We are seeking an AI Developer who is a fast learner and rapid problem solver, capable of quickly understanding new domains, technologies, and business problems, and translating them into high-impact proof-of-concept (PoC) solutions. This role requires the ability to move quickly from idea to working prototypes, validate value early, and then guide successful PoCs into scalable, production-ready AI solutions.
As a member of the Investments Technology group, your work directly supports an $80B portfolio and an organization of 300+ experts committed to excellence, innovation, and the highest ethical standards.
You will be a hands-on developer pairing daily with other engineers and guiding adoption of LLMs, RAG, vector stores, and agentic frameworks. You'll partner closely with product and platform leaders to build AI systems.
You Will
Collaborate with a highly talented and diverse team of professionals
Continuously expand your skill set by learning new technologies, tools, and methodologies
Proactively identify opportunities for innovation, with the autonomy to rapidly explore, prototype, and validate new ideas
Play a key role in the design, development, and deployment of AI/ML solutions
Lead the transition of AI/ML initiatives from proof of concept to scalable, production-ready solutions
Key Responsibilities
Establish and socialize strong AI engineering fundamentals, design patterns, and code quality standards
Participate in projects demonstrating technical expertise and a hands-on approach in experimentation and productization
Partner with product stakeholders to iterate quickly on PoCs, incorporating feedback and refining solutions in short cycles
Qualifications Required
Minimum 10 years of Python development
Minimum 3 years of experience working on AI projects, with a focus on productizing AI/ML solutions
Deep understanding of machine learning fundamentals and ability to apply them in AI/ML solutions
Experience with GenAI technologies and techniques (e.g., RAG, fine-tuning, vector stores, agentic frameworks)
Data-driven decision making with robust analytical thinking and sound business judgment
Excellent communication with both technical and non-technical team members
Comfort with hands-on AI/ML experimentation and model development
Preferred
Solid grasp of software development principles including design patterns, testing, and version control (Git)
Inquisitive nature with deep understanding of both technical and business aspects
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