Senior Applied AI Software Engineer (US hours)
Build and deploy reliable production software and AI systems, applying LLMs, agentic workflows, and data science to automate complex processes and deliver measurable business value.
1,087 total jobs
188 new jobs this week
Build and deploy reliable production software and AI systems, applying LLMs, agentic workflows, and data science to automate complex processes and deliver measurable business value.
Build and ship LLM-powered tools, agents, and automations that streamline marketing and growth workflows, integrating with marketing platforms and measuring productivity and performance gains.
Develop and deploy scalable AI and machine learning solutions, from predictive models and NLP applications to LLM-powered conversational tools and agentic systems, using cloud and big data platforms.
Build and operate production AI capabilities for Research Flow and other products, spanning generative AI, enterprise RAG, agentic workflows, evaluation, and scalable infrastructure.
Shape the technical direction of Research Flow by designing, building, evaluating, and operating production AI systems, while guiding cross-team architecture and engineering standards.
Shape the technical direction of Research Flow and Typeformโs AI systems, leading cross-team architecture and hands-on delivery of reliable generative AI, RAG, and machine learning capabilities.
As an AI Engineer, you will be responsible for ensuring the reliability and performance of production AI systems, focusing on retrieval pipelines, tool-using agents, and evaluation processes.
As a Senior Open-Source Python Engineer, you'll design and maintain core features for machine learning libraries, driving adoption and enhancing user experiences.
As a Senior Open-Source Python Engineer, you'll design and maintain libraries that empower developers to create machine learning applications, driving adoption and enhancing user experiences.
Coach engineering teams in adopting AI-assisted and agentic development, while building practical prototypes, improving delivery workflows, and measuring the impact of AI tooling on software outcomes.
The Software Developer - AI/ML will develop AI strategies and software components for Smile Digital Health, focusing on customer-specific requirements in a scalable Agile environment.
Build the platforms, tools, and guardrails that make AI agents effective across engineering and product, while evolving existing systems and delivering trustworthy, measurable AI capabilities in production.
Lidera tecnicamente a construรงรฃo e evoluรงรฃo de software em um Agentic SDLC, conectando arquitetura e execuรงรฃo e orquestrando agentes de IA para entregar soluรงรตes escalรกveis, seguras e alinhadas aos padrรตes tรฉcnicos.
Designs and scales enterprise-grade AI agents, autonomous workflows, and LLM-powered applications, guiding high-value use cases from experimentation to secure, governed, production-ready deployment.
Design, build, and deploy production AI agents and automations for customer workflows, from discovery and integration through testing, handoff, and ongoing reliability, while measuring sustained operational impact.
Lead and grow an AI/ML engineering team, own machine learning roadmap execution, and guide the delivery of reliable, safety-oriented production systems in partnership with product and data science.
As a Staff Machine Learning Engineer on the Identity Verification team, you'll lead the development of ML systems that ensure the legitimacy of users and documents at Coinbase.
Leads the applied AI team and B2B data graph strategy, combining machine learning, data science, and agentic systems while shipping production code and setting standards for evaluation, cost, and reliability.
The Principal Enterprise Data Platform Architect will lead the technical direction for Data Platform Engineering, defining and evolving the enterprise Data & AI Operating System while mentoring engineering talent.
The Senior Genesys Cloud Specialist will enhance the contact center platform by integrating WhatsApp and developing IVR functionalities while supporting cross-functional business initiatives.
Build production-ready AI systems and agentic workflows for Marketing, Sales, and RevOps, taking ambiguous commercial problems from technical design through deployment while improving reliability, quality, and business impact.
Lead architecture and delivery of secure, reusable cloud, data, process intelligence, and AI solutions for federal clients, owning technical direction and production deployment across AWS GovCloud and Celonis environments.
Federal Solution Architects at Collibra deliver tailored data governance strategies and architectural designs for U.S. federal agencies, ensuring customer success and compliance with government standards.
Develop and refine production GenAI features, including multi-agent capabilities, across the stack, building on a computation engine designed for deterministic, auditable results and real-world product impact.
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.