Forward Deployed Engineer

Resilient Co.

. Deploy Agentic systems into production at major enterprises .

Posted 11/1/2026full-timeChileMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying AI systems and integrating them with customer environments, focusing on production-quality code and effective communication with clients. Proven ability to lead architecture decisions and improve platform performance through collaboration and continuous iteration.

Highest-signal resume keywords

AI System DeploymentBackend EngineeringAPI IntegrationProduction System ScalingArchitecture Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringProduction-Quality CodeEnd-to-End System DevelopmentAI / LLM FamiliarityTypeScriptGoPython

Soft Skills

Clear CommunicationOwnership MindsetProblem-Solving

Tools & Technologies

Cloud InfrastructureMCPAPIs

Industry Keywords

AI AgentsAutomationConversational SystemsCustomer-Facing RolesFast-Growing Startup Experience

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 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
Ability to work as a generalist and 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
Experience in forward deployed, solutions engineering, or customer-facing roles (nice to have)
Exposure to AI agents, automation, or conversational systems (nice to have)
Experience in a fast-growing startup (nice to have)
Familiarity with cloud environments (nice to have)
Experience with TypeScript, Go, or Python (nice to have)

Benefits

Comp & perks

Home office arrangement
Local client travel
Early-stage stock options
Great salary (amount not specified)