
AI Engineer
1 week ago
Requirements:
- 2+ Years of experience in building and deploying AI/ML models and systems.
- Strong proficiency in Python and its core data science/AI libraries (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas).
- Deep, practical experience working with LLMs and advanced agentic frameworks like LangChain and LangGraph.
- Solid understanding of AI architecture patterns, especially Retrieval-Augmented Generation (RAG).
- Experience with API development and integration (e.g., FastAPI, REST).
- Familiarity with cloud platforms (GCP, AWS, etc.) and database technologies.
- A strong problem-solving mindset and the ability to work collaboratively in a fast-paced environment.
- A portfolio of projects (personal, academic, or professional) that demonstrates your ability to build real-world AI applications.
Responsibilities:
- Design, build, and maintain sophisticated AI systems, including RAG pipelines, autonomous agents, custom generative AI solutions, and workflows using advanced frameworks like LangGraph.
- Work extensively with Large Language Models (LLMs) and related frameworks (like LangChain, LlamaIndex, etc.) to build intelligent applications.
- Develop and integrate with APIs to connect our AI systems to a wide range of client data sources and third-party services.
- Collaborate with our full-stack and mobile development teams to ensure seamless integration of AI capabilities into user-facing applications.
- Translate complex business problems into elegant, scalable technical solutions.
- Stay at the forefront of the rapidly evolving AI landscape, experimenting with new tools and concepts like Model-Context-Protocol (MCP) to drive innovation.
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