AI Engineer

About Us We’re launching a brand-new AI initiative at the forefront of wealth and asset management technology — and we’re building the team and infrastructure from the ground up. This is not a maintenance role: you’ll be an early architect of our AI capabilities, defining core systems, frameworks, and best practices as we grow. You will have a direct hand in shaping our technology, engineering culture, and long-term roadmap.  We are assembling a next-generation AI team to design and deploy AI-native systems - from autonomous agents to intelligent decision-making tools - that power our product suite and operational pipelines.  What You’ll Do? Drive New AI Capabilities & Project Launch  • Lead development of next-generation AI agents and autonomous systems essential to our platform.  • Set up the engineering pipeline for model development, experimentation, deployment, and monitoring — from prototyping to production quality.  • Shape standards and documentation for how teams build, train, evaluate, and ship agentic AI solutions.  Build & Scale Engineering Practices  • Work closely with engineering leadership to define and refine architecture, processes, and tools as the team grows.  • Establish CI/CD and ML/Ops workflows that ensure reliability and scalability across services.  • Mentor and collaborate with new team members as the organization expands.  Innovate with Cutting-Edge Models  • Design, train, fine-tune, and integrate advanced LLMs, generative AI systems, and reasoning engines into high-impact use cases.  • Rapidly prototype and iterate using frameworks like PyTorch, Hugging Face, LangChain, etc.  • Solve hard problems around explainability, performance, and data-specific challenges in finance.  Who We’re Looking For? Core Requirements  • 2–5+ years of production-grade experience building or deploying AI/ML systems.  • Expertise in Python and modern AI tooling (PyTorch, Hugging Face, LangChain, MLflow, etc.).  • Proven track record shipping real systems — you balance thinking from first principles with delivering working code.  • Comfortable architecting scalable solutions and driving technical decisions in a fast-moving startup environment.  Nice to Have  • Experience in fintech, investment platforms, or complex data domains.  • Contributions to open-source AI/ML tooling or research.  • Background in reinforcement learning, multi-agent reasoning, NLP, or decision systems.    Why Join  • Build a new project from scratch — you’ll influence not just code but pipeline, practice, and product direction.  • Early team opportunity — join as one of the foundational engineers shaping the AI stack and culture.  • Work with cutting-edge models and emerging agent paradigms in a performance-critical domain.  • Competitive compensation and opportunities for long-term impact and growth.  Apply Now  Be part of something new: build not only systems — but the team that builds them.