Senior AI Engineer

Join Talkiatry, a mental healthcare company, as a Senior AI Engineer. In this role, you will work across the AI lifecycle, building backend APIs, frontend interfaces, orchestration services, and internal tools. You will collaborate with senior engineers, product, clinical stakeholders, and data teams to ensure the safe deployment of AI in healthcare. The position offers a flexible remote work option, generous PTO, and comprehensive health insurance coverage.

• Contribuer à la construction et à l'itération de systèmes d'IA agentiques qui utilisent le raisonnement, l'utilisation d'outils, la récupération, la mémoire et les flux de travail multi-étapes pour résoudre des problèmes de santé.
• Construire et maintenir des pipelines RAG, des flux de travail d'ingestion, le réglage de la récupération, la recherche sémantique et les améliorations de la qualité des connaissances.
• Mettre en œuvre des cadres d'évaluation, des tests automatisés, des expériences, des vérifications de régression et des métriques de qualité pour améliorer les performances du système d'IA au fil du temps.
• This role is ideal for engineers with early LLM/agentic AI experience who want to deepen their skills on real production systems and grow into ownership of AI capabilities over time
• Strong programming skills in Python and/or TypeScript, with experience building backend services, APIs, integrations, data flows, or full-stack product features
• Strong debugging, communication, and collaboration skills, with the ability to work through ambiguity and make steady progress with guidance from senior engineers
• Familiarity with RAG systems, vector databases, semantic search, retrieval infrastructure, model serving, or knowledge pipelines
• Experience contributing to AI systems involving retrieval, tool use, workflow orchestration, structured outputs, context management, or multi-step execution
• Familiarity with agentic frameworks and orchestration tools such as LangGraph, CrewAI, OpenAI Agents SDK, or similar frameworks
• 1+ year of experience building with LLMs, agentic AI, or production AI systems, ideally beyond simple chatbot or prompt-only use cases
• Familiarity with cloud-native development, containerized services, Kubernetes, CI/CD workflows, or scalable production environments
• Experience with modern frontend or full-stack development using technologies such as React, Next.js, TypeScript, Node.js, or similar frameworks
• 2+ years of software engineering experience, including building, testing, and maintaining production software systems
• Experience building AI systems in healthcare, clinical, safety-critical, or other regulated environments
• Familiarity with HIPAA, clinical AI safety, FDA AI/ML guidance, or compliance-aware software development
• Experience using tests, evaluation methods, quality metrics, experiments, observability, or release checks to improve system reliability and performance