Senior Forward Deployed Engineer, AI Platform

Gorilla Logic

. Design and build production-grade services, APIs, SDKs, internal tools, and reusable platform capabilities .

Posted 9/15/2026full-timeRemote • ColombiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building production-grade services, APIs, and internal tools, with a strong focus on cloud platforms such as AWS, Azure, or Google Cloud. Proficient in implementing AI agents, orchestration patterns, and ensuring system reliability and scalability through effective architectural decisions.

Highest-signal resume keywords

Production Software Systems DesignAPI DevelopmentCloud Platform ExperienceAsynchronous ProcessingTechnical Discovery and Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptJavaScriptJavaKotlinC#GoSQLREST APIsGraphQL

Soft Skills

Client-Facing CommunicationProblem-SolvingAutonomous Work

Tools & Technologies

AWSAzureGoogle CloudKubernetesCI/CDContainersServerless ComputingIAMOpenTelemetryMCP

Industry Keywords

AI AgentsDistributed SystemsEnterprise IntegrationsOrchestration PatternsAutomation Solutions

Tech Stack

Tools & technologies

AngularAWSAzureCloudDistributed SystemsGraphQLJavaJavaScriptKotlinKubernetesPythonReactSQLTypeScriptVue.jsGo

About the role

Key responsibilities & impact

Design and build production-grade services, APIs, SDKs, internal tools, and reusable platform capabilities
Develop systems combining AI agents, tools, deterministic workflows, APIs, events, and human approval steps
Implement agent runtimes, model invocation, reusable skills, backend services, and automated actions
Build orchestration patterns involving routing, sequencing, parallel execution, delegation, retries, checkpoints, scheduling, memory, and state management
Integrate enterprise context through MCP, RAG, repositories, tickets, documents, databases, search systems, and APIs
Connect the Harness with GitHub, Azure DevOps, Jira, Slack, cloud services, SaaS products, and internal applications
Implement identity, permissions, policies, approval gates, guardrails, access controls, audit trails, and operational kill switches
Build observability for agent activity, distributed traces, logs, metrics, token consumption, model and tool calls, failures, latency, and cost
Create automated evaluations, benchmark datasets, regression suites, quality thresholds, hallucination checks, and model or prompt comparisons
Improve developer experience through APIs, SDKs, CLIs, templates, configuration systems, documentation, and reusable reference implementations
Build lightweight user interfaces, administrative tools, approval experiences, or operational dashboards when required
Deploy and operate solutions across AWS, Azure, or Google Cloud using containers, serverless services, CI/CD, infrastructure as code, IAM, networking, and secrets management
Conduct technical discovery in unfamiliar client environments and translate business and technical needs into scalable implementation patterns
Move from discovery and experimentation to working integrations and production-ready solutions
Communicate architecture decisions, risks, and trade-offs to client engineers, architects, product teams, and technical leadership

Requirements

What you’ll need

Senior-level experience designing, building, and operating production software systems
Deep expertise in at least one area of software engineering, such as backend, full-stack, frontend, platform, cloud, data, or quality engineering
Proficiency in one or more programming languages such as Python, TypeScript, JavaScript, Java, Kotlin, C#, or Go
Experience building APIs, services, enterprise integrations, or distributed systems
Understanding of asynchronous processing, events, state management, scalability, reliability, and architectural trade-offs
Experience with REST APIs, GraphQL, webhooks, message queues, databases, and authentication
Experience with at least one major cloud platform: AWS, Azure, or Google Cloud
Familiarity with containers, serverless computing, CI/CD, IAM, networking, storage, and secrets management
Working knowledge of LLM APIs, tool calling, structured outputs, embeddings, RAG, AI agents, and model selection
Understanding of when to use agents, deterministic workflows, automation, or traditional software components
Experience with SQL, data models, retrieval systems, indexing, or vector stores
Ability to troubleshoot systems across applications, infrastructure, APIs, data sources, and external integrations
Strong technical discovery, prototyping, problem-solving, and client-facing communication skills
Ability to work autonomously in environments with ambiguity and evolving requirements
Preferred: Experience building AI platforms, internal developer platforms, workflow systems, or enterprise automation solutions
Preferred: Experience with MCP, agent orchestration frameworks, multi-agent systems, or tool integration patterns
Preferred: Experience with Kubernetes, infrastructure as code, distributed tracing, or OpenTelemetry
Preferred: Experience building automated evaluations for AI agents, prompts, models, or retrieval systems
Preferred: Experience with modern frontend frameworks such as React, Angular, or Vue
Preferred: Experience creating SDKs, CLIs, templates, internal tools, or developer documentation
Preferred: Experience working directly with client engineering, architecture, security, or product teams

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Gorilla Logic Website LinkedIn All Job Openings 501 - 1000 employees 💼 Consulting 📣 Marketing 📦 Logistics Consulting
Marketing
Logistics Gorilla Logic is a company renowned for its expertise in modern software and data engineering. Serving as a strategic partner rather than just a vendor, Gorilla Logic specializes in digital product design, cloud engineering, data and AI delivery, DevOps, quality assurance, and legacy modernization. With a team of skilled digital product designers, solutions architects, and Agile nearshore teams, Gorilla Logic has been instrumental in developing business-critical software applications for Fortune 500 and SMB companies for over 20 years. Their services include creating SaaS platforms, enhancing digital experiences, and providing flexible, security-focused solutions. Gorilla Logic operates with teams located in Costa Rica, Colombia, Mexico, and the United States, emphasizing collaborative partnerships to deliver cutting-edge digital engineering solutions. Senior Forward Deployed Engineer, AI Platform Job not on LinkedIn 🔥 0 minutes ago 🌐 Colombia, Costa Rica – Remote ⏰ Full Time 🟠 Senior 🤖 AI Engineer 👻 Ghost score 10% Angular AWS Azure Cloud Distributed Systems GraphQL Java JavaScript Kotlin Kubernetes Python React SQL TypeScript Vue.js Go Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design and build production-grade services, APIs, SDKs, internal tools, and reusable platform capabilities
Develop systems combining AI agents, tools, deterministic workflows, APIs, events, and human approval steps
Implement agent runtimes, model invocation, reusable skills, backend services, and automated actions
Build orchestration patterns involving routing, sequencing, parallel execution, delegation, retries, checkpoints, scheduling, memory, and state management
Integrate enterprise context through MCP, RAG, repositories, tickets, documents, databases, search systems, and APIs
Connect the Harness with GitHub, Azure DevOps, Jira, Slack, cloud services, SaaS products, and internal applications
Implement identity, permissions, policies, approval gates, guardrails, access controls, audit trails, and operational kill switches
Build observability for agent activity, distributed traces, logs, metrics, token consumption, model and tool calls, failures, latency, and cost
Create automated evaluations, benchmark datasets, regression suites, quality thresholds, hallucination checks, and model or prompt comparisons
Improve developer experience through APIs, SDKs, CLIs, templates, configuration systems, documentation, and reusable reference implementations
Build lightweight user interfaces, administrative tools, approval experiences, or operational dashboards when required
Deploy and operate solutions across AWS, Azure, or Google Cloud using containers, serverless services, CI/CD, infrastructure as code, IAM, networking, and secrets management
Conduct technical discovery in unfamiliar client environments and translate business and technical needs into scalable implementation patterns
Move from discovery and experimentation to working integrations and production-ready solutions
Communicate architecture decisions, risks, and trade-offs to client engineers, architects, product teams, and technical leadership 🎯 Requirements
Senior-level experience designing, building, and operating production software systems
Deep expertise in at least one area of software engineering, such as backend, full-stack, frontend, platform, cloud, data, or quality engineering
Proficiency in one or more programming languages such as Python, TypeScript, JavaScript, Java, Kotlin, C#, or Go
Experience building APIs, services, enterprise integrations, or distributed systems
Understanding of asynchronous processing, events, state management, scalability, reliability, and architectural trade-offs
Experience with REST APIs, GraphQL, webhooks, message queues, databases, and authentication
Experience with at least one major cloud platform: AWS, Azure, or Google Cloud
Familiarity with containers, serverless computing, CI/CD, IAM, networking, storage, and secrets management
Working knowledge of LLM APIs, tool calling, structured outputs, embeddings, RAG, AI agents, and model selection
Understanding of when to use agents, deterministic workflows, automation, or traditional software components
Experience with SQL, data models, retrieval systems, indexing, or vector stores
Ability to troubleshoot systems across applications, infrastructure, APIs, data sources, and external integrations
Strong technical discovery, prototyping, problem-solving, and client-facing communication skills
Ability to work autonomously in environments with ambiguity and evolving requirements
Preferred: Experience building AI platforms, internal developer platforms, workflow systems, or enterprise automation solutions
Preferred: Experience with MCP, agent orchestration frameworks, multi-agent systems, or tool integration patterns
Preferred: Experience with Kubernetes, infrastructure as code, distributed tracing, or OpenTelemetry
Preferred: Experience building automated evaluations for AI agents, prompts, models, or retrieval systems
Preferred: Experience with modern frontend frameworks such as React, Angular, or Vue
Preferred: Experience creating SDKs, CLIs, templates, internal tools, or developer documentation
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