Top Artificial Intelligence Software Engineer Jobs

Administer the studio’s AYON or OpenPype production pipeline across shows, including project setup, permissions, naming conventions, status workflows, publishing, and database integrity. Own production data I/O from ingest through transcoding, QC, packaging, and client delivery. Support DCC and review-tool integrations, configure new shows, document workflows, and ensure assets are clean, versioned, and properly tracked.

Build and scale full-stack healthcare platform features across React front ends, Node.js services, mobile apps, browser extensions, and AI-driven infrastructure. Own products end to end from design through deployment, make architectural decisions, collaborate with product, design, AI/ML, and customer-facing teams, and mentor engineers. Required work includes REST APIs, NoSQL data modeling, CI/CD, DevOps workflows, and browser-integrated technologies.

Build foundational infrastructure, large-scale data extraction systems, agent architectures, data access policies, and production AI agents for enterprise customers. The role also involves cross-stack technical design, production debugging, customer-driven solution development, and shaping the founding engineering culture. This is an in-person role in New York City five days per week.

Design and build backend systems, APIs, distributed data pipelines, and cloud-native workloads for a privacy-first healthcare platform. Process and query large datasets using Python, Spark, SQL, and AWS technologies. Lead technical projects and small engineering teams, mentor engineers, drive architecture and execution, and improve production system reliability, scalability, performance, security, and observability.

Own product surfaces end to end, spanning backend systems, APIs, user experience, deployment, observability, evaluations, and feedback loops. Work directly with AI companies and users to design products using models with memory. Prototype agentic products and internal tools, train models for demonstrations, develop telemetry and evaluations, collaborate with model researchers, and help establish product engineering standards.

One-week, in-person Denver bootcamp for recent or upcoming graduates interested in becoming Forward Deployed Engineers. Participants build solutions on Palantir Foundry, including ontology models, data pipelines, and Workshop applications, while working alongside Unit8 engineers. Top performers may receive a job offer after completing the program. The unpaid program emphasizes hands-on building, systems thinking, fast learning, and comfort with ambiguous technical challenges.

Leads the architecture, development, governance, and adoption of enterprise ServiceNow solutions across ITSM, ITOM, CMDB, SecOps, and custom applications. Provides technical leadership, mentors developers and administrators, oversees integrations, automation, upgrades, security, performance, reporting, and release management. Partners with business and IT stakeholders to translate requirements into scalable solutions, manage vendors, and drive platform maturity and innovation.

Own backend performance and scalability improvements for a mature Java-based Athlete Management System. Diagnose bottlenecks across APIs, databases, calculations, and background jobs; improve data access, asynchronous processing, observability, containerization, and reliability. Develop technical plans, drive changes through production, collaborate with the Data Platform team, review architecture, mentor engineers, and participate in on-call support.

Build and operate scalable data-platform systems for multimodal robotics and machine-learning datasets. Responsibilities include ingestion, processing, validation, labeling, dataset generation, metadata, lineage, versioning, data quality, observability, and workflow reliability. Partner with ML, robotics, infrastructure, and labeling teams to create reusable platform capabilities supporting large-scale data processing, reprocessing, backfills, training, and evaluation.

Build and deploy AI-powered solutions for restoration contractors. Travel to customer offices and disaster sites to understand workflows, implement accounts, prototype custom solutions, and turn field insights into product improvements. Own full-stack development across backend, UI, and data plumbing while collaborating with engineering, product, customer success, and customer operators.