
AI-Financial-Agent-Developer
2 weeks ago
We're seeking an experienced Artificial Intelligence Financial Agent Developer to join our team. As a developer, you'll be responsible for crafting sophisticated AI systems that assist users in tasks such as financial data analysis, market insights, portfolio management, and automated trading strategies.
Your primary focus will be on developing advanced financial agents capable of autonomous workflows, including data analysis, market research, and executing financial strategies based on real-time insights. You'll also work on enabling AI agents to make independent, data-driven recommendations in areas such as portfolio management, market forecasts, and risk assessment.
Key Responsibilities:
- Develop complex reasoning and analysis capabilities to understand market trends, analyze historical data, and identify opportunities across diverse financial instruments.
- Integrate the financial agents into automated workflows that execute trading strategies, analyze investment portfolios, and adjust financial positions based on predefined rules and real-time data.
- Implement text-to-action capabilities, enabling the financial agent to respond to natural language commands and take appropriate financial actions, from executing trades to generating reports.
- Collaborate with cross-functional teams to ensure that the financial agents align with the overall product strategy and address user needs in real-time.
- Stay up-to-date with the latest in AI, LLM, and financial technologies to continually innovate and enhance the capabilities of the AI financial agent.
Qualifications:
- Proven experience in building AI-driven financial agents or systems that automate financial workflows, data analysis, or strategy execution.
- Strong knowledge of machine learning, deep learning, LLM, and NLP principles, with a focus on financial applications.
- Expertise in integrating financial data APIs and external services to support autonomous financial decision-making.
- Strong coding skills, primarily in Python, with hands-on experience in developing autonomous agents using frameworks such as Langgraph, Auto-gen, or similar.
- Analytical and problem-solving skills, with a deep understanding of financial markets and products.
- Strong communication skills to explain complex technical concepts clearly.
- Familiarity with cloud services (e.g., AWS), knowledge graphs, and DevOps is an advantage.
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