Top AI Engineer Jobs

Design, build, and maintain AI-enabled workflow orchestration and automation systems integrating AI models, CRMs, document systems, client portals, and internal tools; implement API/webhook integrations, vector retrieval, prompt orchestration, monitor reliability/performance, and ensure governance, compliance, and scalability.

Design, build, and maintain AI-enabled workflow orchestration and automation systems for legal service delivery. Implement integrations between AI platforms, CRMs, document systems, client portals, and payment systems. Develop event-driven pipelines, retrieval and prompt orchestration, agent workflows, and observability. Monitor reliability, troubleshoot integrations, support compliance and governance, and document architectures and operational standards.

Design and implement AI-native workflow orchestration and automation systems for legal services. Build integrations between AI models, CRMs, document systems, client portals, and operational tools; develop event-driven pipelines, retrieval and prompt orchestration, monitoring, and compliance controls. Collaborate with legal, product, and engineering teams to translate legal workflows into scalable, secure architectures and troubleshoot production issues.

Design and implement AI-native workflow orchestration and automation systems for legal services. Build integrations between AI models, CRMs, document systems, client portals, and internal tools. Develop agent workflows, vector retrieval and observability pipelines, monitor reliability and performance, troubleshoot integrations, and support governance, compliance, and scalable client experiences.

The Senior Fullstack Engineer will lead the design and development of scalable software solutions, enhancing product architecture, collaborating with cross-functional teams, and promoting coding best practices.

Early-career software engineer who writes Python to integrate LLMs and AI services into AWS-hosted applications. Build APIs, data pipelines, embeddings/vector search, and support deployment, testing, and monitoring of AI features while following responsible AI and software engineering best practices.

Design, implement, test, and support highly reliable real-time software for gateways, satellites, user terminals, and switches in a high-capacity satellite network. Lead architecture and code reviews, build prototypes, develop tooling for deployment, data analysis, and testing across virtualized, hardware-in-the-loop, and on-orbit environments, and maintain CI/release systems.

Design, implement, and deploy embedded guidance, navigation, and control systems for satellites including actuators, attitude control, state estimation, and fluid/power system controls. Build and maintain high-fidelity simulations (C++, Python, MATLAB), implement production firmware/software (C++), support hardware sizing, testing, flight software bringup, and fleet performance monitoring.

Design, build, and operate production agentic AI systems on AWS Bedrock AgentCore using Strands/LangGraph. Implement tool integrations (MCP/Gateway), evaluation pipelines and LLM-as-judge CI gates, observability, cost/latency controls, and guardrails for agents operating on live dealer data.

Design and build systems that automate and accelerate research workflows: evaluations, data and evaluation flywheels, agent harnesses, RL environments, experiment orchestration, sandboxed runtimes, integrations with research infrastructure, and metrics to measure research productivity and safety.

Design, build, and deliver enterprise AI solutions using LLMs, cloud platforms, and container orchestration. Own end-to-end delivery, partner with stakeholders, coach junior engineers, and produce production-ready integrations, prototypes, and automations.

Design, build, test, and operationalize complex data solutions and pipelines to support Generative AI, ML, and BI. Analyze data sources, apply transformations and quality controls, incorporate data governance/security, resolve complex defects, and collaborate across teams to deliver and educate on analytic products.

Design, train, deploy, and monitor ML/AI models and MLOps pipelines (including NLP, LLM, RAG, generative AI). Optimize performance, integrate models into applications/APIs, ensure security, documentation, and collaboration with engineers, analysts, and SMEs for federal missions.

Build and scale AI-powered marketing skills, workflows and automations. Prototype and evaluate LLM tools, author and refine prompts, embed AI across campaigns, train teams, measure impact, maintain documentation, and establish governance and quality standards to ensure secure, compliant, and repeatable AI-driven marketing operations.

Design and optimize large-scale AI platform internals: inference runtimes, model serving, GPU and distributed performance, context engineering, cost optimization, release safety, observability, and production reliability. Provide technical leadership, mentor engineers, define architecture trade-offs, and ensure safe, cost-efficient, and scalable deployment of LLM and agentic systems.

The Principal Software Development Engineer leads the architecture and delivery of AI-driven healthcare applications, overseeing full stack development and collaborating with stakeholders to align technical solutions with business needs.

Develop and operate Digital Twin infrastructure and AI-assisted systems engineering tools. Build multi-fidelity FMU plant models and FMI co-simulations, deploy LLM-based pipelines (RAG, semantic search) integrated with GitLab CI/CD, and perform hands-on systems engineering, requirements authoring, safety analyses, and model correlation with vehicle and fleet data.

Design, build, deploy, and maintain internal and guest-facing systems across hotels and restaurants. Build integrations, automations, and websites; manage identity, deployments, networking, and monitoring; use AI-assisted tools to accelerate delivery. Produce documentation, simplify systems, and partner with leadership on long-term technology strategy.

Own and ship the end-to-end platform for engineering customers to train and host physics models. Build frontend, backend, databases, cloud integrations, reusable templates, and UX; iterate on feedback; ensure reliability and scalability in production while collaborating closely with the CEO and founding team.

The AI-Native Technical Support Engineer will handle customer support for NavPro, using AI tools to resolve issues, document incidents, and improve support workflows. Responsibilities include diagnosing technical issues, escalating to engineering when necessary, and maintaining a knowledge base.

As a Staff AI Software Engineer at PromptQL, you'll lead the development of AI systems, design architecture, and optimize performance while shaping the direction of AI technology in enterprises.

The Software Engineer will lead the development of Baseten Voice AI, focusing on real-time model serving systems, collaboratng with teams on architecture and implementation.

Develop and apply AI/ML techniques for anomaly detection in cybersecurity, build and optimize models and tools using Python, Pandas, and C/C++, analyze and troubleshoot security events, work with embedded DoD devices, and support on-site activities with quarterly travel while maintaining an active Secret clearance.

The AI/Machine Learning Engineer will design, develop, and deploy AI models for healthcare, collaborating with teams to enhance patient outcomes using advanced data analytics and machine learning techniques.

Architect, build, and ship agentic AI systems for security operations (detection, investigation, response, threat hunting, vulnerability analysis). Research adversarial robustness, develop tooling and frameworks, integrate LLMs and security tooling, run adversarial tests, publish technical guidance and position papers, set engineering standards, and mentor engineers.