Top Artificial Intelligence Software Engineer Jobs

The role involves full stack development, designing and maintaining distributed systems, utilizing AWS services, collaborating with teams, and ensuring system stability.

The Senior Software Engineer will design and build API integrations and data processing pipelines for security data ingestion, focusing on structured and unstructured data from various sources and enhancing the effectiveness of a virtual SOC.

The Senior NPU Architect will design and optimize architecture modules for AI accelerators, collaborating with teams to enhance performance for AI/ML workloads.

Develop and manage distributed database systems, design core architecture code, and perform performance optimization and testing. Engage with the community.

As a Backend Engineer, you will architect and build distributed services for customer applications while collaborating closely with other engineering teams to ensure scalability and efficiency in system design.

Build and ship end-to-end features for an AI-first customer support product. Work with coding agents, design UI/UX and data models, own features from idea to production, and collaborate on tooling and feedback systems to make agent-driven development reliable and shippable.

Build and operate an AWS-native data lake and AI gateway. Implement and maintain lakehouse architecture (Iceberg) using Glue, Athena, and S3; manage infrastructure as code (Terraform); run reliable data pipelines; operate LLM gateway/Bedrock; enforce security, IAM, networking, and secrets controls; partner with IT and Security.

Hands-on engineering leader who writes and reviews production code while managing a small team. Architects scalable systems, drives engineering and product strategy, improves developer workflows, supports pre-sales and integrations, defines KPIs, and partners cross-functionally to deliver high-quality SaaS products with evolving AI capabilities.

Build and own the GTM tech stack and integrations, create demo environments seeded with realistic data, embed AI agents into sales workflows, stand up revenue data infrastructure (pipeline, forecasting, attribution), and automate customer service flows. Partner closely with Sales, Marketing, Customer Success, and Product Engineering to measure adoption and impact.

Lead architecture and implementation across the full stack, rework user and license management, and develop core runtime components for a code-first PCB design product. Drive technical direction, identify and fix technical debt, mentor engineers, perform code reviews, and build production-ready, high-performance systems involving computational geometry and advanced visualization.