Top Artificial Intelligence Software Engineer Jobs

Own the architecture, development, and maintenance of Nebulock’s customer-facing security platform across the full stack. Build product experiences including threat intelligence and detection query tools, improve scalability and maintainability, establish engineering standards, shape the technical roadmap, collaborate across product and security teams, and mentor engineers.

Lead technical direction and architecture for scalable AI voice systems, including realtime voice infrastructure, agent runtime, customer dashboards, and analytics pipelines. Design reliable, low-latency distributed systems, own projects from design through production, partner with product and founders, mentor engineers, and improve engineering practices. The role requires strong product judgment, autonomy, and experience scaling complex production systems.

Build and own core components of Poetic’s vertically integrated platform, including its IDE, compiler, runtime, infrastructure, and reliability layers. Design scalable abstractions and solve complex problems involving AI-driven programming, immutable systems, anomaly detection, and long-running automated workflows. The role requires independent, end-to-end product engineering and experience building multiple products from zero to one or scaling them further.

Build and operate Helios’s acquisition and document-processing infrastructure, including web crawlers, connectors, fault-tolerant pipelines, multilingual document and media processing, OCR, extraction, enrichment, provenance, replay, and backfills. Scale secure CPU/GPU inference systems across cloud and restricted environments. Develop real-time multilingual audio intelligence pipelines with transcription, speaker attribution, timestamp alignment, and tone analysis while maintaining reliability, observability, cost efficiency, and data quality.

Looking for senior engineering leaders with ownership experience in high growth startup or tech companies for multiple portfolio companies.

Staff Backend Engineer responsible for architecting and building scalable Python backend infrastructure, APIs, data models, document ingestion pipelines, event-driven processing systems, and AI extraction integrations. The role sets technical direction, makes architectural decisions, collaborates with customers on product development, establishes engineering best practices, and mentors backend engineers while helping build a high-performing team.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

Drive revenue through enterprise deals as a Partner Solutions Architect, enabling partners, leading POCs, and designing scalable architectures for Netomi's AI platform.

Staffing firm seeks candidates across multiple IT roles (Java, JavaScript, BI Analyst, SDET, PM, Full‑Stack, UI/UX, C#, .NET). Candidates must be located in Washington, have relevant work experience, list technical skills on their resume, and provide contact information. Positions available as contract or full‑time.

Design and build GovWell's payments and ledger infrastructure: create a fully auditable, mathematically consistent ledger, precise fee-calculation system, and robust handling for partial payments, deposits, refunds, and payment processor integrations. Own migration from legacy payments to the new system, partner with finance and municipal staff, and set technical standards for the platform.