Job Opportunities API

Why We Stand Out Seeking a new challenge where your professional and personal aspirations are not only possible but supported? Kaufman Rossin might be just the place for you!  Kaufman Rossin Professional Services Private Limited’s (the “Company”) offices are located in the World Trade Center (WTC) in Bangalore, Karnataka, India, and at Udyog Vihar, in Gurgaon, Haryana, India.  The Bangalore office provides a range of services, including risk management, corporate governance, tax, assurance, and family office services. Out of the Gurgaon office, we render highly specialized back-office alternative investment services for global hedge funds and related fund types. As one of the top accounting firms in the US, our foundation is “people first”. In the words of James Kaufman, one of our founders, “We prioritize our people, their development, and their well-being. Our values are translated into action every day."  Kaufman Rossin, headquartered in Miami, Florida has been celebrated as the Best Place to Work in South Florida more than a dozen time. The firm has grown to over 700 employees, with offices spanning the tri-county area and, sister entities, Kaufman Rossin Wealth and Kaufman Rossin Alternative Investment Services.  The Firm is ranked 49th among the top 100 firms in the US by Inside Public Accounting 2023. Internationally, the Firm has offices in Bangalore and Haryana in India and the Ivory Coast in Africa Think you have what it takes? The AI Solutions Engineer joins the Innovation team to build and ship AI-powered tools across internal and client-facing work. Working from functional requirements, this person architects solutions from first principles, then builds, deploys, and iterates on them end-to-end — owning delivery in a production-ready, enterprise-ready way rather than stopping at prototypes. The role is deliberately platform-agnostic. We care more about reasoning about cloud and AI services from fundamentals than about memorized vendor specifics, and about the ability to pick up whatever a task needs — cloud platforms, LLM APIs, agents, integrations, and workflow tooling (Claude Code, MCP servers, Azure, and more). A strong candidate uses a modern AI-assisted development workflow to move fast without sacrificing correctness, writes good tests, and treats reliability and deployment as first-class from day one. This is a growth-oriented hire on a small, fast-moving team. Early on, the engineer wears many hats across the tool portfolio; over time, and as the team expands, they grow into a focused specialty and toward greater architecture ownership (including Azure/Entra identity design), supported by team SOPs and hands-on mentorship. We are optimizing for trajectory and self-directed learning over years on paper — someone who owns what they build, scopes ambiguity instead of waiting for a spec, and reasons from first principles Requirements How You’ll Contribute: Translate functional requirements (internal or client-facing) into working systems — architecting from first principles, then building, deploying, and iterating end-to-end. Work cloud- and tool-agnostic, reasoning from fundamentals across a multi-cloud setup; pick up whatever a task needs (cloud, AI tooling, integrations, agents, workflow tools like Claude Code, MCP, Azure), including automating documentation and admin overhead. Own production-ready delivery — deployments and iterations, not prototypes. Wear many hats early on a small team, then grow into a focused specialty as it expands.   What Skills You’ll Bring: Minimum experience: 1+ years (trajectory prioritized over tenure) Strong Python (backend + front-end-adjacent) with demonstrated end-to-end ownership, not just contribution Serverless and cloud services understood from first principles; platform-agnostic Hands-on with LLM APIs: multiple models, agents, tool/function calls, matching model to task Comfort wit