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SWE / AI Engineer

AlldusBoulder, CO

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.

Responsibilities

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Design and develop production-ready multi-agent AI systems using modern agent frameworks and architectures.

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Build intelligent AI workflows that integrate retrieval, reasoning, tool execution, validation and compliance controls.

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Develop scalable distributed services to support reliable agent execution, monitoring and fault tolerance.

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Create evaluation frameworks to assess reasoning performance, accuracy, groundedness, hallucination mitigation and financial correctness.

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Implement robust memory management, context handling and agent state persistence solutions.

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Collaborate with Product, Design and Engineering teams to translate business requirements into scalable AI solutions.

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Optimise AI systems for performance, latency, scalability, reliability and cost efficiency.

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Shape architectural decisions across model serving, vector databases, orchestration platforms, caching strategies and cloud infrastructure.

Skillset

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At least 6 years’ experience in Machine Learning, including 3 years building and deploying Generative AI and LLM-powered applications in production environments.

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Demonstrated experience designing, developing, and deploying multi-agent AI systems.

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Deep expertise across multimodal LLMs, agent frameworks, knowledge graphs, reinforcement learning, model fine-tuning, agent memory and data synthesis techniques.

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Advanced Python programming skills with strong experience using modern AI and machine learning frameworks.

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Proven experience building distributed systems and deploying cloud-native applications across AWS, GCP or Azure.

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Experience developing monitoring, evaluation, and reliability frameworks to ensure the performance and safety of AI systems.

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Strong architectural and systems-thinking capabilities, with the ability to design scalable, multi-component AI platforms.

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Experience working in high-growth, fast-paced, or early-stage startup environments is highly desirable.

Benefits

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Salary: $200k – $275k

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Comprehensive benefits package.

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