GenAI Engineer

Company Overview

Details about the company, its industry, and culture are not specified.

Job Summary

As a GenAI Engineer, you will be responsible for designing, building, and deploying AI pipelines that train and run our internal trading-focused agents. Your work will directly power our system to react to real-world events in real time, ensuring responsive and efficient trading operations.

Responsibilities

• Build and maintain AI pipelines for data ingestion, training, and event-based triggering.
• Implement LLM (Large Language Model) integrations and RAG (Retrieval-Augmented Generation) workflows.
• Design and optimize prompt engineering strategies for trading AI agents.
• Manage Vector Databases for efficient document retrieval and context storage.
• Build and secure APIs for internal and external integrations.
• Write clean, production-ready Python code to orchestrate AI workflows.
• Leverage cloud services (AWS/Azure/GCP) for deployment and scaling.
• Handle basic system design to ensure robust, maintainable architecture.
• Use various AI tools and frameworks to automate tasks and optimize development.
• Collaborate with a small team to deliver end-to-end features independently.

Qualifications

• Strong hands-on experience with Python for AI/ML development.
• Understanding of LLM usage, customization, and deployment.
• Knowledge of RAG architectures and practical implementation.
• Familiarity with Vector Databases (Pinecone, FAISS, Chroma, Weaviate, etc.).
• Experience with prompt engineering to deliver reliable, high-quality AI outputs.
• Proficiency with Hugging Face for model integration and deployment.
• Knowledge of using open-source and commercial LLMs (e.g., Gemini, Claude, GPT-4, LLaMA) for production workflows.
• Ability to build and maintain data pipelines for training and inference.
• Good understanding of Cloud platforms for deploying AI services.
• API development and integration experience (REST, GraphQL).
• Exposure to event-driven systems and automation design.
• Some experience with system design for small-scale production systems.
• Passionate about AI in trading/finance and willing to learn domain-specific nuances.

Preferred Skills

• Strong problem-solving skills, with an ownership mentality throughout the work process.
• Self-starter with the ability to manage tasks with minimal supervision.
• Adaptability to working in a startup environment with tight deadlines.
• Systemic thinking to design automation-ready, scalable solutions.
• Eagerness to utilize AI tools for streamlining workflows and enhancing delivery speed.
• Excellent communication skills and ability to work effectively in a remote setup.

Experience

Minimum experience required is not specified.

Environment

Typical work setting and location details are not specified.

Salary

Salary information is not specified.

Growth Opportunities

Potential career advancement opportunities are not specified.

Benefits

Details of offered benefits are not specified.