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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

• 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.

Skillset

• 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.

Benefits

• Salary: $200k - $275k

• Comprehensive benefits package.

Our client, a growing FinTech company, are hiring a Staff Machine Learning Engineer to join their team in Colorado. The successful candidate will play a key role in designing and building production-grade, multi-agent AI systems that power advisor copilots, investment intelligence, workflow automation and autonomous research.


Responsibilities

• Design, develop and deploy production-grade multi-agent AI systems using modern agent frameworks and large language models (LLMs).

• Build intelligent AI workflows that combine context retrieval, reasoning, tool execution, validation and compliance controls.

• Develop scalable distributed services for agent orchestration, with a focus on observability, monitoring, resilience and fault tolerance.

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

• Implement scalable approaches to memory management, context handling and persistent agent state.

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

• Continuously optimize AI systems for performance, latency, reliability, scalability and cost efficiency.

• Influence the design and evolution of AI infrastructure, including model serving, orchestration, vector databases, caching and cloud-native architecture.

Skillset

• At least 6 years of experience in Machine Learning, including 2-3 years building and deploying Generative AI or LLM-powered applications in production environments.

• Proven experience designing, developing and implementing production-ready multi-agent AI systems.

• Strong expertise in multimodal LLMs, agent frameworks, knowledge graphs, reinforcement learning, model fine-tuning, agent memory and synthetic data generation.

• Advanced Python programming skills with hands-on experience using modern AI and machine learning frameworks.

• Experience building distributed systems and deploying cloud-native applications across AWS, Azure or Google Cloud Platform (GCP).

• Strong understanding of AI system monitoring, evaluation frameworks, reliability engineering and model performance optimization.

• Demonstrated ability to design scalable, enterprise-grade AI architectures that integrate multiple models, services, and workflows.

• Previous experience working in a fast-paced startup or scale-up environment is highly desirable.

Benefits

• Salary: $200k - $275k

• Comprehensive benefits package.

Our client, an AI-driven customer engagement organization, is hiring a Founding Product Engineer to join their team in New York. The successful candidate will work closely with the founders, engineering, design and commercial teams to shape product strategy, drive roadmap development, enhance the customer experience and help define an entirely new product category.


Responsibilities

• Develop and deliver product strategy, roadmap planning and feature prioritization.

• Engage with customers to understand their challenges, gather feedback and uncover new opportunities.

• Partner with engineering and design teams to deliver innovative, high-quality product features.

• Lead the end-to-end product lifecycle, from discovery and validation through to launch, optimization and continuous improvement.

• Turn customer insights, market trends and business needs into impactful product decisions.

• Maintain a strong focus on user experience, ensuring every release meets high standards of quality and usability.

• Foster collaboration across cross-functional teams to keep projects aligned and move forward efficiently.

• Monitor product performance using data, customer feedback and key metrics to guide future enhancements.

• Utilize AI tools to accelerate product research, prototyping and development workflows.

• Contribute to the long-term product vision while supporting the company's continued growth and innovation.

Skillset

• At least 5 years' experience in Product Management, Software Engineering or a founding role within a technology company.

• Proven ability to take products from early concept through to successful market launch and customer adoption.

• Customer-focused approach with experience conducting user research and turning insights into impactful product improvements.

• Experience collaborating closely with engineering teams in agile software development environments.

• Strong analytical and problem-solving skills, with the ability to make informed, data-driven product decisions.

• Solid understanding of SaaS products, platform development and product strategy.

• Hands-on experience using AI tools, with a strong understanding of the rapidly evolving AI landscape.

• Excellent communication, collaboration and stakeholder management skills.

• Previous startup or founding team experience is a bonus.

Benefits

• Salary: $150k - $190k.

• Equity.

• Comprehensive benefits package.