364 total jobs
57 new jobs this week
Build and deploy production AI solutions using Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry, partnering with client teams to turn business needs into secure, measurable tools.
Build and deploy production AI solutions on Anthropic’s Claude platform, creating agents, integrations, and retrieval systems while partnering with client teams to turn business needs into secure, measurable tools.
Build and operate production AI systems by turning research prototypes into dependable product workflows, creating evaluation pipelines and dashboards, and improving model quality, reliability, latency, and cost.
Provide Tier 2 operational support for production AI clusters by troubleshooting GPU compute and storage systems, restoring service, managing incidents, and improving reliable day-to-day operations.
Design and deploy AI and Generative AI solutions, including LLM-powered applications, RAG pipelines, and agent-based automation, taking projects from rapid prototypes to production systems.
Build and scale AI-powered workflows across finance and operations, connecting enterprise systems through APIs and data pipelines while measuring impact and enabling teams to automate their work.
Lead technical discovery and solution design for complex mid-market retail sales, tailoring demonstrations and integrations to customer needs while guiding pilots, evaluations, and implementation handoffs.
Build AI agent systems and own full-stack product development, shaping technical direction, product decisions, scalable backend systems, and infrastructure as the company grows.
Build, test, and launch Marketo email programs for multiple client brands, creating responsive templates, configuring campaign logic and personalization, and ensuring accurate, on-time sends through thorough QA.
Develop and deploy production-ready agentic and multimodal AI systems across language, vision, and speech, owning scoped components from design through deployment and improving their reliability, performance, and cost-efficiency.
Build and deploy production-grade AI-enabled software with client teams, translating ambiguous business needs into reliable products while engineering agent workflows, evaluation, observability, and safeguards.
Build and deploy production-grade AI software with client teams, turning ambiguous business challenges into reliable products through agent orchestration, evaluation, observability, and full-stack engineering.
Build and deploy production-grade AI software with client teams, translating ambiguous business needs into reliable products while engineering agent workflows, evaluation systems, safeguards, and observability.
Build and deploy production-grade AI-enabled software with client teams, translating complex business needs into reliable products while engineering the agent workflows, evaluations, safeguards, and observability around AI models.
Develop features, tools, and modules that connect users to local AI, support a wide range of model types and sizes, and use peer-to-peer technology to scale AI capabilities.
Develop features, tools, and modules that connect users to local AI, support diverse model types and sizes, and use peer-to-peer technology to scale AI capabilities.
Desenvolve ferramentas e aplicações em Python, automatiza processos e analisa grandes volumes de dados, contribuindo para projetos de IA, machine learning e simulação computacional em engenharia.
Build and maintain AI applications and agents for client engagements and internal tools, translating business problems into software while guiding projects from discovery through deployment and client handoff.
Plan and oversee large-diameter water main assessments, analyze inspection data and remaining useful life, and develop risk-based renewal and monitoring programs to support capital planning.
Lead the technical development and automation of business tools as an AI Solutions Engineer & Full-Stack Developer, focusing on system integrations and operational efficiency.
Develops and productionizes machine learning and GenAI solutions, improving data pipelines and existing code while collaborating across data and application teams to deliver reliable, scalable capabilities.
Le Développeur(-euse) Expérience IA est chargé de concevoir et d'optimiser les parcours clients avec l'agent IA d'Upgrade, en garantissant une résolution autonome efficace des problèmes.
As an AI Experience Engineer, you will manage the full lifecycle of customer interactions with Upgrade's AI agent, focusing on journey creation, optimization, and performance metrics.
Build and operate production Python services and LLM-enabled features, translating architectural patterns into reliable AI systems while contributing to retrieval, evaluation, security, compliance, and operational quality.
Those that list pay offer a median of $189,000 a year. The middle half pay between $140,000 and $216,000.
| Level | Range | Middle half · median |
|---|---|---|
| All levels | $140K–$216K · $189K |
22% of these listings post pay. From 32 listings with pay in USD, at most three per company.
5% of these listings are open worldwide and 1% to a whole region, like Europe or Latin America. The other 94% hire in specific countries:
From 311 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 185 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 27 days of being posted, and 1 in 4 within 9 days. Applying in the first week counts.
9 days
1 in 4 closed by then
27 days
Half closed by then
67 days
3 in 4 closed by then
From 186 listings that closed in the last 120 days, at most three per company.
