Top Artificial Intelligence Software Engineer Jobs

Build full-stack features for AI voice and chat products that scale to millions of conversations. Integrate ASR/TTS and conversational models, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with product and ML teams to improve performance and user experience.

Build and maintain production-grade backend systems, ETL pipelines, data models, and integrations. Apply agentic AI workflows for data engineering and root-cause analysis. Provide technical leadership and mentorship, work directly with customers on integrations and deployments, lead POCs and pre-sales technical activities, and translate customer feedback into product improvements.

Lead end-to-end design, build, and operation of large-scale data pipelines on GCP/BigQuery, optimize data models and queries, integrate legacy SQL Server/SSRS systems, implement ETL/ELT and data quality frameworks, use intermediate Python for automation, and support BI/reporting with Power BI/Looker/Tableau while promoting AI tool adoption.

Customer-facing technical role leading discovery, demos, and end-to-end implementations. Configure checks, workflows, and integrations; collaborate with delivery and customer success to scope, deploy, and optimize AI-powered fund operations solutions.

Design, configure, and support AI-enabled Amazon Connect contact center solutions. Build IVR and NLU-driven journeys, configure Agent Workspace and Contact Lens, implement routing/queue logic, integrate external systems and reporting, and collaborate with conversational designers and engineering teams to deliver production-ready CCaaS and agent-assist experiences.

Lead frontend design and engineering for landing pages and web experiences. Implement performant, accessible React/TypeScript interactions, partner with designers and marketing, build reusable components, and push web capabilities (animations, micro-interactions, WebGL) to elevate brand and product presentation.

Apply deep design expertise and BIM execution to independently design and deliver complex building projects. Develop and coordinate multidisciplinary Revit BIM models, evaluate code compliance and constructability, and translate engineering judgment into AI-enabled workflows. Collaborate with AI researchers and engineers to improve model generation, validation, and documentation, and support client engagements.

Develop, design, and maintain scalable backend services and integrations using Go/Java/Python and microservices. Assist system architecture, testing, performance optimization, CI/CD, and observability. Collaborate cross-functionally and follow Agile practices under mentorship to deliver production-quality software.

Build and maintain a trading-grade platform for reserving and allocating AI compute. Implement core features, own frontend for customers, ensure reliability with tests, and contribute to infrastructure and deployment tooling.

Design, build, and ship LM Studio application features, working across frontend UI, systems engineering, and applied AI/agentic components. Collaborate on product design, cross-stack engineering, and desktop application development while working onsite in the New York City office.