Top Artificial Intelligence Jobs

Build and ship end-to-end product features, debug and resolve production issues, partner with Product on UX and direction, use AI heavily for development and prototyping, and iterate quickly across the stack to improve quality and speed.

Owner of consumer product areas (creation, discovery, feed, sharing, retention). Turn ambiguous user problems into hypotheses, define metrics, analyze funnels/engagement, work with engineering/design/data to ship experiments, and use AI tools to accelerate research, analysis, prototyping, and execution in a fast startup environment.

The role involves building AI-driven e-commerce systems, managing Shopify operations, integrating with NetSuite, and driving revenue through innovative marketing automation.

Design, build, and ship end-to-end AI features: implement multi-step agentic flows with LangChain/LangGraph, integrate LLMs, connect to live data sources, deploy and monitor AI services on cloud, and instrument observability. Optionally build React/TypeScript front-end components for streaming AI outputs and co-pilot experiences.

Lead end-to-end onboarding for enterprise customers: run discovery, design solutions, configure systems, build integrations, manage escalations, adopt AI-driven workflows, and drive go-lives ensuring fast customer value.

The Associate Director of Research Administration ensures financial management of research projects, oversees staff, develops policies, and maintains compliance with regulations, fostering a high-quality service environment.

Lead technical delivery of AI-enabled web apps, dashboards, and automation. Build full-stack systems (frontend, backend, infra), integrate LLMs, RAG, vector DBs and third-party services, prototype then productionize solutions, work client-facing for scoping and translation, and provide technical leadership across architecture, standards, and documentation.

SoftSnow is seeking an AI Ethicist to define ethical guidelines, assess risks, and ensure compliance in AI implementations across various industries.

Design and build the intelligence layer: retrieval and memory systems, RAG pipelines, feedback and evaluation loops, RL and fine-tuning experiments, LLM integration, observability for AI performance, and collaborate to productize AI features.

Lead production agentic development and build R&D tooling that accelerates team workflows. Ship weekly in the main codebase, create and improve custom agents, MCP integrations, evals, and codegen pipelines, train engineers on new workflows, and raise team standards for prompts, tooling, and autonomous throughput.

Own and build Tern's AI and data systems end-to-end: data pipelines, production AI services, evaluation harnesses, monitoring and reporting. Ensure data quality across ingestion, modeling, and reporting, ship reliable production software, and collaborate with product squads to deliver trustworthy AI features and advisor-facing analytics.

Lead AI initiative lifecycle and integration across enterprise platforms. Assess AI project feasibility and ROI, document workflows and data flows, design integration with Salesforce/FIT/RPA, coordinate cross-functional stakeholders, perform pre/post-deployment testing and monitoring, and establish standards and operational frameworks to ensure adoption and performance.

Audit and ensure quality of data labeling work for ML using human-in-the-loop processes. Provide feedback, train and support annotators, monitor workflows, identify recurring issues, and help improve guidelines and processes.

Evaluate AI outputs, perform audit-based reviews, identify patterns and failure modes, apply and improve annotation/evaluation guidelines, document findings, and communicate insights to cross-functional teams to improve model performance and evaluation frameworks.

Evaluate AI model outputs, perform audit-based reviews to identify patterns and failure modes, apply and refine guidelines, document findings, and collaborate with leads and cross-functional teams to improve model evaluation and data quality.

The AI Strategy Director is responsible for managing client relationships, driving AI transformation projects, leading discovery sessions, and ensuring high-quality delivery while coordinating between clients and the engineering team.

The AI Analyst will develop AI solutions, write SOPs, analyze data, and collaborate with specialists while staying updated on AI trends.

As an AI Prompt Engineer, you'll develop prompt templates, conduct A/B tests, collaborate with trainers, and maintain prompt libraries for generative AI applications.

The AI Integrator will lead the design and deployment of AI solutions, integrate systems, support client adoption, and manage changes in workflows.

Develop, test, and improve AI-powered voice and chat agent workflows: write scripts, configure conversational flows, analyze user data, perform QA, troubleshoot agent behavior, and collaborate with engineers and designers to optimize performance.

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

Lead architecture and evolution of AI-powered systems, ensuring they are reliable and scalable. Oversee delivery of AI-native systems and establish standards for API contracts and evaluation frameworks.

The Founding AI Product Engineer will develop AI-native solutions for loan servicing, owning product features, collaborating with customers, and building responsive web apps and APIs.

Lead the design and evaluation of conversational AI systems from data preparation to model deployment, focusing on transforming unstructured conversations into actionable insights.

Lead design and evaluation of applied AI systems for conversational intelligence. Responsibilities include model architecture, evaluation frameworks, and collaboration with cross-functional teams.