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 public and non-standard sources. 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 Local Government vertical, you will build data collection and intelligence infrastructure around municipal records, local public institutions, regional regulatory feeds, and funding initiatives. Each team member owns their value added with direct P&L attribution in an environment optimized for judgment and speed.

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 public 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, interfacing directly with public sector leadership, and working directly with the CTO without layers of process in between. 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 sparse records, extracting signal from complex filings and awkward PDFs/XMLs, and putting the result in front of decision-makers.

What You'll Build

  • Automated collection pipelines: High-volume collection systems across unstructured municipal documents, web sources, awkward PDFs, XML, and undocumented APIs.
  • ETL/ELT pipelines: Data warehousing in PostgreSQL, Elasticsearch, S3, and Snowflake with strict schema design and query optimization.
  • Applied LLM & NLP systems: Production entity resolution, document classification, sentiment analysis, and summarisation.
  • Client-facing APIs & Applications: FastAPI microservices deployed via Docker and Kubernetes.
  • Data integrity & alerting: Explicit error handling and proactive alerting systems.

What We're Looking For

  • Strong Python: Async, typing, and performance (Scrapy, FastAPI, SQLAlchemy, pandas, asyncio).
  • Strong SQL & PostgreSQL: Window functions, CTEs, query plans, index and partition design.
  • Linux & Docker: Deep familiarity with debugging on host machines and container management.
  • Production Pipeline & LLM/ML Experience: Experience building reliable pipelines and deploying models/embeddings in high-stakes environments.
  • Unwavering Ethics & Privacy: Strict commitment to compliance, contractual, and privacy 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