Top AI Engineer Jobs

Work directly with clients to design, build, and deploy end-to-end production software and AI solutions. Lead solution architecture across backend, frontend, data pipelines, and ML models; develop production-grade applications; engage stakeholders from engineers to executives; and contribute reusable frameworks and best practices.

The role involves owning the infrastructure for training and deploying RL-based control systems in humanoid robots, enhancing speed, efficiency, and collaboration among teams.

As an AI Engineer, you will develop AI security capabilities, integrate features for vulnerability detection, and maintain APIs for secure interactions while collaborating across teams.

As a Staff Software Engineer in Applied AI, you will architect AI systems for vulnerability detection, collaborate across teams, and improve AI model performance.

As a Senior Software Engineer on the AI Platform team, you will develop AI security features, enhance vulnerability detection, integrate AI patterns, and collaborate across functions to deliver solutions.

As a Senior Software Engineer for Applied AI, you'll develop AI security capabilities, integrate AI models, and improve security workflows within HackerOne's platform while collaborating across teams.

Build and deploy agentic, multi-step AI workflows and reusable agent skills; generate production AI images; use AI coding tools daily; develop API integrations (Google Workspace, Notion, Slack, Workable); own projects end-to-end including logging, error handling, and monitoring.

The Senior Software Engineer will build AI solutions for clinical workflows, collaborating with teams to enhance software architecture and mentor other engineers.

The Principal Engineer will lead the design and development of ML infrastructure, mentor engineers, and provide strategic technical leadership for AI-powered applications in healthcare.

Build internal tools, automations, and AI-assisted systems to reduce operational friction. Develop full-stack features in JavaScript/TypeScript with frameworks like Next.js and Postgres, use AI-native developer tools, debug locally and in production, and move solutions through deployment and production-readiness. Work closely with business users to prototype, iterate, and ship practical internal software that connects workflows and reduces manual work.

Design, prototype, and validate high-voltage DC power conversion and distribution systems (including 800V-class). Develop gate drivers, protection/sensing, and perform SPICE-based simulation, PCB/layout optimization, and high-power lab testing. Integrate with embedded control platforms and collaborate across thermal, mechanical, and system architecture teams to deliver validated hardware quickly.

The role involves developing AI/ML algorithms in various disciplines, analyzing datasets, and mentoring team members within a research environment.

Design and develop machine learning systems for construction robots, including scalable infrastructure, computer vision models, and data analysis for performance improvement.

The Principal Software Engineer will lead architectural decisions, mentor engineers, optimize system performance and reliability, and drive technical direction for LangChain's observability and evaluations platform.

Design and implement backend services for an AI-driven automation platform, focusing on LLM orchestration, API development, and system reliability.

Build and maintain integrations and automations connecting CRM, Microsoft 365, e-signature, custodial/banking systems and reporting. Use LLMs (Claude) and automation tools to extract, process, and verify document-heavy workflows with human-in-the-loop review, monitoring, and auditability, within security and compliance frameworks. Partner across teams and help set AI/automation standards.

Build AI-powered internal tools, prototypes, automations, and lightweight full-stack apps. Work with stakeholders to identify workflows, rapidly prototype using AI-assisted tools, design prompts and agent workflows, validate with users, iterate, document handoffs, and partner with engineering to productionize high-impact internal tooling.

Build and scale backend services, platform infrastructure (serverless), and APIs powering financial workflows for clinical development. Integrate with LLM agents and AI workflows, implement frontend components as needed, resolve production incidents, contribute to architecture, and mentor teammates.

Build, operate, and secure the firm's AI infrastructure and developer tooling to enable Python-based AI applications. Implement Azure AI Foundry, integrate LLM APIs (Anthropic, Azure OpenAI), design data pipelines (ADF, Databricks), manage cloud infrastructure (IaC, Kubernetes), and enforce security, governance, and compliance for regulated financial environments.

As an AI Engineer at Extend, you'll build advanced document processing infrastructures and AI product features, impacting customer operations significantly.

Build and integrate AI agents and automation workflows, extend full-stack apps with LLMs, manage data pipelines (Snowflake, Postgres), support server-side event tracking, analytics and dashboards, ensure secure HIPAA/SOC2-compliant handling of PII, and collaborate with leadership to deploy AI-driven marketing and compliance solutions.

Develop and manage the research infrastructure for AI at Databricks, focusing on large-scale training, orchestration, and improving developer productivity.

Design and scale the infrastructure for Fury's AI model training and deployment, ensuring efficient data pipelines and collaboration with AI teams.

Embed with internal teams to map workflows, design and ship production agentic AI systems that automate CX, finance, ops, and developer productivity. Build LLM integrations, observability, APIs, reusable automation modules, and data products to replace manual operational work.

Embed with internal teams to identify high-leverage manual workflows and build production-grade agentic AI systems, integrations, and automation (LLM-powered interfaces, observability, APIs, dashboards) that reduce manual effort across CX, finance, ops, and logistics.