Remote | Full-Time | Reports to CTO / Head of AI
$5,000 - $7,500/month
About The Client
Geny is a voice-first AI operating system for skilled service businesses. We're reimagining how millions of entrepreneurs interact with technology: no forms, no friction - just natural speech that turns into business actions.
We're seeking a
Senior Python Engineer
with Voice Experience to own the NLU pipeline: from transcripts to intent classification, fallback handling, and contextual understanding. You'll partner with the Head of AI to make Geny's assistant robust across regions, accents, and workflows.
What You'll Do
- Own the STT → NLU → Action pipeline for Geny's assistant
- Design and implement intent classification models using embeddings, clustering, and LLM prompting
- Develop fallback strategies for ambiguous/failed commands
- Build and maintain prompt libraries for scheduling, payments, CRM, and social media flows
- Benchmark and improve performance across languages and accents
- Collaborate with backend team to integrate NLU modules into production APIs
- Mentor junior Voice Data Engineers, review code, and guide annotation strategies
- Partner with product/design on multilingual conversation flows and edge case handling
Tools & Skills
- Strong Python (NLP & ML stack: transformers, spaCy, sentence-transformers)
- Experience with intent classification, embeddings, similarity search
- Exposure to speech systems (Whisper, Coqui, or similar STT engines)
- Familiarity with LLMs and prompt engineering for conversational tasks
- Production-level ML experience: evaluation frameworks, monitoring, retraining loops
- SQL/NoSQL (Postgres, Redis) + API integration experience
- Bonus: multilingual NLP experience (French, Spanish, Portuguese, Arabic, Vietnamese)
First 3–6 Months
- Work on Geny's NLU pipeline to improve mapping accuracy (transcript → action)
- Deploy clustering + embedding similarity to cover 80%+ of common user utterances
- Build a fallback intent detector that reduces failures by 30%
- Ship prompt libraries for top workflows: scheduling, payments, social posting
- Mentor the junior Voice Data Engineer on annotation & clustering methods
Work Culture & Growth
- Core technical leader on Geny's AI team
- Collaborates directly with CTO & founders
- High ownership: define strategy, build systems, mentor others
- Growth path: IC5 (Principal) or transition into Head of AI track as team scales
- Fully remote, async-first with flexible hours across time zones