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.