Top Artificial Intelligence Software Engineer Jobs

Designs, develops, tests, and maintains secure, scalable software applications and services. Translates business requirements into technical solutions, builds APIs and integrations, troubleshoots defects, contributes to architecture, supports automated testing and CI/CD, participates in deployment activities, documents technical work, assesses risks, and mentors colleagues. Collaborates with product, design, QA, and engineering stakeholders in a hybrid DMV-area environment.

Learns software engineering through mentorship and practical product or subsystem development. Responsibilities include writing production code and test applications, participating in design and code reviews, applying engineering processes, troubleshooting issues, and supporting project planning and execution.

Researches, designs, and develops efficient mesh-generation and computational-geometry algorithms for complex 2D and 3D models. Improves mesh quality, robustness, and performance; resolves geometric, topological, and numerical issues; and optimizes code through parallel computing and multithreading. Collaborates on technology integration and contributes to testing, debugging, code reviews, documentation, and AI-assisted development.

Leads the open-source Ray Data engineering team, setting technical direction, managing the roadmap, driving project execution, and hiring and mentoring engineers. The role remains hands-on with design and code reviews, performance and stability investigations, production escalations, and distributed systems development. It also involves open-source community leadership, cross-team collaboration, customer engagement, release quality, and communication through technical content and events.

Build and own full-stack product features for an AI-native legal platform. Partner with attorneys and AI engineers to turn legal workflows into reliable software, make architecture and tooling decisions, maintain production quality, and shape engineering culture and hiring. The role requires rapid execution, strong product judgment, end-to-end feature ownership, and comfort working in a demanding, high-ownership environment.

As a Backend Engineer, you'll build backend services for candidate-job matching and marketplace workflows, focusing on APIs, data models, and operational systems.

Lead end-to-end technical deployments for enterprise and cleared customers. Build production frontend and backend systems, reusable deployment capabilities, integrations, testing, observability, and human-review workflows. Partner with customer security and infrastructure teams on restricted environments, deployment readiness, release procedures, and operational handoff. Coach teammates, capture reusable practices, troubleshoot with limited tooling, and translate customer insights into product feedback. The role requires an active U.S. government clearance and up to 50% travel.

Lead a team building turbopuffer’s user-facing features, including dashboards, documentation, SDKs, observability, alerting, insights, and billing. Design and implement end-to-end developer experience improvements across web interfaces and the core database. Manage and grow a team, support hiring, help customers optimize workloads, and communicate complex concepts clearly. The role requires product-minded engineering leadership, strong web application experience, SaaS expertise, UX sensitivity, and technical people management.

Build and operate full-stack software for legal case analysis, including interfaces, data models, document-processing workflows, retrieval and LLM-powered features. Design systems that connect claims to evidence, preserve competing interpretations, evaluate AI outputs, incorporate attorney corrections, and protect case-sensitive information. Own major features from design through launch, make architectural tradeoffs, review code, and guide technical decisions while collaborating with lawyers, founders, and engineers.

Leads Salesforce development and architecture, building scalable solutions with Apex, Lightning Web Components, integrations, automation, and advanced platform configuration. Designs AI-enabled CRM capabilities using Einstein AI, Data Cloud, predictive analytics, and external AI/ML services. Partners with business and technical stakeholders on solution design, data architecture, governance, testing, DevOps, release management, and production support. Provides technical leadership, mentors developers, and drives platform strategy and continuous improvement.