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Financial AI Architect
3 weeks ago
Overview:
We seek an exceptional candidate to develop and deploy innovative AI-powered financial solutions in Cloud environments. This role is ideal for a detail-oriented individual with a passion for learning and adapting to emerging technologies.
Roles and Responsibilities:
- Design, develop, test, and maintain software components and machine learning pipelines
- Implement core components including memory, routing, cache, feedback, and chains to enable in-house AI agents
- Collaborate cross-functionally with business, front-end, back-end, and data teams
- Buide sophisticated multi-agent AI workflows for automated investment analysis using LangChain/LangGraph
- Develop prompt engineering techniques for various LLM providers, including Anthropic Claude, Google Gemini, and Open AI
- Build scalable systems that can handle large-scale document processing during due diligence using Backend/FastAPI
- Develop FastAPI applications that serve AI-powered insights to investment teams
- Implement secure authentication and data access controls for sensitive financial information
- Experience in Redis for caching and coordination
- Nice to have: Familiarity with Pinecone vector search and Neo4j Knowledge Graph database
Requirements:
- Bachelor's degree in computer science, Engineering, or above
- Strong programming fundamentals in Python
- 2-5 years of professional experience in software engineering or equivalent internship/coursework/projects involving data analysis, machine learning, or software development
- Genuine curiosity about AI technology and its applications in finance
- Strong critical thinking and problem-solving skills
- Eagerness to learn new technologies and adapt to rapidly evolving tools
- Excellent communication skills for collaborating with investment professionals
- Detail-oriented approach to handling sensitive financial data
Key Skills:
- Python
- FastAPI
- Redis
- Pinecone
- Neo4j
- LangChain
- LLM
Education:
- BTech/MTech/BE/ME/MBA in Analytics