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AI Agent Developer for Fintech Trading Analytics Platform

Budget: $20.0 - $50.0 HOURLY / FULL_TIME ⭐ 0.00 (0) United States

artificial-intelligence, python, machine-learning, data-science, javascript, data-analysis, api, api-integration, node.js, java

We are looking for an experienced AI Engineer / Agentic AI Developer to build an intelligent AI agent for a fintech trading analytics application. The platform is designed to help traders and investors analyze financial markets, interpret large volumes of market data, identify relevant signals, and receive structured analytical insights through a conversational interface. The AI agent should combine large language models, financial data, quantitative indicators, retrieval systems, and tool-calling workflows to provide grounded, explainable, and context-aware analysis. This is not intended to be a generic chatbot or an autonomous trading bot. The initial focus is on building a reliable analytical assistant that can retrieve data, use approved tools, explain market conditions, summarize research, and support informed decision-making. Core Product Capabilities The AI agent may support: Conversational market analysis Stock, ETF, forex, crypto, or commodity research Technical indicator interpretation Fundamental data analysis News and sentiment analysis Portfolio analytics Watchlist monitoring Market event summaries Earnings and financial report analysis Risk and volatility analysis Comparison of multiple assets Trading signal explanation Custom alerts and analytical workflows Structured investment research reports User-specific analytical preferences and context Key Responsibilities Design the AI agent architecture Implement tool-calling and multi-step agent workflows Integrate financial market data APIs Build Retrieval-Augmented Generation pipelines for financial research and internal knowledge Connect the agent to quantitative analytics and indicator-calculation services Implement structured outputs for reports, comparisons, and market summaries Add source attribution and citations to analytical responses Build memory and user-context management Develop guardrails for unsupported or high-risk financial queries Implement evaluation workflows for accuracy, relevance, and consistency Reduce hallucinations through grounded retrieval and deterministic data tools Integrate the AI agent with the existing frontend and backend Support deployment, monitoring, and performance optimization Document the architecture and implementation Please start your proposal with the phrase “Fintech AI Agent” so we know you reviewed the complete job description. Preferred Technology Stack We are open to recommendations, but the preferred stack may include: Python FastAPI OpenAI API Anthropic Claude API LangGraph LangChain or LlamaIndex PostgreSQL pgvector, Pinecone, Qdrant, or Weaviate Redis Celery, RQ, or another background job system Financial data APIs such as Polygon, Alpaca, Twelve Data, Finnhub, Alpha Vantage, or similar News and sentiment data providers
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