Senior Conversational AI Engineer

Farther is a rapidly growing RIA that combines expert advisors with cutting-edge technology - delivering a comprehensive, tailored wealth management experience.

Farther’s founders are leaders and innovators from the private wealth industry who possess a unique blend of traditional wealth management, fintech, and technology production expertise. We’re backed by top-tier venture capital firms, fintech investors, and industry leaders.

Joining Farther means joining a collaborative team of entrepreneurs who are passionate about helping their clients and our teammates achieve more. If you’re the type who breaks through walls to get things done the right way, we want to build the future of wealth management with you.

You'll architect the conversational AI systems, transforming how clients and advisors interact with our platform. We're moving from traditional web interfaces to intelligent, agentic experiences – think LinkedIn's AI service agent model where chatbots handle real financial transactions end-to-end. We want builders who ship production AI, not researchers. You'll have real autonomy, make architectural decisions, and own outcomes. We operate differently – you're measured by results, not process.

• Own conversational AI features end-to-end, from requirements through production deployment
• Architect chatbot systems using LLMs, RAG pipelines, and agentic workflows
• Build with professional engineering standards – testing, observability, reliability, redundancy
• Develop guardrails and authorization boundaries for AI agents handling sensitive financial data
• Jump into difficult problems with tenacity – production issues, complex prompt engineering, unfamiliar model behaviors
• Collaborate directly with product, data engineering, and business stakeholders

• 5+ years software engineering experience with backend focus
• Experience building conversational AI or chatbot applications in production
• Strong Python and SQL skills – this is fundamentally a Python engineering role
• Hands-on experience with LLMs, prompt engineering, RAG patterns, and agent frameworks
• Professional delivery experience at Fortune 500 or equivalent enterprise environment
• Self-directed and autonomous – you thrive with ownership and prefer results over rigid process
• Product-focused mindset – AI exists to solve business problems!

• Financial services or trading systems background
• MLOps and production ML deployment experience
• LLM evaluation frameworks and human-in-the-loop systems
• Multi-step agent workflows and streaming interfaces