Senior AI Engineer, VP

AI Engineer / Data Engineer (AI Applications & Investment Systems) Location & Work Environment Strong preference foronsite collaboration (4–5 days/week initially) Flexible hybrid approach over time, butnot a minimal in-office model Culture built ontrust, ownership, and autonomy— no rigid policies Emphasis on: Collaboration Knowledge sharing High-impact problem solving About the Role We are building anext-generation data and AI platformto transform how complex business and investment decisions are made. This role focuses onreimagining traditional workflows using AI , replacing legacy processes built on spreadsheets, slide decks, and manual analysis withintelligent, automated systems . You will play a critical role in: DesigningAI-powered workflows Buildingagent-based systems Enabling teams to leveragelarge-scale, fragmented datasets Deliveringproduction-grade AI applications What You’ll Do Design and buildAI-powered systemsto automate and enhance workflows Develop and deployLLM-based applications and agent frameworks Translate complex business processes intoscalable AI-driven solutions Build and maintaindata pipelines and infrastructure Integrate data across systems (cloud platforms, data warehouses, APIs) Identify repetitive workflows and implementautomation at scale Partner with cross-functional stakeholders to drive adoption and impact Deliverproduction-ready solutions , not just prototypes What We’re Looking For Experience 5–8 years of experience(flexible for strong candidates) Strong foundation insoftware engineering Recent experience working withGenerative AI / LLM applications Technical Skills Proficiency inPython Experience withcloud infrastructure (AWS preferred) Strong understanding of: System design Distributed systems Data architecture Experience buildingproduction-grade AI systems AI / LLM Expertise Hands-on experience with: RAG (Retrieval-Augmented Generation) Agent-based systems LLM application design and orchestration Ability to: Choose appropriate models (OpenAI, Anthropic, etc.) Design efficient, scalable AI architectures Evaluate tradeoffs (cost, latency, performance) Data & Technology Stack Cloud:AWS Data:Snowflake , modern ELT tools (e.g., Fivetran) AI tools:LLMs (e.g., Claude, ChatGPT) CRM & business systems integrations Extensive use ofAI-assisted development tools You will work with a wide range of data sources, including: Internal operational data Third-party datasets and research Market and alternative data (e.g., web, labor, and behavioral signals) Ideal Candidate Profile Strongbuilder mindsetwith experience in fast-paced environments Background instartups, product teams, or platform engineering Deep understanding of both: Engineering fundamentals Practical AI application design Strongproduct intuition— understands how to apply AI to real problems Comfortable makingindependent decisions in ambiguous environments Soft Skills Entrepreneurial and self-driven Strong communicator across technical and non-technical audiences Comfortable working with senior stakeholders Able to operate withhigh autonomy and minimal oversight Curious, pragmatic, and execution-focused ⏰ Working Style Flexible hours; not a strict 9–5 role Must be comfortable collaborating across time zones Occasional flexibility required for high-priority needs Compensation & Benefits Highly competitive total cash compensation ( performance-driven bonus included ) Comprehensive benefits package: Medical, dental, and vision coverage Wellness benefits Retirement plan (401k) Generous PTO ⚡ Interview Process Streamlined, fast-moving process Focus on: Systems thinking Practical problem-solving AI application design No coding tests — emphasis on real-world approach and decision-making Why This Role? Opportunity totransform how complex workflows are done using AI Work onhigh-impact, real-world AI applications Operate in ahigh-autonomy, builder-focused environment Be part of a small, elite team driving meaningful innovation