1,103 total jobs
189 new jobs this week
Lead a small engineering team while building production-grade agentic AI systems, owning LLMOps standards and evolving the ML platform to deliver reliable AI capabilities into production.
Leads mainframe infrastructure engineering through IBM z/OS and MVS systems programming, managing SMP/E software installation and maintenance while supporting system architecture, operations, and technical stakeholders.
Own ambiguous 0โ1 AI initiatives from problem framing through production, building reliable agents and platform capabilities with strong evaluation, observability, governance, and human oversight.
Build production AI features that turn document-heavy tax incentive workflows into reliable software, combining multi-agent extraction and ML predictions with deterministic calculations, validation, and human review.
Evaluate, prototype, implement, and improve AI solutions by partnering across business and technical teams, supporting production integrations and applying responsible AI, security, privacy, and governance practices.
Own and deliver production-grade Generative AI and agentic solutions, from technical discovery through continuous improvement, applying strong software engineering, RAG, enterprise integrations, evaluation, and observability.
Lead client engagements to identify and prioritize high-value AI opportunities, assess tools and platforms, and turn business needs into strategies, business cases, and practical implementation roadmaps.
Design and deliver production AI features for SaaS products, partnering with product, engineering, and data teams to turn business needs into reliable, scalable services that improve customer outcomes.
Desenvolve e orquestra agentes de IA generativa para canais de voz e chat, criando fluxos conversacionais de baixa latรชncia e alta precisรฃo, integrados a sistemas legados e com observabilidade.
Develop AI agents, orchestration, and guided workflows for an enterprise AI platform, building conversational experiences and integrating agent capabilities with backend systems and observability tools.
Develop AI agents, orchestration, and conversational workflows for an enterprise AI platform, integrating Python, LangGraph, and LangChain with backend systems and observability tools.
Lidera decisรตes de arquitetura e a execuรงรฃo tรฉcnica de uma squad, contribuindo com cรณdigo, prรกticas de desenvolvimento com IA e entregas fullstack em Java e React, alรฉm de orientar e desenvolver o time.
Build AI-powered applications, agents, and automated workflows that improve e-commerce marketplace performance, streamline marketing operations, and turn business data into actionable insights.
Build autonomous AI agents for executive workflows, develop and validate new capabilities, measure quality across representative tasks, and improve reliability through production analysis and durable fixes.
Build and operate production AI agent capabilities for productivity workflows, from Python orchestration and business-software integrations to full-stack features, reliability improvements, and production quality.
Architect and demonstrate cloud-based AI and machine learning solutions for customer teams, lead proofs of concept, and partner across sales, product, and engineering to drive adoption and influence product roadmaps.
Build autonomous AI agents and internal developer platform capabilities that automate software delivery workflows, establish reliable quality and safety controls, and scale practical AI solutions across engineering teams.
Build and maintain production AI systems for clinical research, including multimodal data processing, medical-document RAG, and agentic tools for patient recruitment and clinical site selection.
Build and improve AI applications and internal tools, implementing LLM, retrieval, and agent workflows while turning prototypes into reliable systems for enterprise automation.
Build and operate production AI knowledge systems and agentic applications, establish Claude Code practices, and lead training and adoption across client teams while ensuring solutions are secure, reliable, and maintainable.
Lead enterprise AI adoption and change initiatives by advising executives, enabling employees through role-based learning and workflow guidance, and measuring sustained usage and business impact.
Build, configure, and test production customer contact center solutions on Google CCAI, implementing IVR menus, call flows, routing, integrations, and thoroughly tested, documented configurations.
As a New College Graduate at Bitdeer AI, you will develop large-scale AI cloud services and contribute to cutting-edge AI infrastructure and platforms.
Build and maintain AI-powered marketing and operations automations, from email and client follow-ups to lead funnels, social content, messaging agents, and integrated Notion workflows.
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 ยท median |
|---|---|---|
| Mid-level | $139Kโ$218K ยท $184K | |
| Senior | $167Kโ$222K ยท $190K | |
| Lead | $194Kโ$245K ยท $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.
