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Senior Forward Deployed Engineer, AI
FCamara Consulting & Training. Understand business-area processes, metrics, and pain points, and identify where an agent can deliver real value .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI application within business environments, focusing on agent design, integration, and training. Proficient in TypeScript/Node.js and experienced in building and monitoring AI agents while effectively communicating with non-technical stakeholders.
Highest-signal resume keywords
AI Application ExperienceAgent Design and DevelopmentTypeScript/Node.js ProficiencyPrompt Engineering ExpertiseMCP Server Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI ApplicationAgent DesignTypeScriptNode.jsPrompt EngineeringTool CallingResponse EvaluationREST APIsSystem IntegrationsMCP Servers
Soft Skills
Strong CommunicationAutonomyImpact-Driven PrioritizationTeaching AbilityNavigating Ambiguity
Tools & Technologies
LangChainLangGraphVercel AI SDKOpenAI Agents SDKClaude Agent SDK
Industry Keywords
Business ProcessesMetricsDiscovery SessionsEnd-to-End Use CasesAI-Focused TrainingSpanish Language
Tech Stack
Tools & technologiesFlutterNode.jsRubyTypeScript
About the role
Key responsibilities & impact- Understand business-area processes, metrics, and pain points, and identify where an agent can deliver real value
- Lead discovery sessions with business teams, defining the problem, target users, expected outcome, and success criteria
- Help business teams design their agents, including decisions, data, systems consulted, and human involvement
- Build the first end-to-end use cases with business teams on the platform, including integrations and tools such as MCP servers
- Enable business teams to create and evolve their own agents through hands-on sessions, concise content, and ongoing support
- Translate field needs into product inputs, bringing gaps, patterns, and opportunities for platform improvement to the Product Manager
- Monitor agents in production for adoption, process impact, response quality, and cost
- Work with AI Engineers and developers on more complex technical implementations
- Initially lead a specific end-to-end use case; subsequently serve as a trusted resource for guiding business teams, sharing knowledge, and supporting the evolution of the platform
Requirements
What you’ll need- Quickly understand how a business operates and communicate with managers from non-technical teams
- Product mindset, impact-driven prioritization, and the ability to assess when an agent is not the right solution
- Strong communication skills to explain, persuade, and teach without technical jargon
- Previous experience delivering AI-focused training and evangelism
- Autonomy to work across teams, ask questions, and navigate ambiguity
- At least 2 years of experience applying AI in business environments and bringing LLM-based solutions into real-world use
- Experience designing and building agents with platforms or frameworks such as LangChain/LangGraph, Vercel AI SDK, OpenAI Agents SDK, Claude Agent SDK, or similar
- Strong command of prompt engineering, tool calling, RAG, and response evaluation
- Experience building or consuming MCP servers (Model Context Protocol)
- 5+ years of software development experience, with code running in production
- Strong proficiency in TypeScript/Node.js
- Knowledge of REST APIs, authentication, and system integrations
- Spanish is a plus
- Knowledge of Flutter and/or Ruby is a plus
Benefits
Comp & perks- Remote work
- Potential opportunities for international collaboration, initially through written communication
- Spanish is a plus
- Social development initiatives and programs, including the Orange Juice tech community, training program, leadership school, and partnerships with NGOs and EdTech companies
- Inclusive environment focused on Diversity, Respect, and Ethics