18 days ago
Remote, Colombia or Bogotá, ColombiaStaff+
Responsibilities
- Design, build, test, deploy, and maintain production AI agents, skills, prompts, tools, workflows, assistants, and automations.
- Build AI solutions using Model Context Protocol, function calling, APIs, agent frameworks, and integration technologies.
- Translate business requirements into technical designs, prototypes, and production-ready AI capabilities.
- Develop APIs, data connectors, webhooks, search integrations, retrieval-augmented generation solutions, and semantic-search capabilities.
- Build secure integrations while preserving source-system permissions, access controls, data security, and governance policies.
- Design and evaluate grounding, citations, memory, retrieval, and context-management approaches for AI applications.
- Test and evaluate AI solutions for quality, reliability, safety, performance, grounding, and production readiness.
- Administer and optimize enterprise AI platforms, including access, configuration, integrations, monitoring, and lifecycle management.
- Troubleshoot complex AI platform, integration, connector, identity, search, and data-retrieval issues.
- Establish technical standards and patterns for AI agents, integrations, configurations, testing, deployment, and security.
- Lead technical solution reviews, mentor administrators and engineers, and provide technical guidance without direct people-management authority.
- Serve as a senior technical escalation point and evaluate emerging AI capabilities for platform leadership.
Requirements
- Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations.
- Strong understanding of agents, agentic workflows, skills and tools, function calling, Model Context Protocol, prompt and context design, retrieval-augmented generation, enterprise search, and data connectors.
- Strong understanding of grounding, citations, memory, context management, model and agent evaluation, AI safety, and access controls.
- Proven ability to move AI solutions from proof of concept to stable, supportable production services.
- Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms.
- Working knowledge of enterprise security, privacy, compliance, and data-governance principles.
- Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms.
- Practical experience with several enterprise collaboration and AI platforms such as Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable products.
- Strong systems-administration knowledge, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management.
- Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills.
- Nice-to-have experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, enterprise identity providers, cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability.
- Software development experience with Python, TypeScript, JavaScript, or similar languages.
- Experience creating MCP servers, integrating MCP-compatible clients and tools, operating an enterprise AI platform, or supporting an internal AI enablement program.
- Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies.
Benefits
- Remote contract engagement for candidates located in the United States or LATAM, excluding Mexico.
- Full-time allocation of approximately 40 hours per week.
- Central Time working-hour overlap is preferred.
- Expected engagement through March 31, 2027.
- Individual-contributor technical leadership role with no direct reports.
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