Top Artificial Intelligence Jobs

Provides customer assistance through email, phone, chat, and other channels; answers questions, resolves issues, documents interactions, maintains customer records, follows up on outstanding concerns, escalates complex cases, and shares recurring customer feedback with internal teams. The role requires strong communication, organization, problem-solving, attention to detail, confidentiality, and the ability to work independently in a remote environment.

Build production applications and integrations powered by multimodal AI models. Responsibilities include designing scalable architectures, developer SDKs, evaluation and benchmarking infrastructure, reference implementations, and high-volume data pipelines. The role also involves debugging across application and inference stacks, partnering with enterprise adopters, guiding proofs of concept, and translating real-world requirements into model and platform roadmap improvements.

Own sales operations and deal desk processes, including pricing approvals, forecasting, pipeline and performance analysis, territory and quota planning, KPI governance, data quality, and variable compensation reporting. Partner with sales leadership, finance, and systems teams to structure enterprise deals, maintain pricing guardrails, explain revenue metrics, and improve quote-to-order workflows.

Tutor Intelligence invites candidates to submit general applications for opportunities involving robot design, AI, manufacturing, deployment, fleet maintenance, sales, and scaling operational processes. Applicants should demonstrate work, ownership, curiosity, adaptability, collaboration, discipline, and communication. A LinkedIn profile is required, along with a resume and optional portfolio, GitHub, papers, or PDFs describing desired projects and ideas.

Own NVIDIA’s config-as-code foundation for its EDA compute farm. Design LSF deployment schemas, build federated deployment pipelines with staged rollout and rollback, eliminate configuration drift, and create regression testing for scheduled LSF upgrades. Partner with an LSF specialist to encode scheduler expertise into templates and policies. The role also requires infrastructure automation, GitOps at scale, tooling development in Go, Python, and shell, and management of stateful production infrastructure.

Build and deploy production-grade AI applications for enterprise clients. Translate business requirements into solutions using Python, LLMs, RAG, AI agents, LangChain or similar frameworks, vector retrieval, and modern web technologies. Develop backend services and user-facing applications, integrate enterprise APIs and IAM systems, deploy with cloud platforms, Docker, and CI/CD, and optimize application quality, security, latency, reliability, and business performance. The role is full-time, remote, client-facing, and requires strong stakeholder communication.

Make outbound calls for B2B technology companies, engage gatekeepers and decision-makers, and book qualified meetings for customer sales teams. Use an AI-enabled platform for lead lists, dialing, call preparation, and coaching. Contractors choose their schedules and accounts, complete training and certification, follow approved scripts, and earn commission based on attended qualified meetings.

Owns requirements, systems integration, and verification and validation for warehouse robotics hardware, including autonomous drones, forklift vision systems, charging, and battery systems. Responsibilities include technology evaluation, test planning and execution, environmental and compliance testing, technical budgeting, hazard analysis, failure investigation, and production test strategy. The role is hands-on and requires building test rigs, analyzing data, integrating hardware with firmware and software, and delivering objective evidence for product release.

Develops, improves, and optimizes manufacturing processes for safety, quality, productivity, reliability, yield, and cost. Responsibilities include troubleshooting, root-cause analysis, process trials, validation, documentation, continuous improvement, process control, new product introduction, equipment implementation, and production scale-up. The engineer collaborates with manufacturing, quality, maintenance, engineering, and R&D teams while applying Lean, Six Sigma, and statistical methods.

Conduct account research across pharma and biotech, build prospect lists, write and optimize outreach, manage stakeholder relationships, coordinate tailored demos, create sales materials, maintain HubSpot pipeline hygiene, analyze conversion metrics, support conferences, and develop AI-enabled commercial workflows. The role offers a path toward Account Executive responsibilities and involves close collaboration with founders, sales, and science teams.