Agentic Intelligence Engineer
Senda
2 - 5 years
Ahmedabad
Posted: 29/01/2026
Job Description
At Senda, were 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 dont just answer questions they evaluate trade-offs, adapt to real-world constraints, and take action across investing, taxes, credit, savings, insurance, and more.This isnt fintech-as-usual. Its infrastructure for AI-native finance modular, explainable, and composable from the ground up.
Were 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 Youll 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
Youre 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 Youve
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
Youll 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
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