Senior Agentic Engineer

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

As an Agentic Engineer at Farther, you will build agentic solutions that change how our business runs. You will work with Farther's proprietary data model and our many vendor integrations to design, ship and run AI agents that take on real operational work in a regulated wealth management environment.

This is not a build-it-and-hand-it-off role. You will sit with operations teams, advisors and other business partners to understand how they actually work. You will find the few features that decide whether a tool gets adopted, and you will turn them into scalable, well-built systems. Then you will own the rollout: monitoring, integrations, user training and ongoing iteration until the solution is a trusted part of how Farther works.

You need both sound engineering and architectural judgment and real business judgment: knowing what to build, what to leave out, and what "done" means to the people using it.

Your Impact

Partner directly with business stakeholders to find high-value workflows and turn their needs into clear, prioritized agentic solutions

Design and build production agents that reason over and act on Farther's data model and vendor integrations (custodians, CRM, planning and other third-party systems)

Make architectural decisions that favor scalable, strategic solutions over one-off fixes, using strong software engineering practices (testing, code review, CI/CD, infrastructure as code)

Build and maintain the integrations that connect agents to internal services and external vendor platforms

Own production readiness: set up monitoring, alerting, logging and evaluation so agent behavior is observable, reliable and safe

Lead complex rollouts to business-facing users

Train and support users so they can confidently use agentic tools in their daily work

Track adoption and business impact, and feed what you learn from real usage back into the product roadmap

Set guardrails and access controls suited to a regulated financial environment

The Ideal Match

5+ years of professional Software engineering experience using Python, SQL, HTTP, AWS

A track record of designing systems that scale

Hands-on experience with AI coding tools such as Claude Code, and a workflow built around using them effectively

Professional experience building AI Agents, (Claude Managed Agents or Anthropic Claude Agent SDK preferred)

Deep understanding of cloud and serverless architectures (AWS Bedrock AgentCore preferred). Alternates include GCP, Vertex AI Agent Builder, Azure AI Foundry and LangGraph Cloud / Crew AI

Experience supporting Operations functions and teams

A strong ownership mindset: you care about adoption and outcomes, not just shipping code

Strong business judgment: you can separate the must-have features from the nice-to-haves and explain the tradeoffs clearly

Experience working one-on-one with demanding users and turning their feedback into product decisions

A history of carrying complex, business-facing applications through rollout, not just building them

Excellent communication skills with both technical and non-technical audiences

Technical Stack

AWS (Lambda, ECS, S3, Step Functions, EventBridge, API Gateway, CloudWatch)

Python

Infrastructure as code (AWS CDK)

AI coding tools, MCPs, LLM APIs and agent frameworks

REST APIs and event-driven architectures

Observability tooling

Bonus Points

Wealth management, financial services or capital markets background

Experience with custodial or vendor financial data

Experience building production AI agents

Experience with the Model Context Protocol (MCP) or building tool integrations for LLMs

Familiarity with compliance, auditability and access control requirements in regulated environments

Experience working with a data knowledge graphs

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!