1,106 total jobs
189 new jobs this week
As a Senior ML Engineer, you will develop scalable backend systems and APIs, operationalize ML models, and integrate advanced AI technologies to enhance decision-making for businesses.
Develop AI and automation solutions for internal business teams, from stakeholder discovery and prototyping through testing, deployment, and documentation, using Microsoft tools to improve workflows and deliver measurable impact.
Design, build, and operate production-ready AI agents that automate infrastructure workflows, including incident response, provisioning, deployments, and database operations, with a focus on safety and reliability.
The AI Engineer will focus on building, integrating, testing, and deploying AI-enabled applications and enterprise solutions for sophisticated client environments.
The Senior AI Architect will lead the design of secure AI solutions, guide AI Engineers, and translate business needs into practical AI architectures for financial services clients.
Build and deliver AI-powered healthcare products, developing full-stack features, APIs, backend services, and LLM integrations while collaborating with product and clinical teams and applying software, DevOps, and MLOps practices.
As an Applied AI Product Engineer, you will design and implement AI-powered features to enhance patient engagement and operational efficiency in a remote Agile environment.
This role involves partnering with clients to identify AI-driven improvements, translating ambiguous requirements into actionable solutions using Microsoft Power Platform tools.
Build and operate agentic AI workflows that automate internal processes across GTM, Operations, and Finance, owning solutions from discovery through production and establishing reusable, reliable patterns.
Build reliable AI coding-agent workflows and open-source tools that help engineering teams identify and fix instrumentation issues across codebases, while improving agent quality, reliability, and cost.
As a Databricks Solutions Architect, you will leverage your expertise to deliver complex AI and data analytics solutions, create technical content, and support client engagements.
Desenvolve soluções backend em Python para um agente de atendimento com IA, integrando LLMs a sistemas externos e aprimorando APIs, fluxos conversacionais e pipelines de RAG para jornadas B2C e B2B.
As a Lead Generative AI Designer, you will create and optimize AI-generated visual content, ensuring high quality and scalability while defining technical directions for image generation.
Develop and evolve generative AI applications and services using Python and LLMs, designing RAG solutions, integrating existing systems, and improving the scalability, reliability, and observability of AI products.
Concevez et produisez des vidéos pédagogiques d’Activité Physique Adaptée avec des outils d’IA générative, en optimisant les prompts et la qualité visuelle pour différents publics.
Design and optimize prompts, create and refine AI-generated content, and build reusable frameworks that help marketing, sales, and operations teams produce accurate, on-brand work.
Design, build, and optimize AI-powered workflows that reduce manual work and improve business efficiency, integrating automation tools, APIs, chatbots, and AI assistants across teams.
Design and optimize prompts, create and refine AI-generated marketing and business content, and develop reusable frameworks that help teams produce accurate, on-brand outputs.
Design, build, and optimize AI-powered workflows that reduce manual work and improve business efficiency, integrating automation platforms, APIs, chatbots, and AI assistants across teams.
Build and operate production AI services, including agentic systems, LLM pipelines, MCP integrations, and retrieval workflows, with a focus on reliability, evaluation, security, and business impact.
Own and improve PlanetScale’s experience across AI coding agents by building integrations, testing MCP and CLI workflows, measuring agent performance, and creating demos and educational content for developers.
Applies generative AI and emerging production technologies to advertising projects, building ComfyUI workflows and integrating AI-generated visuals with established VFX pipelines and final deliverables.
Architect a conversational AI platform that understands user intent, orchestrates models and agents, retrieves and ranks live provider data, and guides users from discovery to transaction.
Sets AI and machine learning architecture direction for enterprise-scale systems, delivering production multi-agent AI, model safety controls, and real-time data platforms while guiding engineering teams.
Those that list pay offer a median of $190,000 a year. The middle half pay between $165,000 and $225,000.
| Level | Range | Middle half · median |
|---|---|---|
| Mid-level | $139K–$218K · $184K | |
| Senior | $167K–$222K · $190K | |
| Lead | $194K–$245K · $220K |
30% of these listings post pay. From 125 listings with pay in USD, at most three per company.
5% of these listings are open worldwide and 2% to a whole region, like Europe or Latin America. The other 93% hire in specific countries:
From 927 listings that state where they hire.
What hiring companies here ask for far more often than across all remote jobs, so it is worth putting front and center on your resume.
Share of the 431 companies hiring here that ask for each skill, and how many times as often as across all remote jobs. Soft skills like communication are left out.
Half stop taking applications within 34 days of being posted, and 1 in 4 within 12 days. Applying in the first week counts.
12 days
1 in 4 closed by then
34 days
Half closed by then
76 days
3 in 4 closed by then
From 530 listings that closed in the last 120 days, at most three per company.
