About this role
About the Role Our client, a growing FinTech company, are hiring an AI Engineer to join their team in Colorado. The successful candidate will architect, develop and scale enterprise-grade multi-agent AI systems, taking ownership of complex solutions from initial design through to production deployment to shape the future of agentic AI within the financial services industry. What You'll Do
- Design and develop production-ready multi-agent AI systems using modern agent frameworks and architectures.
- Build intelligent AI workflows that integrate retrieval, reasoning, tool execution, validation and compliance controls.
- Develop scalable distributed services to support reliable agent execution, monitoring and fault tolerance.
- Create evaluation frameworks to assess reasoning performance, accuracy, groundedness, hallucination mitigation and financial correctness.
- Implement robust memory management, context handling and agent state persistence solutions.
- Collaborate with Product, Design and Engineering teams to translate business requirements into scalable AI solutions.
- Optimise AI systems for performance, latency, scalability, reliability and cost efficiency.
- Shape architectural decisions across model serving, vector databases, orchestration platforms, caching strategies and cloud infrastructure. What We're Looking For
- At least 6 years’ experience in Machine Learning, including 3 years building and deploying Generative AI and LLM-powered applications in production environments.
- Demonstrated experience designing, developing, and deploying multi-agent AI systems.
- Deep expertise across multimodal LLMs, agent frameworks, knowledge graphs, reinforcement learning, model fine-tuning, agent memory and data synthesis techniques.
- Advanced Python programming skills with strong experience using modern AI and machine learning frameworks.
- Proven experience building distributed systems and deploying cloud-native applications across AWS, GCP or Azure.
- Experience developing monitoring, evaluation, and reliability frameworks to ensure the performance and safety of AI systems.
- Strong architectural and systems-thinking capabilities, with the ability to design scalable, multi-component AI platforms.
- Experience working in high-growth, fast-paced, or early-stage startup environments is highly desirable. Compensation & Benefits
- Salary: $200k – $275k
- Comprehensive benefits package.