Own core parts of Boam AI's Scala + Python data and agent infrastructure: design, build and scale both existing and greenfield systems. A small, senior team with real ownership and minimal safety nets.
Responsibilities
- ▹Design and build resilient backend services and APIs
- ▹Own critical data pipelines from ingestion to enrichment to delivery
- ▹Prepare systems for 100x data growth over the next three years
- ▹Build reliability and test coverage into the code itself – no separate QA layer
- ▹Improve performance, scalability, and observability across the stack
- ▹Work closely with data/ML to productize AI-powered agents end to end
- ▹Raise the engineering bar through design reviews, pairing, and mentorship
- ▹Use next-gen AI tools to improve code quality and velocity
Requirements
- ▹5+ years building and operating production backend systems
- ▹Strong experience with Scala, Python or functional / JVM languages
- ▹Comfortable with distributed systems, data modeling, and high-volume pipelines
Nice to have
- ▹Enjoys greenfield work: from first-principles design to deploy and monitoring
- ▹Thrives without heavy process, QA buffers, or endless safeguards
Soft skills
Bias to ship, measure, and refine rather than over-architectMotivated by solving real user problemsMentoring attitudeExcited to work where AI/ML is deeply embedded in the product
What we offer
- ▹Top-tier compensation with meaningful equity upside
- ▹High autonomy, real impact, and clear ownership from day one
- ▹Work directly with founders and the Head of Engineering
- ▹No-politics, high-trust, low-ego, high-talent team
- ▹Own mission-critical systems used by top-tier enterprise customers
- ▹Operate at the intersection of AI, data infrastructure, and enterprise workflows
About the company
Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and mission-critical decisions across the enterprise. The hiring process has four steps: intro call, deep dive, work sample, and a founder conversation.
Languages: Angol: Felsőfok
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