> Markdown version of [/jobs/ext/2712261-founding-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2712261-founding-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Founding AI Engineer - **Company:** A.I. Driven, Inc. - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Automated Storage and Retrieval Systems, Batch Processing, Cloud Computing, Information Engineering, JSON, Python (Programming Language), PostgreSQL, Open Source Technology, Operational Databases, Chatbots, Large Language Models, Multi-Agent Systems, Backend, Build Tools, Machine Learning Operations - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/rengo-ai-ai-engineer-decircle-8349638 ## About the Role * 3-7+ years in backend, data engineering, or ML systems * Strong Python (mandatory) * Experience building production data systems or analytics platforms, + RAG systems + structured generation (schemas, JSON outputs) + tool use / function calling + agent workflows * Awareness of failure modes in LLM reasoning (critical in finance), + time-series data + event-driven pipelines + analytics / observability systems * Comfort working with imperfect, high-volume financial data, + asset management / hedge funds / fintech + portfolio analytics or risk systems + trading / market data infrastructure * Familiarity with: + exposure/risk models + PnL attribution systems + BI / analytics platforms for finance * Experience with vector databases or hybrid retrieval systems ## Description As a Founding AI Engineer, you will build the core system that powers AI-driven portfolio monitoring for institutional investors. You will design systems that continuously: * ingest portfolio + market + position-level data * detect meaningful changes and anomalies * generate structured investment insights * explain performance and risk drivers in natural language + structured outputs This is a high-reliability AI system, not a chatbot. What You'll Build 1. AI Portfolio Monitoring Engine * Real-time and batch systems that monitor: + portfolio performance (PnL, attribution, drawdowns) + exposure shifts (sector, geography, asset class) + risk signals (volatility, correlation, concentration) + position-level changes * AI layer that converts raw portfolio data into: + alerts + summaries + explanations + actionable insights 2. Change Detection & Intelligence Layer * Build systems that detect: + significant portfolio movements + abnormal price/volume behavior in holdings + drift from target allocations + risk regime changes * Prioritization layer: what matters vs noise 3. AI-Generated Portfolio Narratives * Generate structured outputs such as: + daily / weekly portfolio reports + performance explanations ("why did we lose/gain?") + exposure breakdowns + risk commentary * Ensure outputs are: + auditable + grounded in data + consistent across runs 4. Data + Retrieval Systems for Funds * Integrate: + positions & holdings data + market data feeds + internal fund metadata + external news & filings (optional enrichment layer) * Build RAG pipelines over portfolio + market context 5. LLM Systems for Financial Reliability * Design LLM pipelines that: + avoid hallucinated financial reasoning + produce structured, verifiable outputs + ground insights in actual portfolio data * Build evaluation frameworks for correctness of financial narratives, * You are building the core monitoring brain of a fund * Not dashboards - interpretation + intelligence * Systems you build directly influence investment decisions and risk awareness * High emphasis on: + correctness + traceability + reliability under uncertainty * You own the full stack: data * intelligence * insight delivery Tech Direction * Python (core systems + AI orchestration) * LLM APIs (OpenAI / Anthropic / open-source models) * Postgres + time-series storage * Vector DB for semantic retrieval * Stream/batch processing pipelines * Cloud infrastructure (AWS/GCP) Why Join * Define how AI monitors institutional portfolios * Replace manual analyst workflows with automated intelligence systems * Work on one of the hardest AI problems in finance: turning data into trustworthy interpretation * High ownership, early-stage, no legacy constraints ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)