Leverage cutting-edge LLMs to build reliable systems of multi-AI agent workflows in companies
Lead the end-to-end lifecycle of AI solution delivery, from initial customer needs assessment to successful deployment and ongoing support.
Write Python applications that will deliver on project requirements documents, ensuring all deliverables are met on time and within budget.
Partner with customers to identify and re-engineer business processes for optimization through AI integration, leveraging Qurrent’s advanced Operating System.
Utilize your expertise in AI tools and Large Language Models (LLMs) to create and develop bespoke AI solutions as part of Qurrent’s engineering team.
Develop and present demos for presales meetings to effectively communicate the potential of Qurrent’s solutions.
Convey customer insights, driving continuous improvement of Qurrent’s Operating System.
You’ll also have the exciting opportunity to:
Shape the future of AI Solutions at Qurrent: As a key member of the team, you’ll play a crucial role in defining how we deliver AI solutions, with opportunities to grow into leadership roles.
Own a significant equity stake in a high-growth startup: Join us at the forefront of the AI revolution and share in the potential rewards of our success.
Continuously learn and grow: Immerse yourself in a culture of innovation, surrounded by brilliant minds and cutting-edge technology.
3+ years of experience in building complex technical projects in Python, preferably within the AI or related technology sectors.
Technical and conversational fluency in AI, LLMs, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)
Strong understanding of AI concepts, particularly in the use of Large Language Models (LLMs) and other AI techniques including RAG, agentic workflows, fine tuning, or other LLM-based tools.
Proficiency in process mapping and process re-engineering, with a passion for optimizing and re-imagining workflows.
Proficiency in full-stack software development, and/or willingness to learn new technologies and frameworks
Experience putting ML/AI into production, and ability to talk through best practices and pitfalls.
Experience in creating effective demos and presentations for pre-sales engagements.
Demonstrated track record of delivering projects that exceed customer expectations.
Strong analytical and problem-solving skills, with a proactive and results-oriented approach.
Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders.
Experience working with bespoke AI solutions or custom technology implementations.
Familiarity with customer research methodologies and a passion for understanding user needs.
The opportunity to be at the forefront of the AI revolution, shaping how businesses transform through this powerful technology.
A dynamic and collaborative work environment where your contributions have a direct impact.
A competitive compensation package with significant equity upside.
The chance to work on challenging and rewarding projects with a talented and passionate team.
Continuous learning and development opportunities in a supportive environment.
For over two decades, Tony has been driven by a vision to transform businesses through the power of technology. A seasoned leader with a deep understanding of data, product, and AI, Tony has consistently
sought out opportunities to apply emerging technologies to solve complex, real-world problems. Prior to joining Qurrent, as the Global Managing Director of AI at Slalom, he spearheaded the development
of the company’s global AI practice, building and leading high-performing professional services teams that delivered impactful AI solutions to enterprise clients worldwide. As SVP of Customer & GTM at Qurrent, Tony continues to champion the transformative potential of AI, empowering businesses to thrive in an increasingly competitive landscape.
August has been building with AI since 2020, working with large language models and training image models from the ground up. While in college, he founded Mirage Gallery, one of the first generative AI-native art platforms, which gained widespread recognition and a thriving collector base. A lifelong entrepreneur with a Mechanical Engineering degree from Santa Clara University, he filed his first patent in high school and has always focused on real-world applications of emerging technology. As the CTO and Co-Founder at Qurrent, he leads all engineering and technology development, driving innovation in AI-driven automation systems.
Colin is a seasoned entrepreneur who has been working deeply with AI since the 1990’s. Colin’s previous ventures include Mynd, a tech-enabled platform for single-family rental investments named the fastest growing Bay Area company in 2020, and Waypoint Homes, which raised over $3.5 billion and managed 17,000 homes before going public on the NYSE in 2014. Recognized for his innovations in AI, Colin holds multiple patents, earned a spot on Goldman Sachs’ Top 100 Most Innovative Entrepreneurs, and was named Ernst & Young Entrepreneur of the Year.
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