Hermes Intelligence builds proprietary intelligence infrastructure for investors, corporates, and public institutions — the systems behind high-stakes decisions where public data isn't enough.

We engineer our own collection systems, custom AI pipelines, and real-time delivery on top of sources most organisations never reach: satellite imagery, shipping-route data, earnings-call transcripts, and primary interviews. We combine these into a world-class entity-resolution system built on frontier research, and turn the output into live signals in the hands of senior decision-makers.

About the Vertical

In the Industrials vertical, you will focus on high-impact supply chain, physical asset, logistics, and corporate intelligence. Each team member owns their value added with direct P&L attribution in a model closer to a hedge fund than a traditional tech company.

The Role

You will own production intelligence systems end to end. That means identifying a source, building the infrastructure to collect it at volume, modelling and moving the data through ETL, and exposing the result to senior decision-makers through APIs and applications that run in production.

High scope. High quality. High stakes.

This role suits a builder and an owner: someone comfortable taking calculated risks, sitting across the table from institutional clients, and working directly with the CTO without layers of process in between. Generating ideas isn't merely encouraged here — it's the expectation. We refuse red tape and hierarchy, but welcome process and scale builders.

One thing to be clear about: we don't build AI wrappers or chatbots. We apply AI where it has bottom-line impact — resolving entities across millions of records, extracting signal from sources that were never meant to be read at scale, and putting the result in front of people making capital decisions.

What You'll Build

  • Large-scale acquisition systems: High-volume automated collection and multi-source integration (Scrapy, Playwright, custom async crawlers) across disparate formats (imagery, documents, satellite data, sensor feeds).
  • ETL/ELT pipelines: Data movement into PostgreSQL, Elasticsearch, S3, and Snowflake — including schema design, partitioning, and indexing.
  • LLM and embedding models in production: Entity resolution, classification, sentiment/tone scoring, and summarisation in both batch and real time.
  • API services & Applications: FastAPI tools deployed on Docker and Kubernetes with robust monitoring and alerting.
  • Data-quality systems: Explicit error handling, sensible retries, and alerts that fire before a client notices.

What We're Looking For

  • Strong Python: Async, typing, and performance focus (Scrapy, FastAPI, SQLAlchemy, pandas, asyncio).
  • Strong SQL & PostgreSQL: Window functions, CTEs, query plans, index and partition design.
  • Linux & Docker: Ability to debug on the box and deploy real production services.
  • Production Pipeline & Applied LLM Experience: Experience operating high-stakes data collectors and using leading models/embeddings with an understanding of cost, latency, and accuracy trade-offs.
  • Unwavering Ethics & Privacy: Strict adherence to legal and contractual boundaries.

Compensation & Benefits

  • Competitive base salary + equity discussion for the right candidate
  • Direct P&L attribution and performance rewards
  • Private healthcare
  • Remote flexibility within EU working hours
  • Regular team offsites and Worldwide travel