Job Specifications
ALPHA10X is the AI leader in private markets investments. Our platform analyzes data at scale to shape the knowledge and foresight that generate alpha and impact. The company is a well-funded growth stage startup and aspiring unicorn, rapidly expanding our revenue, customer base, and market presence, while scaling operations, enhancing products, and securing additional funding to further accelerate development. Our team includes prominent business leaders, investors, scholars, and data scientists.
ALPHA10X is hiring a Staff AI Engineer to lead the design and delivery of production-grade AI systems at the intersection of predictive modeling, LLMs, and agentic frameworks. Reporting to the CTO, you will be the technical leader of a strong team of AI engineers and collaborate closely with product, data, and software teams. Your mission: ensure our AI stack is robust, scalable, and fully integrated into the ALPHA10X platform. You'll lead efforts in predictive data science, MLOps, and advanced LLM development--including agent-based architectures and multi-agent orchestration.
Key Responsibilities:
AI System Design & Delivery: Lead the development of robust, scalable, and production-ready AI systems, including LLM-based components and predictive models.
Agentic Frameworks: Architect and implement agent-based and multi-agent systems to power intelligent workflows and reasoning engines within the platform.
LLM Engineering: Oversee and contribute to fine-tuning, prompt engineering, evaluation, and deployment of large language models tailored to domain-specific tasks.
MLOps & Reliability: Implement end-to-end pipelines for model training, validation, deployment, monitoring, and continuous improvement across environments.
Cross-functional Leadership: Collaborate with Data, Software, and Product teams to ensure seamless integration of AI capabilities into the platform.
Team Growth & Mentorship: Mentor and lead technically a high-performing AI engineering team of 5 PhDs and engineers. Foster a culture of technical excellence, ownership, and fast-paced experimentation.
What We Value:
Initiative and curiosity.
Low ego because the outcome matters more than who gets the credit.
Adaptive and introspective; willing to learn, guide, lead, and follow.
Unrelenting drive to push the boundaries of AI and data science.
What we are looking for:
Hard Skills
5+ years in AI engineering, including hands-on work with production-grade predictive ML models and LLM systems
Multi-agent architecture: Experience with prompt evaluation, LLM fine-tuning, retrieval-augmented generation (RAG), and controllers-executors architecture
Expert in Python and PyTorch; proficient with LangGraph and agentic frameworks
Strong grasp of MLOps best practices: CI/CD, model versioning, monitoring, and retraining
Familiarity with Knowledge Graphs & Reasoning for the integration of structured knowledge (e.g., Neo4j, RDF, graph-based reasoning) with LLMs
Familiarity with Databricks and cloud platforms
Soft skills
Proven experience leading small technical teams and mentoring engineers
Strong communication and problem-solving skills
Experience in startups or fast-paced environments
Why Join Us?
Innovation: Play a key role in advancing the capabilities of AI in fintech, working with some of the brightest minds in the industry.
Leadership: As part of the future shaping team, you will have a direct impact on the company's growth and strategic direction.
Growth Opportunities: Join a fast-paced, high-growth startup with significant equity participation and potential for personal and professional advancement.
Global Impact: Be part of a team that connects people, capital, and ideas to solve some of the world's greatest challenges through AI-driven financial solutions.
About the Company
Innovating efficiency in the private markets.
ALPHA10X is a global leader in AI-driven predictive intelligence, revolutionising private markets by delivering actionable, real-time insights to investors, advisors and corporate decision-makers. Founded in 2018, the company harnesses cutting-edge artificial intelligence and machine learning technologies to demystify the complexities of private markets, providing stakeholders with precise, data-driven intelligence to make informed investment and strategic decisions.
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