About Sedrus

Sedrus is an early-stage wealth-tech startup building an agentic layer for wealth management back-office operations.

We're looking for a Senior AI Engineer to build the internal "AI brain" that powers how Sedrus operates — a connected system of agents, workflows, internal tools, and automations spanning GTM, CRM, recruiting, and company operations.

This is a hands-on engineering role. We aren't looking for someone to experiment with prompts or build demos; we're looking for someone who can identify high-leverage workflows and ship reliable systems that eliminate manual work.

What You'll Do

You'll design and build internal AI-powered systems that connect tools, company data, and LLMs into reliable workflows. You'll:

- Build an internal CRM and the automation layer around it.

- Create GTM agents that automate call preparation, capture information from meetings, draft follow-ups, and keep pipeline data current.

- Connect tools such as Granola, Notion, email, calendars, and other internal systems so information automatically flows to the right place.

- Build recruiting agents that streamline sourcing, candidate research, screening, interview workflows, and administrative work.

- Identify repetitive work across the company and turn it into automated workflows.

- Design agentic systems that combine LLM reasoning with deterministic software and human approval where appropriate.

- Build evaluation, observability, and failure-handling mechanisms so AI workflows can be trusted in production.





- Work directly with leadership to identify what should be automated rather than waiting for detailed specifications.

What We're Looking For

- 5+ years of software engineering experience, ideally across backend or full-stack systems.

- Strong experience building production applications with APIs and third-party integrations.

- Hands-on experience with LLMs and agentic or automation systems.

- Experience with tools/frameworks such as n8n, Zapier, LangChain, LangGraph, or similar.

- Strong understanding of structured outputs, tool/function calling, retrieval, context management, and LLM evaluation.

- Ability to write production-quality code rather than relying exclusively on no-code automation tools.

- Strong product sense: you can take an ambiguous business process, understand where the friction is, and design the right system to automate it.

- Comfortable moving quickly and working directly with founders in an early-stage environment.

Strong Plus

- Experience building internal tools or AI automation for GTM, recruiting, or operations.

- Experience building multi-agent or long-running agent workflows.

- Experience taking LLM-powered systems from prototype to reliable production usage.

The defining characteristic we're looking for is product-minded engineering: someone who can look at a messy manual workflow, figure out what should and shouldn't be automated, and then build the system themselves.

📌 Senior AI Engineer (LATAM - Remote) (México)
🏢 Braintrust
📍 México