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 Architect
cognitivo AG
AI Architect designing and developing innovative software architectures for AI agent systems at Cognitivo AG. Focused on enhancing capabilities of large language models and multi-chain processing.
Senior Staff AI Engineer, Enterprise AI
GE HealthCare
Senior Staff AI Engineer developing innovative GenAI and AI solutions for GE HealthCare. Collaborating with cross-functional teams to drive measurable business impact using AI technologies.
Staff AI Engineer – Enterprise AI
GE HealthCare
Staff AI Engineer developing GenAI and Agentic AI solutions at GE HealthCare. Collaborating with cross-functional teams to deliver scalable and innovative AI-driven insights.
Senior Director – AI Engineering, Application Development
GE HealthCare
Senior Director leading AI Engineering and Application Development at GE HealthCare. Driving innovative AI tools for business processes across various functions.
AI Engineer – Clearance Required
LMI
AI Engineer supporting U.S. Army's Holistic Health & Fitness Management System, developing ML models and algorithms for Soldier readiness assessments.
SOAR & AI Lead
Dragonfli Group
SOAR & AI Lead managing cybersecurity solutions at Dragonfli Group for federal agencies. Overseeing development and operationalization of cybersecurity capabilities in a high-impact role.
Co-Founder – Product, Competitive Intelligence AI Platform
IndustryLens
Co-Founder for an AI-driven competitive intelligence platform targeting B2B SaaS companies. Leading product discovery and growth strategies in a remote-friendly, collaborative environment.
AI Architect
SNHU Careers
AI Architect guiding design and implementation of AI-powered solutions at Southern New Hampshire University. Collaborating on AI use cases and supporting digital business models.
Senior AI Engineer
lemlist
Senior AI Engineer designing and implementing cutting-edge AI architecture for lemlist’s Sales Engagement Platform. Collaborating with cross-functional teams to deliver impactful AI solutions and mentor best practices.
Senior Software Engineer – Conversational AI Platform
Century Interactive
Senior Software Engineer developing conversational voice AI solutions for the automotive industry at Century Interactive Company. Leading design, implementation, and deployment of highly scalable AI systems.
Senior Software Engineer – AI Platform, AI Engineering
Red Hat
Senior Software Engineer contributing to Red Hat AI Platforms technologies and solutions. Leading development and participating in open-source community efforts in AI and hybrid cloud.
Senior Software Engineer – Secure Cloud, AI Engineering Systems
BPCS, Comprehensive marketing solutions, ltd.
Senior Software Engineer focused on developing secure, cloud-native AI solutions. Collaborating with an engineering team to innovate CI/CD pipelines and integrate security best practices.
Senior AI Engineer
Paper
Senior AI Engineer designing, developing, and operationalizing AI solutions for Paper's educational support platform. Collaborating across teams to build scalable, effective AI systems.
AI Engineer II
VCU Health
AI Engineer II at VCU Health developing AI solutions to enhance clinical care and operational efficiencies. Collaborate with multi-disciplinary teams on predictive modeling and ML algorithms.
AI Engineer
Onebridge
AI Engineer responsible for developing AI-powered services and collaborating with teams at Onebridge. Leading innovative projects and enhancing systems in AI technologies.
Forward Deployed AI Engineer, Customer Adoption and Innovation
Red Hat
Forward Deployed AI Engineer at Red Hat optimizing AI inference solutions for customers. Leading technical delivery and providing expert advice on OpenShift and Kubernetes platforms.
Software Architect, Data & AI Platform Strategy
Invoca
Software Architect driving technical vision and AI initiatives for Invoca's SaaS platform. Leading teams to optimize data management and architecture with a focus on customer success.
Lead AI Engineer
Globaldev Group
AI Lead Engineer leading design and deployment of AI/ML solutions for Axonlab's medtech eCommerce platform. Collaborating on innovative projects across multiple initiatives.
Applied AI Engineer
Webflow
Applied AI Engineer developing AI-powered applications for Coconut. Responsible for designing, developing, and maintaining AI solutions aligned with business goals.
Senior Director, AI Engineering
SentinelOne
Lead AI Engineering at SentinelOne, shaping AI capabilities for cutting-edge cybersecurity. Drive strategy and execution to protect against tomorrow's threats with innovative solutions.
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.