2 months 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.
Tech Stack
Categories
About Lifted
Lifted builds a global platform for enterprises to source, contract, manage, and pay contingent workers with embedded compliance. The software integrates into existing contingent workforce ecosystems and supports multiple worker types across countries. Lifted operates as an Upwork company, serving organizations that need to centralize contingent programs and streamline cross‑border payments and documentation.