Artificial Intelligence Engineer
Recro
2 - 5 years
Bengaluru
Posted: 27/04/2026
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Job Description
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 StockGros 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."
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