Senior AI Platform Engineer - Forward Deployed

Gorilla Logic; Colombia; On-site; COP 342,540,000 - 467,101,000; Full time

Job summary

Gorilla Logic in Colombia is seeking a Senior Forward Deployed Engineer to design, build, integrate, and operationalize an enterprise AI Harness that enables teams to safely deploy, orchestrate, govern, observe, evaluate, and scale AI agents across client environments.

You will contribute to backend services, platform capabilities, and lightweight frontend experiences, building reusable components and patterns for reliable AI-powered solutions.

Qualifications

• 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.

Responsibilities

• Design and build production-grade services, APIs, SDKs, internal tools, and reusable platform capabilities.
• Develop systems that combine AI agents, tools, deterministic workflows, APIs, events, and human approval steps.
• Implement execution capabilities such as 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 internal or external APIs.
• Connect the Harness with platforms such as 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 capabilities 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 quickly 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.

Job description

Gorilla Logic in Colombia is seeking a Senior Forward Deployed Engineer to design, build, integrate, and operationalize an enterprise AI Harness that enables teams to safely deploy, orchestrate, govern, observe, evaluate, and scale AI agents across client environments.

You will contribute to backend services, platform capabilities, and lightweight frontend experiences, building reusable components and patterns for reliable AI-powered solutions.