Agentic Intelligence Engineer

At Senda, we’re building a new kind of financial intelligence — a network of autonomous AI agents that reason, simulate, and act across the entire financial system.

These agents don’t just answer questions — they evaluate trade-offs, adapt to real-world constraints, and take action across investing, taxes, credit, savings, insurance, and more.This isn’t fintech-as-usual. It’s infrastructure for AI-native finance — modular, explainable, and composable from the ground up.

We’re hiring engineers who love quantitative thinking, system design, and algorithmic precision — people who care as much about reasoning and outcomes as they do about clean code and fast iteration.

What You’ll Do

- Build autonomous agents that reason about money and act across domains

- Design modular, testable Python logic for investing, portfolios, credit, insurance, planning

- Orchestrate agent flows using LLMs, vector search, memory, retrieval, and planning tools

- Simulate and evaluate agent performance under real-world scenarios and

behavioral edge cases

- Ship fast, iterate constantly, and work at the pace of a real startup — not an R&D lab

- Collaborate with a small, sharp team of engineers and financial system thinkers

You’re a Fit If You...

- Love quant finance, algorithms, or financial systems design — or just like hard problems and has minimum 4+ years of relevant experience

- Think in systems and trade-offs, not dashboards and buttons

- Can write clean, expressive Python that drives logic, decisions, and interfaces

- Have worked with (or want to learn) LangChain, vector DBs, LangGraph,

HuggingFace, RAG pipelines

- Thrive in high-ownership, low-hierarchy environments where outcome beats polish

- Are excited to work on agents that simulate, plan, and execute — not just generate text

Bonus Points If You’ve

- Built agent-based systems or used orchestration tools (LangGraph, AutoGPT, Devin)

- Modeled financial flows: portfolio optimization, tax harvesting, liability management, retirement forecasting

- Designed or used quant backtesting tools (Backtrader, QuantConnect, etc.)

- Worked in async teams, or shipped real-world products solo or with minimal hand-

holding

Why Senda

- You’ll build actual AI-native financial infrastructure, not chatbot wrappers

- Work across every domain of personal finance — from strategy to execution

- Join a team that works like a startup: fast, deep, autonomous

- Ship high-impact work that reaches real users, fast — with full ownership

- Remote-flexible, async-strong, low-politics, high-trust engineering culture