AI for Wealth
Staff AI Engineer
Location
Colorado + 1 moreAll locations: Colorado, North Carolina
Posted
13 days ago
Salary
$190K - $225K / year
Job Description
Job Requirements
- 3+ years of experience building and shipping Generative AI and LLM applications into production
- 6+ years of ML experience
- Demonstrated experience designing and deploying multi-agent systems of various architecture
- Strong experience with multimodal LLMs, knowledge graph, data synthesis, LLM fine tuning, reinforcement learning, agent harness, agent memory
- Deep proficiency in Python and modern AI frameworks
- Experience with distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerized deployments
- Experience implementing monitoring, evaluation, and reliability safeguards for AI systems
- Strong systems thinking — ability to design beyond single-model solutions toward coordinated, multi-component architectures
- Resilience and adaptability - experience working at early-stage startups is a plus
Benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Flexible PTO
- Meaningful equity stake in overall package
Related Guides
Related Job Pages
More AI Engineer Jobs
Senior Applied AI/ML Scientist
Sprout SocialSprout Social is a global leader in social media management and analytics software. Sprout’s award-winning platform offers intuitive and comprehensive social media management solutions, including publishing and engagement functionality, customer care, influencer marketing, advocacy, and AI-powered, predictive business intelligence. Founded in 2010 and headquartered in Chicago, Sprout has a hybrid team of 1400 people across the globe with offices in Seattle, Dublin and Poland. Sprout Social is consistently recognized as a best place to work with recent accolades from Fortune, Glassdoor, Built In and more.
The role involves leading the design, development, and deployment of customer-centric features utilizing data science, machine learning, and generative AI technologies to achieve measurable business impact. This includes developing robust evaluation frameworks and collaborating closely with product, design, and engineering partners to deliver high-quality AI solutions.
The Staff AI Engineer will be responsible for architecting, building, and operationalizing production-grade multi-agent systems at scale to power advisor copilots and investment intelligence workflows. Key tasks involve designing and implementing these systems using modern agent frameworks, developing distributed services with strong observability, and establishing evaluation frameworks for accuracy and reliability.
Senior AI / MLOps Engineer at IMO Health operationalizing AI models for clinical data processing
Staff AI Engineer leading ML lifecycle for clinical AI solutions
