Senior Conversational AI Engineer
Summary
Senior engineer at Farther, a tech-driven wealth management RIA, who owns conversational AI features end-to-end — architecting LLM chatbot systems with RAG pipelines and agentic workflows that let clients and advisors complete real financial transactions, with Python and SQL as the core stack.
Company Description
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.
The Role
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.
Your Impact
- 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
The Ideal Match
- 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!
Bonus Points
- 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
Why Join Us
- Learn & grow through book clubs, seminars, and peer learning sessions
- Competitive comp package that rewards impact
- Work alongside some of the brightest minds in fintech
- Ground-floor opportunity at a fast-scaling startup
- Chart your own growth path as we expand
- Full health benefits + 401(k) matching & Roth IRA options
- Unlimited PTO
- An amazing collaborative atmosphere between product, design, and engineering to solve hard problems together
🚀 Ready to disrupt wealth management? Let's talk!
Skills
As published by greenhouse · 10 questions · 3 written answers
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter
Short answers (4)
- Where are you currently located?
- What are your compensation expectations, base salary and total annual take home ranges?
- Website optional
- How did you hear about Farther? optional
Pick from a list (3)
- Are you able to commit to a hybrid in office schedule in New York City?
- Do you have AI project, feature experience or agent / chatbot experience, [agentic, conversational AI etc]?
- Do you now, or will you in the future, require Work Authorization sponsorship by an employer to obtain or maintain work authorization?
Written answers (3)
- Please list your top 3-5 programming languages, and rank expertise in these technologies as applicable: Python, SQL, TypeScript, Scala, React, RAG, Next.js, Redux Toolkit, RTK Query, Express, Lambda, AWS Cloud
- If yes to the previous AI question please give a short 1 line description of projects and if they shipped and are in production.
- LinkedIn Profile optional