319 Remote AI Engineer Jobs
Explore top remote ai engineer jobs and find flexible roles such as llm engineer, nlp engineer, computer vision engineer, ai research scientist, machine learning engineer on Kickstart Remote. Work from anywhere and advance your career today!
AI Engineer
AI Engineer developing and productionizing AI systems for payment failure analysis and operational efficiency at fintech. Designing scalable model components for autonomous financial incident analysis.
Senior AI Engineer – LLMs, Agents
Senior AI Engineer developing an intelligent construction assistant with a remote team. Designing workflows and enhancing agent capabilities for the construction industry.
Founding Engineer – Industrial AI Platform, Data Infrastructure
Founding Engineer at a deep-tech start-up building an industrial AI platform. Responsible for designing and implementing data layer architectures and scalable ETL frameworks.
Lead Applied AI Engineer
Lead AI Engineer managing the design and delivery of production-grade AI systems for Gramian Consultancy. Focusing on engineering leadership and applied machine learning in a remote environment.
Staff AI Engineer
Staff AI Engineer at Sayari developing AI powered solutions for corporate transparency. Lead architecture decisions and mentor engineering teams in a collaborative environment.
Lead Platform AI Engineer
Lead AI Engineer developing reusable AI components for enterprise platforms. Supporting project teams and ensuring high-quality deliveries through effective platform utilization.
Lead AI Platform Product Manager
Lead AI Platform Product Manager at Tribe AI, driving platform adoption to maximize margin and quality across the organization. Collaborate with sales and project teams to ensure successful implementation of AI solutions.
Forward Deployed AI Engineer
Forward Deployed AI Engineer building and deploying AI solutions with enterprise clients. Collaborating on complex issues and implementing scalable AI systems to drive business impact.
Forward Deployed AI Architect
Forward Deployed AI Architect designing complex AI systems in partnership with enterprises. Leading technical discovery and client engagement to achieve significant AI outcomes.
Principal AI Architect
Principal AI Architect at Atlas Technica overseeing AI projects and designs while ensuring compliance and security. Hands-on role focusing on governance frameworks and architecting client solutions.
Principal AI Architect
Principal AI Architect serving as technical anchor in AI Practice at Atlas Technica. Designing secure AI frameworks and overseeing bespoke client builds in the financial services industry.
Lead AI Engineer
Lead AI Engineer at Zeta Global optimizing large language models and driving SFT processes. Engage in developing advanced marketing technology solutions leveraging AI capabilities.
Senior GenAI Engineer, GitHub Copilot, Azure
Engineer operationalizing GitHub Copilot in software development to enhance productivity and quality. Collaborating across teams to ensure secure adoption and continuous improvement.
AI Engineer – L3
AI Engineer at Robots and Pencils supporting the delivery of LLM-powered applications for enterprise clients. Collaborating with senior engineers to implement and evolve intelligent features using modern tooling.
M365/GenAI Engineer
Contract M365/GenAI Engineer designs and supports integrations across Microsoft 365 and enterprise LLM platforms. Requires strong coding skills and hands-on M365 administration.
Senior AI Engineer
Senior AI Engineer at DevSavant designing healthcare-focused AI solutions for startups. Collaborating on AI systems, optimizing conversational agents, and ensuring healthcare compliance.
Senior Staff AI Engineer
Senior Staff AI Engineer at Penn Mutual designing scalable AI solutions. Collaborating with teams to advance AI strategies and maintain performance standards.
Senior AI Architect
Senior IA Architect facilitating adoption of AI platform and mentoring product teams at Ambev Global Tech. Defining multi-agent architectures and ensuring governance standards.
AI Engineer
AI Engineer responsible for designing, developing, and deploying AI models at GDIT. Collaborating with teams to enhance productivity and automate decision-making through innovative AI solutions.
AI Engineer
AI Engineer developing AI-powered operational finance solutions for founders at Martell Ventures. Responsible for delivering a scalable financial product using cutting-edge technology.
Remote ai engineer salary expectations & hiring insights
Looking to build your career in ai engineer?
According to our job data analysis, the average remote ai engineer salary is $182,221 per year, based on insights from over 319 job listings.
These roles span across startups (2–10 employees) to established firms (51–200 employees).
The demand for remote ai engineers continues to grow rapidly, with top companies like BJAK and Point Wild (Formerly Pango Group) offering roles such as LLM Engineer and NLP Engineer.
Salary breakdown by experience
| Experience level | Average salary |
|---|---|
| Junior | $127,295 |
| Mid-level | $118,531 |
| Senior | $183,968 |
| Lead | $367,300 |
Skills hiring teams expect
Hiring managers consistently highlight Python (13.9%) as the must-have skill for remote ai engineer roles. Cloud (8.8%) follows closely, showing how teams blend analytical depth with modern tooling. We parsed live job descriptions to surface the most requested capabilities.
13.9%
8.8%
7.3%
6.5%
6.2%
Companies leading remote hiring
Organizations such as BJAK (50), Point Wild (Formerly Pango Group) (7), Unit4 (6), FusionHit (4), and Agent (4) have published the most openings lately, offering a snapshot of the employers investing in distributed ai engineer talent.
Top regions hiring remotely
🇺🇸 United States accounts for the largest share of distributed ai engineers openings, capturing 70.0% of the listings we track. 🇵🇱 Poland adds another 10.0%, proving that teams are scaling far beyond a single time zone. Use this regional data to target your outreach and tailor availability windows.
28 listings
4 listings
3 listings
3 listings
2 listings
Education trends
Bachelor Degree remains the most frequently cited credential, appearing in 89.5% of verified postings. Postgraduate Degree requirements show up in 9.7% of roles, so highlight comparable experience if your path differs. Mentioning equivalent coursework or certifications helps recruiters validate your background quickly.
89.5% of postings
9.7% of postings
0.8% of postings
Ask our talent partners
FAQs about Ai Engineer
Quick answers we share most often with job seekers exploring ai engineer paths.
Question 1What skills do you need to get a remote AI Engineer job?
You need strong programming skills in Python and experience with machine learning frameworks like PyTorch. Cloud platform knowledge, especially AWS or Azure, is also essential for building and deploying models.
Question 2What qualifications do you need to get a remote AI Engineer job?
Most employers require a bachelor's degree in computer science or a related field. Practical experience through projects that demonstrate your skills with Python, PyTorch, and cloud services is highly valued.
Question 3What are the responsibilities of someone who does a remote AI Engineer job?
A remote AI Engineer designs, builds, and deploys machine learning models to solve business problems. They also maintain these systems and collaborate with distributed teams on data pipelines and infrastructure.
Question 4What are the benefits of a remote AI Engineer job?
This role offers great location flexibility and often leads to a better work-life balance. You also gain exposure to global projects and teams while working from your preferred environment.
Question 5What does a typical day look like for a remote AI Engineer?
A typical day involves writing code in Python, training models with PyTorch, and reviewing experiments. You will also join video calls with your team to sync on progress and deploy updates to the cloud.
Question 6What tools do remote AI Engineer teams commonly use?
Teams frequently use Python, PyTorch, and TensorFlow for model development. They rely on cloud platforms like AWS and Azure for compute resources and Git for version control and collaboration.
Question 7How can you grow your career as a remote AI Engineer professional?
You can grow by mastering new specializations like MLOps and gaining deeper expertise in cloud platforms. Contributing to open-source projects and building a strong professional network also creates new opportunities.
Question 8Why is AI Engineer important in remote-first companies?
AI Engineers build the intelligent systems that automate processes and generate insights for distributed companies. Their work directly improves product capabilities and operational efficiency across remote teams.