Senior AI Automation Engineer
Senior AI Automation Engineer
Location: Remote from Colombia
.Monks Technology Services, part of Media.Monks and S4 Capital, is a global consulting firm mastering AI-powered transformations for the Fortune 100. We combine long-term strategic thinking, deep enterprise experience, and a human-centered approach to help clients transform business processes and dominate their industries.
About the Role
As a Senior AI / Orchestration Engineer, you’ll build the orchestration layer behind agentic AI systems that execute complex business workflows end to end. You’ll design systems that maintain state, determine the next best action, route agents, and incorporate human judgment at critical decision points. Working within a Monks delivery team, you’ll collaborate with clients, product teams, engineers, and domain experts to shape emerging agentic engineering patterns and turn them into production-ready solutions.
Responsibilities
Design and build agent orchestration layers, including workflow state, event-driven agent execution, and next-best-action logic
Integrate LLMs through provider-agnostic layers using platforms such as Anthropic, OpenAI, and Writer.ai
Implement structured outputs, tool-calling, retries, guardrails, and model-routing strategies
Transform unstructured inputs—including documents, transcripts, and business records—into reliable, actionable data
Build human-in-the-loop approval workflows that keep users in control of high-impact decisions
Establish evaluation and tuning loops to measure agent quality and improve system behavior
Identify and address non-deterministic failure modes through testing, observability, and guardrails
Collaborate with frontend, product, client, and domain stakeholders to deliver complete solutions
Use AI coding agents such as Claude Code and Codex as part of the software development workflow
Communicate technical concepts clearly to both executive and non-technical audiences
Other duties as assigned
About You
Qualifications & Skills
5+ years of experience shipping production software
Hands-on experience building LLM-powered or agentic applications using tool-calling, structured outputs, RAG, and prompt iteration
Strong experience with TypeScript and Node.js, or deep software engineering expertise in another ecosystem such as Python
Experience with an orchestration framework such as LangGraph.js, Vercel AI SDK, or Mastra
Experience with provider SDKs such as Anthropic, OpenAI, or Writer.ai
Experience designing scalable systems on AWS
Demonstrated ability to parse, extract, validate, and structure unstructured data
An evaluation-driven approach to measuring and improving agent performance
Ability to operate independently in ambiguous environments and turn undefined problems into actionable solutions
Product-minded approach that connects architecture and model decisions to measurable user value
Strong communication skills and the ability to explain agent pipelines to technical and non-technical stakeholders
B2+ English proficiency
Comfort working in a fast-paced, agile consulting environment
Experience delivering AI solutions in regulated or high-stakes industries such as legal, healthcare, or fintech is a plus
Experience building automated evaluation harnesses for LLM systems is a plus
Experience with voice, transcript, or document-intensive workflows is a plus
Experience with Next.js, open-source agent projects, or Writer.ai is a plus
.Monks Technology Services does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status.
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