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Senior Engineer – AI Search & Retrieval
(hands-on, delivery-focused)
📍 Vienna / Remote (Europe)
💼 Salary + meaningful ownership (equity optional, role-dependent)
🧠 AI, Search, Enterprise SaaS
About Howie
Howie is an early-stage AI company in the AEC (architecture & engineering) space. We help enterprise teams reuse knowledge from past projects to reduce costly rework during planning and pre-construction.
We’re working with co-creation customers across the EU and UK, have a live product in production, and are preparing for an early seed round backed by top-tier industry investors (already backed by 2 strong industry VCs Pilabs and DAR)
The role
We’re looking for a senior, experienced, and hands-on engineer to help stabilize delivery, improve relevance and reliability of our AI search systems, and support a small engineering team during a critical growth phase.
This role is primarily execution-focused (~75%), with light technical leadership and mentoring (~25%). It is a production-oriented role, not a research-only or people-management-heavy position.
You’ll work closely with product and the founding team to turn real customer needs into reliable, shipped functionality.
What you’ll do
- Own technical execution of our AI search & retrieval pipeline
- Improve relevance, latency, and robustness of RAG-based systems in line with customer needs
- Make pragmatic architectural decisions, optimizing for impact over perfection
- Mentor junior engineers and raise execution quality and delivery cadence
- Close collaboration and context translation between engineering team, Head of Product and CEO (product on roadmap trade-offs)
- Provide technical input during enterprise discussions and fundraising
What we’re looking for
- 5+ years of hands-on engineering experience
- Strong Python background and experience running production systems
- Practical experience building search, retrieval, or RAG systems
- Solid understanding of classical IR (TF-IDF, BM25) and embedding-based ranking
- Hands-on experience with vector databases (e.g. Qdrant) and similarity search (cosine, L2)
- Experience with Docker, Kubernetes, and monitoring/logging tools (e.g. Grafana)
- Experience deploying and operating cloud systems (AWS or Azure)
- Comfort working in early-stage environments with ambiguity and constraints
- Strong bias toward shipping, learning, and improving real systems
Nice to have (not required)
- Experience applying ML or AI systems in production
- Exposure to startup or scale-up environments
- Familiarity with enterprise requirements (security, cost awareness, reliability)
- Experience with multimodal retrieval (image/video embeddings, VLMs)
Why join Howie
- Work on real customer problems in production, with systems used daily by architects and engineers
- Own meaningful parts of the product end-to-end, from design to deployment, with direct user feedback
- Join a small, focused team with short feedback loops, high autonomy, and real influence
- Grow into broader technical ownership and leadership as the company scales
📩 Interested? Reach out at:
🌐 www.howie.systems
TO APPLY PLEASE USE THIS LINK; https://shorturl.at/4hgw1
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