Top Artificial Intelligence Software Engineer Jobs

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.

Create video content, present at webinars and conferences, write sample code and documentation, review others' content, and respond to audience questions to educate and promote the product.

Design and build scalable, secure cloud-native backend systems in AWS. Implement event-driven architectures, async concurrent processing, data pipelines, serverless services, and REST APIs (Flask/FastAPI). Ensure performance, caching, testing, debugging, and cloud security (IAM, encryption, authentication).

Technical co-founder responsible for building and hardening an LLM-powered AI front desk: production voice and workflow systems, delivery infrastructure, unit-economics, observability, multi-tenant security, customer-facing technical representation, and hiring the founding engineering team to scale the managed Role-as-a-Service platform.

Full-stack engineer owning feature development from design through deployment. Collaborate with product and design, make tradeoffs, deliver measurable technical outcomes, and work through ambiguity to drive business impact.

The Intelligent Systems Platform Engineer builds and operates Hyper's AI-native Industrial IoT platform, managing data ingestion, pipelines, and analytics alongside data scientists and product managers.

This role involves building early versions of the Silkline platform, leading product development, designing API integrations, and strategizing the technical direction while managing an engineering team.