Senior AI Engineer, Talkiatry

• 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
• 2+ years of software engineering experience, including building, testing, and maintaining production software systems
• 1+ year of experience building with LLMs, agentic AI, or production AI systems, ideally beyond simple chatbot or prompt-only use cases
• Strong programming skills in Python and/or TypeScript, with experience building backend services, APIs, integrations, data flows, or full-stack product features
• Experience with modern frontend or full-stack development using technologies such as React, Next.js, TypeScript, Node.js, or similar frameworks
• 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
• Familiarity with RAG systems, vector databases, semantic search, retrieval infrastructure, model serving, or knowledge pipelines
• Familiarity with cloud-native development, containerized services, Kubernetes, CI/CD workflows, or scalable production environments
• Strong debugging, communication, and collaboration skills, with the ability to work through ambiguity and make steady progress with guidance from senior engineers

Desirable

• We're looking for an Senior AI Engineer to join a new AI Engineering team building foundational AI capabilities for mental healthcare at Talkiatry. You'll work across the AI lifecycle — from prototyping to production rollout, observability, and continuous improvement — building backend APIs, frontend interfaces, orchestration services, and internal tools that make AI useful, trustworthy, and actionable
• You'll collaborate with senior engineers, product, clinical stakeholders, and data teams where your work directly impacts how AI is safely deployed in healthcare
• Full-Stack AI Development: Build frontend interfaces, backend services, APIs, integrations, and data flows that make AI capabilities usable in patient, clinician, and internal workflows
• Agentic AI Systems: Build and iterate on agentic systems that use reasoning, tool use, retrieval, memory, and multi-step workflows to solve healthcare problems
• RAG & Knowledge Systems: Build and maintain RAG pipelines, ingestion workflows, retrieval tuning, semantic search, and knowledge quality improvements
• Evaluation & Quality: Implement evaluation frameworks, automated tests, experiments, regression checks, and quality metrics to improve AI system performance over time
• Safety, Guardrails & Observability: Implement guardrails, fallback flows, human-in-the-loop workflows, access controls, tracing, monitoring, and diagnostics for production AI systems
• Production Delivery: Contribute to reliable production rollouts, CI/CD workflows, debugging, incident response, performance improvements, and operational efficiency
• Cross-Functional Collaboration: Work with senior engineers, product, clinical, design, and data partners to translate real workflows into safe, reliable AI-powered experiences