About the role

  • You will work across LLMs, agentic workflows, and AI pipelines to ensure AI remains a tool governed by human intent, not an autonomous system.

Responsibilities

  • 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.
  • 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.
  • Implement low-latency voice ingestion using Azure Speech SDK for real-time transcription, intent detection, and multilingual support.
  • Collaborate with frontend and backend engineers to expose AI capabilities via secure APIs.
  • Performance, Ethics & Governance Optimize inference latency, throughput, and cost efficiency.
  • Apply responsible AI principles: transparency, auditability, and human override by design.

Requirements

  • Hands-on experience with LLMs (OpenAI API or similar).
  • Proficiency with Git and collaborative development workflows.
  • Preferred Qualifications Experience with vector databases (e.g., PGVector).

Nice to have

  • 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.
  • This role is outcome-driven, not hour-tracked.
  • Experience working in cloud-based AI environments (Azure preferred).

Skills

  • About Our Client Servant is partnering with a forward-thinking organization focused on helping teams work smarter, not harder.
  • Translate unstructured data into structured Action Points™ aligned with user goals.
  • Architect real-time speech-to-text pipelines for AI control, command execution, and Action Point generation.
  • 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.
  • Ensure AI systems scale reliably in cloud environments (Azure-based).
  • Implement observability, logging, and monitoring for AI workflows.

Compensation

  • $20k-$40k

Benefits

  • Flexible Hours & Compensation Our client offers a flexible work structure of 20-40 hours per week, depending on role scope and workload.
  • 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.
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This listing is sourced directly from Servant's careers page and normalized into a canonical job model.