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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