Overview
We are building our core AI team and looking for highly skilled AI engineers who can design, develop, and deploy cutting-edge AI systems. The ideal candidate will have strong foundations in software engineering, hands-on experience with AI frameworks, and a passion for solving real-world problems using intelligent agents and generative AI.
Responsibilities
- Design and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.
- Build, optimize, and deploy AI agents using frameworks like LangGraph, AutoGen, or similar.
- Develop and maintain scalable AI solutions in production environments.
- Collaborate with cross-functional teams (Design, Product, Data, Engineering) to integrate AI into applications.
- Research, prototype, and evaluate new AI/LLM techniques to enhance system performance.
Job Skills
- Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field.
- Strong software development background (Python, APIs, microservices, cloud deployment, etc.).
- Experience with LLMs, vector databases, embeddings, and orchestration frameworks.
- Proven ability to build and scale AI applications in production.
- Familiarity with LangChain, LangGraph, AutoGen, or similar ecosystems.
- Good understanding of data pipelines, MLOps, and evaluation metrics.
- Contributions to open-source AI frameworks.
- Experience with distributed systems and large-scale data processing.
- Experience in MCP integration.
- Knowledge of reinforcement learning or advanced ML research.