Artificial Intelligence Engineer

Experience - 3+ The Tech Stack Languages: Python (Custom Stack Development) AI Orchestration: LangChain, LangGraph, Tool Chaining Models: Specialized LLMs & SLMs (Llama 3, Mistral, Phi-3, custom fine-tuned models) Backend: FastAPI, Pydantic, Celery Data: Vector DBs (Pinecone/Milvus), PostgreSQL, Real-time Market Data Feeds Prompting: Advanced System Prompts & Agentic Workflows Key Responsibilities Architecting AI Agents: Design \"Tool Chaining\" systems where AI can autonomously call financial APIs, browse news, and perform technical analysis. Model Optimization: Implement and optimize Small Language Models (SLMs) for high-speed inference in low-latency trading/analysis environments. Custom Python Development: Build the core logic for the Stoxo platform, ensuring the AI stack integrates seamlessly with StockGro’s existing data infrastructure.

System Prompt Engineering: Craft and iterate on complex system prompts to ensure the AI maintains a \"financial expert\" persona with high factual accuracy. Collaborative Delivery: Work closely with the Recro project leads and StockGro stakeholders to hit aggressive product milestones. Required Skills Advanced Python: Deep understanding of asynchronous programming and custom package development.

AI Frameworks: Hands-on experience with LangGraph (or similar state-machine based AI agents) and LlamaIndex . Financial Literacy: A strong grasp of capital markets (Stocks, Options, Technical Analysis) is highly preferred. Engineering Rigor: Experience with MLOps, version control for prompts, and evaluating LLM outputs for \"hallucinations.\"