Servant

- 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.

Role Description Our client is building the world’s first Human-Led AI Orchestration Layer—a platform designed to keep humans firmly in control of AI through clarity, accountability, and execution via our proprietary Action Points. As an AI Engineer, you will design and implement the intelligence layer that translates raw information into human-directed outcomes. You will work across LLMs, agentic workflows, and AI pipelines to ensure AI remains a tool governed by human intent, not an autonomous system. Everything you build is expected to be revenue-ready, secure, and production-grade. Key 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. - 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. Qualifications - 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 work structure of 20–40 hours per week, depending on role scope and workload. - Outcome-driven role, not hour-tracked. - Compensation as a fixed monthly stipend, aligned to responsibilities and expected ownership. - Stipend remains consistent as long as commitments are met and performance remains strong. - Environment requires clear ownership and follow-through, proactive communication, and 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.

• Design and implement the identity, access, and security foundation of the Human-Led AI Orchestration Layer • Ensure that every Action Point™, AI decision, and workflow is securely authorized, auditable, and aligned with human intent • Implement and manage authentication using Clerk across frontend and backend • Design RBAC and permission models aligned with human-led decision workflows • Implement secure session handling, JWT validation, and token lifecycles • Integrate identity flows with FastAPI (Python) backend services • Support secure authentication flows in React + TypeScript frontend applications • Ensure consistent authorization enforcement across APIs, services, agents, tools, and data access layers • Implement best practices for OAuth2, JWT, CORS, CSRF protection, and rate limiting • Harden APIs and identity boundaries for multi-tenant SaaS use cases • Document identity architecture and provide knowledge transfer to the team • Design and implement identity and permission models for AI agents, tools, and automated workflows • Define and enforce capability-based permission scopes for agents

Role Description Our client is redefining how humans govern technology. As the Identity & Security Engineer, you will design and implement the identity, access, and security foundation of the Human-Led AI Orchestration Layer. You will ensure that every Action Point™, AI decision, and workflow is securely authorized, auditable, and aligned with human intent. This role sits at the intersection of frontend, backend, and cloud security. Everything you build is expected to be revenue-ready and enterprise-grade. Key Responsibilities - Identity & Authentication - Implement and manage authentication using Clerk across frontend and backend. - Design RBAC and permission models aligned with human-led decision workflows. - Implement secure session handling, JWT validation, and token lifecycles. - Backend & Frontend Integration - Integrate identity flows with FastAPI (Python) backend services. - Support secure authentication flows in React + TypeScript frontend applications. - Ensure consistent authorization enforcement across APIs, services, agents, tools, and data access layers. - Security & Compliance - Implement best practices for OAuth2, JWT, CORS, CSRF protection, and rate limiting. - Harden APIs and identity boundaries for multi-tenant SaaS use cases. - Document identity architecture and provide knowledge transfer to the team. - Agent & AI Action Security - Design and implement identity and permission models for AI agents, tools, and automated workflows. - Define and enforce capability-based permission scopes for agents (what actions they can take, on what data, in which contexts). - Implement human-in-the-loop approval gates and policy enforcement points for sensitive or high-impact actions. - Prevent privilege escalation, cross-tenant access, and unauthorized tool or data usage by agents. - Design sandboxing and blast-radius containment strategies for semi-autonomous workflows. Qualifications - Hands-on experience implementing authentication and authorization in web applications. - Strong experience with Clerk (or equivalent identity providers). - Deep understanding of OAuth2, JWT, and session management. - Experience with FastAPI (Python) backend systems. - Frontend integration experience with React + TypeScript. - Strong security fundamentals and threat-model awareness. - Proficiency with Git and remote collaboration. Preferred Qualifications - Experience with Azure deployments and DevOps workflows. - Familiarity with Infrastructure-as-Code. - Experience implementing RBAC in multi-tenant SaaS platforms. - Background securing workflow or decision-support systems. Benefits - Flexible work structure of 20–40 hours per week, depending on role scope and workload. - Outcome-driven role, not hour-tracked. - Compensation provided as a fixed monthly stipend, aligned to responsibilities and expected ownership. - Stipend remains consistent as long as commitments are met and performance remains strong. - Environment requires clear ownership and follow-through, proactive communication, and 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.

• Build scalable API services. • Integrate Clerk Authentication for identity, RBAC, token validation, and authorization. • Implement core backend for human-led AI workflows. • Support multi-tenant architecture, secure session management, and API hardening. • Deploy and manage Azure infrastructure (Functions, App Services, AKS, Key Vault). • Build and maintain CI/CD pipelines (GitHub Actions or Azure DevOps). • Implement Infrastructure-as-Code using Terraform or Bicep. • Configure monitoring, logging, observability, and uptime automation. • Optimize cloud cost, performance, and reliability.

• Design, deploy, and manage Azure infrastructure (App Services, Functions, AKS, Key Vault). • Implement Infrastructure-as-Code using Terraform.. • Ensure high availability, fault tolerance, and secure system boundaries. • Optimize cloud cost, performance, and reliability. • Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions. • Automate testing, deployments, and environment promotion. • Improve developer experience and release velocity across teams. • Support backend services (FastAPI, Python) with deployment, scaling, and runtime optimization. • Assist with API observability, logging, and performance tuning. • Collaborate closely with backend engineers to unblock delivery and reduce operational overhead. • Implement secure networking, secrets management, and identity controls. • Configure monitoring, alerting, and incident response workflows. • Enforce best practices around containerization (Docker) and orchestration (AKS).

About Our Client Servant is partnering with a forward-thinking organization focused on helping teams work smarter, not harder. By combining thoughtful strategy, intuitive tools, and a people-first mindset, enabling organizations to optimize how work gets done—improving efficiency, clarity, and outcomes across the business. With a strong emphasis on collaboration and continuous improvement, our client partners closely with its customers to solve real-world challenges and deliver practical, scalable solutions. The team values curiosity, ownership, and impact, and is committed to building products and experiences that genuinely support the way people work today. As our client continues to grow, they are investing in talented, mission-driven individuals who want to shape the future of work and make a meaningful difference for customers and teammates alike. Role Summary The role of Backend Engineer is foundational to our clients Human-Led AI Orchestration Layer. You will build secure, scalable backend infrastructure and DevOps systems that power authentication, multi-tenant access, Action Points™, Metadata layer and Human-led AI orchestration flows. You are both a backend engineer and an infra-minded builder, capable of delivering fast APIs, secure data boundaries, Azure infrastructure, and Clerk-driven identity across the platform. Everything you build is expected to be revenue-ready. Key Responsibilities Backend Engineering - Build scalable API services. - Integrate Clerk Authentication for identity, RBAC, token validation, and authorization. - Implement core backend for human-led AI workflows. - Support multi-tenant architecture, secure session management, and API hardening. DevOps / Cloud Engineering - Deploy and manage Azure infrastructure (Functions, App Services, AKS, Key Vault). - Build and maintain CI/CD pipelines (GitHub Actions or Azure DevOps). - Implement Infrastructure-as-Code using Terraform or Bicep. - Configure monitoring, logging, observability, and uptime automation. - Optimize cloud cost, performance, and reliability.

About Our Client Servant is partnering with a forward-thinking organization focused on helping teams work smarter, not harder. By combining thoughtful strategy, intuitive tools, and a people-first mindset, enabling organizations to optimize how work gets done—improving efficiency, clarity, and outcomes across the business. With a strong emphasis on collaboration and continuous improvement, our client partners closely with its customers to solve real-world challenges and deliver practical, scalable solutions. The team values curiosity, ownership, and impact, and is committed to building products and experiences that genuinely support the way people work today. As our client continues to grow, they are investing in talented, mission-driven individuals who want to shape the future of work and make a meaningful difference for customers and teammates alike. Role Summary The role of Backend Engineer is foundational to our clients Human-Led AI Orchestration Layer. You will build secure, scalable backend infrastructure and DevOps systems that power authentication, multi-tenant access, Action Points™, Metadata layer and Human-led AI orchestration flows. You are both a backend engineer and an infra-minded builder, capable of delivering fast APIs, secure data boundaries, Azure infrastructure, and Clerk-driven identity across the platform. Everything you build is expected to be revenue-ready. Key Responsibilities Backend Engineering - Build scalable API services. - Integrate Clerk Authentication for identity, RBAC, token validation, and authorization. - Implement core backend for human-led AI workflows. - Support multi-tenant architecture, secure session management, and API hardening. DevOps / Cloud Engineering - Deploy and manage Azure infrastructure (Functions, App Services, AKS, Key Vault). - Build and maintain CI/CD pipelines (GitHub Actions or Azure DevOps). - Implement Infrastructure-as-Code using Terraform or Bicep. - Configure monitoring, logging, observability, and uptime automation. - Optimize cloud cost, performance, and reliability.

About Our Client Servant is partnering with a forward-thinking organization focused on helping teams work smarter, not harder. By combining thoughtful strategy, intuitive tools, and a people-first mindset, enabling organizations to optimize how work gets done—improving efficiency, clarity, and outcomes across the business. With a strong emphasis on collaboration and continuous improvement, our client partners closely with its customers to solve real-world challenges and deliver practical, scalable solutions. The team values curiosity, ownership, and impact, and is committed to building products and experiences that genuinely support the way people work today. As our client continues to grow, they are investing in talented, mission-driven individuals who want to shape the future of work and make a meaningful difference for customers and teammates alike. Role Summary The role of Backend Engineer is foundational to our clients Human-Led AI Orchestration Layer. You will build secure, scalable backend infrastructure and DevOps systems that power authentication, multi-tenant access, Action Points™, Metadata layer and Human-led AI orchestration flows. You are both a backend engineer and an infra-minded builder, capable of delivering fast APIs, secure data boundaries, Azure infrastructure, and Clerk-driven identity across the platform. Everything you build is expected to be revenue-ready. Key Responsibilities Backend Engineering - Build scalable API services. - Integrate Clerk Authentication for identity, RBAC, token validation, and authorization. - Implement core backend for human-led AI workflows. - Support multi-tenant architecture, secure session management, and API hardening. DevOps / Cloud Engineering - Deploy and manage Azure infrastructure (Functions, App Services, AKS, Key Vault). - Build and maintain CI/CD pipelines (GitHub Actions or Azure DevOps). - Implement Infrastructure-as-Code using Terraform or Bicep. - Configure monitoring, logging, observability, and uptime automation. - Optimize cloud cost, performance, and reliability.

About Our Client Servant is partnering with a forward-thinking organization focused on helping teams work smarter, not harder. By combining thoughtful strategy, intuitive tools, and a people-first mindset, enabling organizations to optimize how work gets done—improving efficiency, clarity, and outcomes across the business. With a strong emphasis on collaboration and continuous improvement, our client partners closely with its customers to solve real-world challenges and deliver practical, scalable solutions. The team values curiosity, ownership, and impact, and is committed to building products and experiences that genuinely support the way people work today. As our client continues to grow, they are investing in talented, mission-driven individuals who want to shape the future of work and make a meaningful difference for customers and teammates alike. Role Summary The role of Backend Engineer is foundational to our clients Human-Led AI Orchestration Layer. You will build secure, scalable backend infrastructure and DevOps systems that power authentication, multi-tenant access, Action Points™, Metadata layer and Human-led AI orchestration flows. You are both a backend engineer and an infra-minded builder, capable of delivering fast APIs, secure data boundaries, Azure infrastructure, and Clerk-driven identity across the platform. Everything you build is expected to be revenue-ready. Key Responsibilities Backend Engineering - Build scalable API services. - Integrate Clerk Authentication for identity, RBAC, token validation, and authorization. - Implement core backend for human-led AI workflows. - Support multi-tenant architecture, secure session management, and API hardening. DevOps / Cloud Engineering - Deploy and manage Azure infrastructure (Functions, App Services, AKS, Key Vault). - Build and maintain CI/CD pipelines (GitHub Actions or Azure DevOps). - Implement Infrastructure-as-Code using Terraform or Bicep. - Configure monitoring, logging, observability, and uptime automation. - Optimize cloud cost, performance, and reliability.