Design and implement AI solutions that drive business value, working with LLMs, automation systems, and intelligent process optimization.
As an AI Engineer at Mosaiq, you'll be responsible for designing, building, and deploying AI solutions that solve real business problems. You'll work at the intersection of machine learning, software engineering, and business strategy to create intelligent systems that automate processes and enhance decision-making.
This role is ideal for someone who combines strong technical AI/ML skills with business acumen. You'll collaborate closely with our consulting team to understand client needs and translate them into robust, scalable AI solutions that deliver measurable ROI.
8+ AI specialists working on cutting-edge solutions
Python, PyTorch, Transformers, LangChain, AWS, OpenAI
LLMs, automation, process intelligence, computer vision
20% time for research + access to compute resources
Help build AI solutions that actually change how businesses operate.
Apply Now→Every project you work on will directly impact how businesses operate and grow.
Design and implement production-ready LLM applications with proper prompt engineering, safety measures, and performance optimization.
Build intelligent automation workflows that can adapt and improve based on business process feedback and changing requirements.
Train, fine-tune, and deploy custom ML models for specific business use cases and domain-specific problems.
Analyze business processes to identify optimization opportunities and design AI-powered solutions that drive efficiency.
Stay current with AI research and evaluate new technologies for potential business applications and competitive advantage.
Work directly with clients to understand their challenges and deliver AI solutions that exceed expectations and drive ROI.
See what a typical day looks like for our AI engineers.
Review latest AI research papers, experiment with new techniques, and explore emerging technologies in your 20% research time.
Fine-tune LLMs for a client's document processing pipeline, optimizing for accuracy and latency requirements.
Demo AI prototype to stakeholders and gather feedback for the next iteration of the intelligent automation system.
Review team's ML pipeline implementations and mentor junior engineers on best practices for production AI systems.
Design RAG system architecture for a new client's knowledge base, considering scalability and performance requirements.
Share insights from research, plan next sprint goals, and brainstorm solutions for challenging AI problems.
We're seeking a passionate AI engineer who can bridge the gap between research and real-world applications.
We provide everything you need to do your best work and advance your AI career.
$140k-220k base + equity + performance bonuses
20% time for research + unlimited compute resources
$5k annual learning + top-tier AI conferences
H100 GPUs, cloud credits, premium AI platforms
Premium health coverage + $2k wellness stipend
Work on AI projects affecting thousands of businesses
Join us in building AI solutions that actually matter. Send us your resume, portfolio, and tell us about an AI project you're proud of.