AI Architect – Voice AI

🔥 il y a 19 heures

🇵🇱 Pologne – Télétravail

⏳ Contrat

🟡 Intermédiaire

🟠 Senior

🤖 Ingénieur IA

👻 Score fantôme 21%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Neurons Lab

Site WebLinkedInTous les Emplois

51 - 200 employés

🤖 Intelligence artificielle

🏥 Santé

⚡ Énergie

💰 Corporate Round en 2022-10

Artificial Intelligence • Healthcare • Energy

Neurons Lab est une entreprise de recherche et développement en intelligence artificielle distribuée au niveau mondial, qui aide les innovateurs en technologie de pointe à accélérer le développement et le lancement de produits basés sur les données. Notre équipe possède une expertise en sciences fondamentales, ingénierie IA/ML full-stack et en design produit. Cette combinaison rare et notre accès à des talents rares permettent à Neurons Lab de créer des solutions disruptives pour des clients dans les secteurs de la HealthTech et de l'EnergyTech. Neurons Lab opère selon un cadre de livraison propriétaire adapté à l'environnement d'innovation : concurrence féroce, délais serrés, absence de jeux de données et nécessité de générer des solutions nouvelles.

Description

• Own the technical architecture and delivery of the voice copilot from validated PoC to production • Meet latency, accuracy, concurrency, and cost targets • Keep production-polish expectations aligned and prevent silent scope creep • Transfer knowledge continuously to the client team and Neurons Lab engineers • Own the full pipeline: streaming speech-to-text, LLM field extraction, Chrome-extension delivery, and AWS infrastructure • Reduce P95 latency from approximately 6 seconds toward 2 seconds and resolve post-processing lag corner cases • Run Claude Haiku versus GPT Luna model A/B tests using golden-set evaluation for phonetic name and email accuracy • Own Langfuse traces, accuracy dashboards, live-call per-call cost measurement, and optimization planning • Harden the system for 5–10+ concurrent calls with strict user data isolation, monitoring, alerting, and safe rollback • Deliver epics end to end, including the Amazon SES email briefing service, while maintaining a demo fallback • Lead technical discussions with the client and present measurable system behavior • Tie feedback to the SOW and route roadmap items to future phases • Ensure client-facing materials pass ADM review • Lead the AI Engineer and pod by assigning tasks, reviewing output, and removing blockers • Absorb the outgoing architect's handover and become independent quickly • Run knowledge-transfer sessions to eliminate single points of failure • Provide estimates and architecture options for the production SOW when requested

🎯 Exigences

• Hands-on experience with real-time voice pipelines: streaming STT, turn handling, and low-latency LLM inference • LLM engineering experience: prompt engineering, structured extraction, guardrails, and model A/B evaluation • Experience with observability and evaluations, including Langfuse or similar, golden datasets, and latency, accuracy, and cost dashboards • AWS experience with Bedrock, serverless patterns, SES, token economics, and per-call cost engineering • Strong Python skills • Sufficient TypeScript and Chrome-extension knowledge to own the integration • Clear spoken and written English for demanding US executives • Knowledge of contact-center and agent-assist patterns and metrics, including handle time, cost per call, and concurrency • Production LLM operations experience, including load testing, data isolation, and incident handling • Voice AI in production is mandatory; must have shipped at least one real-time voice or speech product to real users • 6+ years of hands-on AI/ML engineering experience with strong recent LLM production practice • Demonstrated latency and reliability record, including measured P95 reductions and concurrency fixes on a live system • Consulting/client-facing seniority and ability to manage detailed UAT scrutiny and expectations • Nice to have: empathy-sensitive domain experience in healthcare, veterinary, or insurance; PE-sponsored rollouts; Chrome extension delivery; telephony/streaming stacks such as Amazon Connect, Twilio, or LiveKit; Langfuse in production; US client experience with Eastern-time overlap • Required English level: Intermediate, Upper Intermediate, or Advanced options listed • Availability for part-time remote work • Openness to B2B contractor collaboration

🏖️ Avantages

• Multi-month contract with strong extension probability • 0.5 FTE minimum, ramping toward 1.0 FTE as production scales • Structured handover and knowledge transfer from the outgoing architect • Opportunity to work on a production-stage AI program for a major US private-equity-backed client