Top Artificial Intelligence Jobs

Own post-sale relationships, retention, renewals, and expansion for AI and enterprise software customers. Build the account management playbook covering onboarding, QBRs, health scoring, and expansion motions. Serve as a trusted advisor to pricing, RevOps, Finance, and Sales leaders; identify growth opportunities; collaborate with GTM, Product, and Engineering; and establish scalable customer success systems as the company grows.

Build and ship end-to-end software features across the stack, taking workflows to production and solving real-world problems at scale. Interns will work with technologies including React, React Native, TypeScript, Python, Node.js, PostgreSQL, and cloud infrastructure. The role emphasizes rapid iteration, code quality, customer empathy, communication, and contributing to AI-powered software for offline sales organizations. This is an in-office NYC position requiring intensive collaboration and customer interaction.

Own the evaluation, selection, optimization, and production deployment of large language models powering legal and medical document workflows. Build EvalOps and monitoring frameworks, benchmark model quality, cost, speed, and resilience, manage model transitions, optimize RAG and orchestration pipelines, and reduce hallucinations. Partner with product and go-to-market stakeholders while independently implementing changes across staging and production.

Own the technical customer journey from discovery and demos through proof-of-concept, onboarding, and expansion. Partner with Account Executives, present to technical and executive stakeholders, lead proofs-of-concept, support deployments, create enablement materials, translate customer feedback for product and engineering, and influence messaging, go-to-market strategy, and roadmap priorities.

Reviews AI-generated legal deposition transcripts against audio or video, correcting grammar, punctuation, formatting, terminology, speaker identification, and completeness. Conducts legal terminology research, applies transcription style guidelines, performs live data tagging, and meets deadlines while adapting to evolving AI transcription tools and workflows.

Build and maintain production-grade Golang backend services for an AI-driven investment platform. Design APIs and data pipelines supporting AI and reasoning systems, improve performance, reliability, and observability, review scalable architectures, and debug production issues. The role requires end-to-end system ownership, collaboration with AI and product teams, and mentoring as responsibilities grow.

Supports graphic design and print production for digital and physical materials, including social media graphics, presentations, brochures, signage, packaging, banners, and event materials. Assists with layouts, typography, photo editing, print-ready file preparation, quality checks, creative asset organization, and inventory management. Collaborates with the Creative Lead and cross-functional teams while maintaining brand consistency. The role may also support UI/UX mockups and requires occasional local event travel and lifting materials up to 25 pounds.

Generate and qualify B2B leads through strategic outbound research and outreach, manage CRM records and follow-ups, coordinate qualified meetings for the CEO, and use performance data to improve targeting and conversion. The role requires strong communication, enterprise sales-cycle knowledge, familiarity with SaaS or FinTech, and the ability to engage decision-makers in financial services.

Architects and builds production-grade AI systems for enterprise clients, owning the full journey from discovery and system design through hands-on engineering, deployment, scaling, observability, and production hardening. Leads LLM, RAG, agentic, data pipeline, and infrastructure architecture; engages senior client stakeholders; drives go-live outcomes; establishes reusable AI patterns; researches emerging frameworks; and mentors engineers.

Own enterprise deployments of Qodo’s Kubernetes-based platform in customer-managed AWS, GCP, and Azure environments. Install, configure, upgrade, troubleshoot, and optimize infrastructure, writing Python or Bash diagnostics and codifying repeatable processes with Terraform and Helm. Partner directly with customer engineering teams, resolve complex networking and access issues, maintain PostgreSQL and Redis infrastructure, and improve deployment reliability through automation and documentation.