Working Hours: U.S. Client Business Hours (with flexibility for sprint planning, deployments, and experimentation cycles)
About the Role
At Pavago, one of our clients is hiring a Full-Stack AI Engineer to design, build, and deploy production-ready AI applications that combine modern software engineering with applied artificial intelligence.
This is a highly technical, hands-on role where you’ll build intelligent products from end to end—integrating Large Language Models (LLMs), machine learning models, vector databases, cloud infrastructure, and modern web applications into scalable production systems.
You’ll collaborate closely with product managers, data scientists, and engineering teams to develop AI-powered solutions that automate workflows, improve user experiences, and create measurable business impact.
If you’re passionate about shipping AI products—not just experimenting with models—this role is built for you.
What You’ll Own
AI Application Development
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Build and deploy AI-powered applications using modern software engineering best practices.
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Integrate LLMs and machine learning models into production environments.
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Develop intelligent features including:
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AI chatbots
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Semantic search
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Document intelligence
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AI copilots
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Workflow automation
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Build scalable APIs that expose AI capabilities to applications.
Maintain ETL workflows for AI inference and training.
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Deploy updates through CI/CD pipelines.
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Monitor production performance and optimize infrastructure.
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Troubleshoot latency, scaling, and model performance issues.
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Collaborate with product and data teams to deliver impactful AI features.
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Document systems and contribute to long-term platform improvements.
In short: You transform cutting-edge AI capabilities into secure, scalable, and reliable production applications that deliver measurable business value.
Key Metrics for Success (KPIs)
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AI-powered features delivered on schedule.
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Application uptime ≥ 99.9%.
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AI inference latency consistently meets performance targets.
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High reliability and scalability of production AI systems.
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Reduced manual workflows through AI automation.
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Stable model performance and monitoring accuracy.
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Strong adoption and engagement of AI-powered features.
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Continuous improvement in infrastructure efficiency and cloud cost optimization.
Why This Role Stands Out
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End-to-end ownership of production AI applications.
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Opportunity to work with modern LLMs, RAG pipelines, and AI infrastructure.
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Exposure to cutting-edge AI engineering, MLOps, and cloud technologies.
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Collaborative engineering culture with significant technical ownership.
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Fully remote role with long-term career growth.
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Clear progression into:
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Senior AI Engineer
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AI Solutions Architect
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Staff Software Engineer
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AI Platform Lead
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Engineering Manager
Interview Process
1.
Application Review
2.
Spark Hire Intro Video (3–5 minutes)
3.
Recruiter Interview
4.
Technical Assessment (e.g., deploy an AI model with API endpoints and front-end integration)
5.
Final Client Interview
6.
Offer & Background Verification
What Happens After You Apply
Right after you apply, you’ll receive an email invitation from Spark Hire to record your Intro Video. This short, self-recorded video is the final step that completes your application and can be recorded whenever it’s convenient for you.
Instead of repeating yourself across multiple screening calls, you’ll introduce yourself once, and your video will be shared with the hiring team. This helps hiring managers evaluate your communication style early, making future interviews more meaningful and reducing unnecessary interview rounds.
Don’t overthink it—you can record your video as many times as you’d like before submitting it. Only your final submission will be reviewed.
Please keep an eye on both your inbox and spam folder for your Spark Hire invitation after submitting your application.
Apply Now
If you’re a Full-Stack AI Engineer who enjoys building intelligent applications, deploying production-grade AI systems, and turning cutting-edge technology into real business solutions, we’d love to hear from you. Apply today and help shape the next generation of AI-powered products.