Senior Software Engineer, Agents

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de Replicant, pas via un site d'emploi

Repérée par Remote Rocketship il y a 2 mois

Toujours ouverte sur le site de Replicant. Vérifiée il y a 8 heures.

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Replicant

51 - 200 employés

💼 Conseil

🏥 Santé

🛡️ Assurance

Consulting • Healthcare • Insurance

Replicant est une entreprise qui fournit une plateforme avancée d'IA conversationnelle, conçue pour résoudre de manière autonome les interactions de service client. Leur technologie aide les entreprises à améliorer l'efficacité et la satisfaction client en résolvant jusqu'à 80 % des demandes des clients sans besoin d'agents supplémentaires. La plateforme excelle à réduire les temps de traitement, améliorer les scores CSAT et diminuer le turnover des agents. Les solutions de Replicant sont utilisées dans divers secteurs tels que les assurances, la santé, les services aux consommateurs, le commerce de détail et le transport. La plateforme est de niveau entreprise, offrant des interactions IA fiables et naturelles avec des capacités sophistiquées de voix et de transcription, garantissant précision et sécurité pour leurs clients.

Description

• Own AI agents for assigned customers across discovery, design, build, evaluation, launch, and live operation • Sit with customers to map workflows and translate ambiguous business goals into concrete agent scopes and enforced business logic • Design and write prompts, instructions, and conversation flows, iterating against evaluations and real transcripts • Integrate agents with customer CRMs, ticketing systems, internal services, APIs, and third-party systems • Shape reliable tool-call inputs and outputs and handle authentication, errors, and edge cases • Build test sets covering happy paths, unhappy paths, edge cases, and hallucination risks • Measure agent quality and harden agents for production, including guardrails, failure modes, latency, and cost • Monitor live conversations and tool-call health, debug logs and transcripts, and ship fixes under pressure • Feed recurring patterns and missing capabilities back to Product

🎯 Exigences

• Customer-facing strength, including the ability to earn trust with skeptical stakeholders • Ability to translate ambiguous business problems into concrete plans • Clear communication with technical and non-technical audiences • Integration fluency with customer APIs, endpoints, protocols, and third-party systems • Ability to design clean tool schemas and handle authentication, errors, and edge cases • Ability to validate bespoke, under-documented customer APIs • Prompt and instruction craft for LLM behavior • Ability to write unambiguous instructions and diagnose prompt failures • Eval-first approach and product taste for effective conversations • Nice to have: general-purpose coding experience with TypeScript, Python, or SQL • Nice to have: prior forward-deployed, solutions engineering, or customer-embedded work • Nice to have: conversational AI, voice, or contact center domain experience • Nice to have: experience with LLM evaluation tooling and observability • A computer science degree or software engineering title is not required • Backgrounds such as systems administration, integration engineering, or technical support are welcome

🏖️ Avantages

• Company-wide offsites and smaller team gatherings • Conferences, books, and courses funded through a tech and learning stipend • Remote work by design with flexible calendar management • Flexible vacations • Paid sabbatical after 5 years • Comprehensive benefits • Physical and mental well-being stipend • Competitive salaries • Equity in the company

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