Senior AI Platform Engineer - Production-Grade Agents

bunch; Lisboa; Remote; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Remote setup

Up to 6 remote calendar weeks a year

28 days of vacation, plus 2 company‑s

Job summary

bunch is building the operating infrastructure for the next generation of private markets. We are seeking a Senior Applied AI Engineer to own architecture, evaluation, integration and deployment of AI agents within our platform, shipping real fund-operations workflows with robust observability and governance.

You'll work across Mastra, ai-sdk and other tools, building an orchestration layer, memory, RAG and multi-agent designs, while ensuring compliance with EU data-residency and integration

Qualifications

• 5+ years building production software with at least one agent or LLM-powered capability you took end to end and still own once it was live.
• Agents: real depth in orchestration and context engineering — tool contracts, memory, RAG, multi-agent design — with Mastra, ai-sdk, LangGraph or similar.
• Evaluation: you know how to make a non-deterministic system measurable, from test cases built on real data to regression suites and human review, and you can tell the difference between a model that improved and a benchmark that got easier
• Production: you own what you ship.
• Backend: you have experience with TypeScript and/or Python.
• Platform Mindset: you build for other engineers as much as for end users, and the standards you set get adopted because people trust you, not because they are written down
• Pragmatic: you start from the business outcome, choose the deterministic solution when it's the right one, and know when good enough is good enough
• Experience in fintech, private markets, or another regulated, document-heavy domain is a plus, as is working under EU data-residency constraints

Responsibilities

• Own architecture, evaluation, integration and deployment of AI agents.
• Design agents that automate real fund-operations workflows, and own them from prototype through production and after.
• Build the evaluation layer: test cases built from real documents with the output we expect, regression suites in CI, human review where correctness is non-negotiable, and clear success criteria for an agent completing a complex task end to end.
• Then move the numbers that matter — accuracy, latency, cost.
• Run it in production.
• Versioned, feature-flagged rollout of agent versions; rate limits, provider fallback, and regional failover within EU data residency; and the observability to trace a failure across services and turn it into a fix rather than a theory.
• Make it a platform, not a project.
• Document parsing and extraction consolidates into this team, and shared evaluation and observability become something other teams consume rather than rebuild.
• You set the patterns other engineers inherit, partner closely with DevX, and mentor engineers across teams on agent and LLM practice.

Skills

Production software

Agent/LLM capability ownership

Python/TypeScript

Tools

Mastra

ai-sdk

LangGraph

Node.js

Nest.js

MySQL

PostgreSQL

Kubernetes on AWS

Vercel ai-sdk

Google Vertex

AWS Bedrock

Datadog

FusionAuth

Retool

Svelte

React

TypeScript

Python

Job description

bunch is building the operating infrastructure for the next generation of private markets. We are seeking a Senior Applied AI Engineer to own architecture, evaluation, integration and deployment of AI agents within our platform, shipping real fund-operations workflows with robust observability and governance.

You'll work across Mastra, ai-sdk and other tools, building an orchestration layer, memory, RAG and multi-agent designs, while ensuring compliance with EU data-residency and integration