Forward Deployed Engineer

Resilient Co.

. Deploy Agentic systems into production at major enterprises .

Posted 11/1/2026full-timeBuenos Aires • ArgentinaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying AI systems into production, integrating with customer environments, and delivering high-quality software solutions. Strong ability to communicate with clients, understand their challenges, and guide them through technical implementations.

Highest-signal resume keywords

Software Engineering ExperienceBackend EngineeringAPI IntegrationAI / LLM FamiliarityCloud Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production SystemsArchitecture DecisionsTypeScriptGoPythonAI AgentsAutomationConversational SystemsEnd-to-End DevelopmentProduction Data Flows

Soft Skills

Clear CommunicationOwnership MindsetCustomer EngagementProblem SolvingCollaboration

Tools & Technologies

Cloud EnvironmentsMCP

Industry Keywords

AI-Powered SystemsSolutions EngineeringFast-Growing Startup

Tech Stack

Tools & technologies

CloudPythonTypeScriptGo

About the role

Key responsibilities & impact

Deploy Agentic systems into production at major enterprises
Work directly with customers to understand operational challenges and success criteria
Translate open-ended problems into clear technical designs and implementations
Own delivery of the platform and guide clients on best practices
Build AI agents integrating with customer systems, data sources, and APIs
Conduct ad hoc workshops with client teams
Write production-quality code supporting integrations, logic, and workflows
Own deployments, including reliability, performance, and continuous improvement
Test with real data, measure outcomes, and iterate quickly
Collaborate closely with Product and Engineering to improve the platform
Contribute to tools, documentation, and delivery practices that help the team scale

Requirements

What you’ll need

Several years of professional software engineering experience
Solid technical background as a backend engineer, full-stack engineer, or a profile close to solutions architect
Experience building and scaling end-to-end production systems
Experience leading architecture decisions
Generalist software engineering approach and ability to tackle new challenges across technologies
Experience integrating platforms into customer environments using APIs, cloud infrastructure, MCP, and production data flows
Comfortable working directly with customers and owning ambiguous problems
Clear communication skills and a strong ownership mindset
Familiarity with AI / LLMs
Genuine interest in building AI-powered systems that work in practice
Experience in forward deployed, solutions engineering, or customer-facing roles is nice to have
Exposure to AI agents, automation, or conversational systems is nice to have
Experience in a fast-growing startup is nice to have
Familiarity with cloud environments is nice to have
Experience with TypeScript, Go, or Python is nice to have

Benefits

Comp & perks

Great salary (amount not specified)
Early-stage stock options
Mix of home office and local client travel