Top AI Engineer Jobs

This role involves designing and building next-gen payments platforms using blockchain and AI technologies, focusing on payment modernization, security, and regulatory compliance.

Design and develop a Brandeis-compliant, instructor-facilitated hybrid microcredential course on AI literacy and practical applications for Jewish professionals. Responsibilities include creating the syllabus, multimedia materials, learning objects, and aligned assessments; serving as the subject matter expert; translating complex AI and policy concepts into accessible learning experiences; and collaborating with instructional designers while meeting LMS requirements, review cycles, and project deadlines.

Build frontend experiences for autonomous AI agents, including conversational interfaces, memory and context views, live run timelines, approval flows, worker configuration, and reusable agentic components. Develop real-time interfaces using streaming, WebSockets, and server-sent events while managing complex client state, reconnection, partial results, and failure recovery. Collaborate with backend and agent engineers to shape APIs and deliver fast, accessible, polished products.

Build and maintain responsive web and mobile interfaces with React.js or React Native while integrating AI and LLM capabilities. Develop prompts, AI agents, copilots, chatbots, RAG workflows, and intelligent assistants using Python and agent frameworks. Collaborate with product, UX, and backend teams, contribute to architecture and code reviews, optimize performance, and evaluate emerging UI and AI technologies.

Build production-ready AI-native applications, agentic workflows, cloud infrastructure, data platforms, integrations, and DevOps systems supporting nuclear engineering workflows. Responsibilities may span front-end/full-stack development, agentic AI, data and systems integration, or platform infrastructure. The role partners with systems engineering, licensing, and quality teams, documents architectures, maintains development and QA standards, and supports reliable, compliant delivery in a hybrid environment.

Develop production-ready AI-native applications, agentic workflows, and cloud infrastructure supporting nuclear engineering workflows. Responsibilities may span React full-stack development, AWS Bedrock agent architectures, RAG and Graph-RAG, engineering data lakehouses and integrations, or platform infrastructure and DevOps. The role includes collaborating with systems engineering, licensing, and quality teams; documenting architecture; implementing testing, security, governance, and CI/CD practices; and supporting regulated engineering applications under general supervision.

The AI Developer will develop, test, and deliver NICE CXone AI solutions, focusing on chat bots and other AI systems, while also supporting production and development teams.

Design, build, and optimize software applications and systems; implement software architecture and design patterns; improve performance, scalability, and reliability; collaborate with cross-functional teams; conduct code reviews and ensure adherence to best practices.

Develop and maintain full-stack web applications using C#/.NET, ASP.NET, SQL Server, JavaScript, React or Angular, Azure, and microservices. Responsibilities include architecture, requirements analysis, coding, testing, debugging, deployment, production support, technical documentation, and troubleshooting across on-premises and cloud environments. The role also applies LLM coding agents, agentic coding, and prompt engineering while collaborating with business users, analysts, QA teams, and vendors.

Provides technical pre-sales and consulting support for Microsoft’s GitHub, Visual Studio, Azure AI, and cloud developer platforms. Leads demos, proofs of concept, hackathons, code-with sessions, and architecture workshops for enterprise development teams. Advises customers on secure, scalable cloud-native architectures, DevOps, CI/CD, and AI-assisted software development; resolves technical objections; collaborates with engineering; and promotes Microsoft solutions through customer and developer communities.

Lead RTL development and microarchitecture for an AI-enabled RISC-V CPU core. Responsibilities include designing vector and matrix-processing engines, optimizing power, performance, area, and timing, developing detailed specifications, supporting functional verification, debugging simulations, and partnering on physical design validation. The role requires expertise in high-performance processor architecture, datapath design, vector and matrix processing, and hardware design languages.

Build and evolve ngrok’s AI Gateway, including real-time AI traffic handling, policy enforcement, rate limits, usage caps, access rules, token tracking, observability, and explainability. Design customer-focused gateway abstractions and collaborate with Gateway, Customer Data, Platform, product, and design teams to align enforcement, usage, and billing signals. The role involves full-stack development using primarily Go and TypeScript in a production AWS, Kubernetes, and distributed-systems environment.

Leads technical developer relations and strategic software-account engagement for NVIDIA integrations across observability, security, and AI platforms. Builds demos, sample code, guides, APIs, SDK integrations, and technical enablement programs; advises developers and partners; drives adoption and co-innovation; delivers talks and workshops; coordinates with engineering, product, sales, legal, and marketing; and translates ecosystem trends and developer feedback into product and platform strategy.

Build integrations that discover, identify, and govern AI agents across third-party platforms such as Salesforce Agentforce, Microsoft, AWS, and Google Cloud. Retrieve native identity signals, integrate them with Delinea’s identity layer, and govern agents through provider APIs and attestation. Improve shared discovery capabilities while using connector patterns, OAuth, token exchange, and event-based ingestion. The role requires substantial backend engineering experience, strong integration skills, and familiarity with cloud, AI agent, security, or identity ecosystems.

Build scalable customer intelligence workflows using Python, SQL, automation, product usage analytics, customer health modeling, and applied AI. Develop Slack summaries, data pipelines, renewal prediction models, and LLM-driven synthesis workflows. Partner with Customer Success and Analytics Engineering to identify customer risk, expansion, and adoption signals, improve health scoring, and deliver actionable insights. The role is remote-first and intended for an early-career engineering or analytics professional.

Develop and deploy AI-enabled features, including LLM and RAG workflows, for ontology-based intelligence applications. Integrate data streams, migrate cloud platforms across AWS, OpenShift, and Kubernetes, and build secure, scalable software using Python, Java, and Scala. Participate in Agile/Scrum delivery, DevSecOps, testing, CI/CD, code hardening, and vulnerability remediation. Collaborate with infrastructure, security, and mission teams while supporting complex network deployments and mentoring junior developers.

Define the technical vision and architecture for enterprise AI products, including multi-agent systems, tool-use frameworks, NL-to-SQL engines, RAG, and LLM reliability infrastructure. Partner with Product, Engineering, and Research leadership to bring AI capabilities to production scale. Design reusable context-engineering patterns, mentor senior engineers, lead high-stakes technical initiatives, and drive experimentation and technical excellence.

Build and productionize a Palantir Foundry analytics and predictive platform, including data pipelines, ontology, applications, governance, observability, and AI agent logic. Partner with client business and product teams to run discovery, define measurable outcomes, shape the product roadmap, and train internal engineers. The role requires end-to-end ownership, customer-facing consulting, executive presentations, and hands-on development with Python, SQL, LLMs, and AI agents.

Build and operate production AI agent features for Plane, including agent workflows, MCP servers, retrieval systems, customer-facing interfaces, evaluation harnesses, tracing, permissions, and audit models. The role requires shipping reliable LLM-backed features to real users, managing tool calling and failure recovery, measuring quality and performance, and partnering with engineering and product teams to deliver production surfaces.

Build and maintain high-throughput, low-latency backend services for Life360’s AdServer and Exchange platform. Own projects from architecture and implementation through deployment, improve real-time bidding and auction logic, integrate advertising partners, and support observability, incident response, and reliability. Collaborate with architects and product teams, use AI coding tools daily, mentor junior engineers, and contribute to engineering standards.

Owns the integration and testing manufacturing line for AI satellite compute hardware. Responsibilities include managing test infrastructure, designing tooling, assessing manufacturability, integrating vehicles, optimizing test operations, and investigating non-conformances. The role requires collaboration with engineers and technicians, hands-on work in production environments, test planning, configuration management, and occasional travel to SpaceX sites.

Designs and commissions factory automation systems for satellite AI hardware manufacturing. Responsibilities include PLC programming, robotic and conveyor controls, HMI development, electrical system design, safety compliance, machine commissioning, production-rate validation, troubleshooting, and operational handoff. The engineer also develops schedules and budgets, supports electromechanical integration, and ensures compliance with industrial safety and electrical standards.

Lead the vision and strategy for BNY's developer-facing AI products, collaborating across teams to enhance the developer experience and innovation in software engineering.

Own the design-for-manufacturing software layer of the Matter Compiler CAM stack. Develop computational geometry algorithms, manufacturability constraints, layout and retention logic, physical process models, validation systems, and production knowledge bases. Collaborate with AI, modeling, design, and process engineering teams to translate manufacturing expertise into auditable, testable code and validate results against fab runs.

Design, build, and optimize Python backend services, APIs, integrations, and data pipelines supporting intelligent agent workflows. Implement LLM, embeddings, RAG, and vector database solutions using AI/ML frameworks and external APIs. Improve deployed agents through prompt engineering and fine-tuning, while contributing to testing, CI/CD, monitoring, architecture, documentation, and enterprise deployment reliability.