Senior Software Engineer, AI Automation (Brazil)

trm-labs

Deutschland

Hybrid

EUR 90.000 - 150.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

trm-labs is seeking a senior engineer to join an intelligence operations team in Germany. You will build AI-powered internal applications that accelerate how analysts collect and act on information, interfacing with analysts, back-end systems, and AI models.

You will shape product-minded engineering, own end-to-end delivery, and iterate on real-world outcomes while coordinating with stakeholders across the organization.

Qualifikationen

  • 6+ years of full-stack software engineering experience.
  • Strong product sense and ability to ship widely adopted solutions.
  • Proficiency in Python and/or JavaScript/TypeScript with backend focus.
  • Experience with back-end systems and datastores (Postgres, pgvector, Pinecone, Redis) and API design.
  • Hands-on experience with modern AI tools and models.
  • Strong communication and ability to build trust with stakeholders.
  • Ability to operate independently in ambiguous problem spaces with ownership.

Aufgaben

  • Partner with intelligence analysts to translate goals into technical solutions with clear success criteria.
  • Identify high-leverage opportunities to improve intelligence collection and productize solutions.
  • Design, build, and own AI-powered internal applications end-to-end including back-end services and APIs.
  • Develop custom agentic workflows leveraging modern AI models.
  • Own projects from technical design through scoping, delivery, and ongoing support.
  • Continuously evaluate impact and iterate based on outcomes.

Kenntnisse

Full-stack development
Product mindset
Python
JavaScript/TypeScript
APIs
AI tooling
Communication
Ownership
Ambiguity handling

Tools

PostgreSQL
pgvector
Pinecone
Redis

Jobbeschreibung

**Role overview**

A senior engineering role embedded with an intelligence operations team, focused on building AI-powered internal products that meaningfully accelerate how analysts collect and act on information. The position sits at the intersection of analyst workflows, back-end systems, and applied AI, with a strong emphasis on product judgment over one-off automations.

**Responsibilities**
  • Partner directly with intelligence analysts to understand goals, constraints, and day-to-day workflows, and translate those into technical solutions with clear success criteria.
  • Identify the highest-leverage opportunities to improve intelligence collection, applying a product lens rather than just an engineering one, and productize solutions so they are durable and widely adopted.
  • Design, build, and own AI-powered internal applications end-to-end, including back-end services, APIs, data storage, supporting infrastructure, and user-facing interfaces.
  • Develop custom agentic workflows leveraging modern AI models to augment and scale intelligence work.
  • Own projects from technical design and architecture through scoping, delivery, iteration, and ongoing support.
  • Continuously evaluate impact and iterate based on real outcomes for the intelligence team.
**Requirements**
  • 6+ years of full-stack software engineering experience building scalable web applications, services, and APIs.
  • Strong product sense, with the ability to spot the highest-impact, most scalable solution and ship it as something people actually keep using.
  • Proficiency in Python and/or JavaScript/TypeScript, with strong back-end and systems engineering skills.
  • Experience with back-end systems, datastores such as Postgres, pgvector, Pinecone, or Redis, and designing APIs.
  • Hands-on experience with modern AI tools and models, including building AI-enabled workflows or prototypes.
  • Strong communication skills and the ability to build trust with semi-technical stakeholders, including explaining technical trade-offs clearly.
  • Comfort operating independently in ambiguous problem spaces with a high degree of ownership.
**Nice to have**
  • Background as either a back-end/systems-leaning engineer or a data/ML-leaning engineer; both profiles are welcomed.
  • Familiarity with running projects on a weekly sprint cadence and acting as a technical anchor.
  • Open to candidates based in Brazil, with overlap hours during U.S. Pacific time business hours.
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