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3 days ago
Job Title: Expert AI Systems Engineer
We are seeking a highly skilled Expert AI Systems Engineer to join our team. The ideal candidate will have expertise in designing and developing robust backend systems using Python, integrating large language models (LLMs), and creating scalable and high-performance REST APIs for data exchange between microservices.
Key Responsibilities- Design and develop robust backend systems using Python for integration with LLMs.
- Create scalable and high-performance REST APIs for data exchange between microservices.
- Collaborate on code reviews and ensure production-ready codebases.
- Work with SQL and NoSQL databases, understanding data modeling principles.
- Develop unit tests, debug, document, and collaborate on CI/CD pipelines.
- Prior experience with LLM ecosystems and frameworks like Langchain, LangGraph, CrewAI, Agnos, AutoGPT, or Semantic Kernel.
- Experience building Retrieval-Augmented Generation (RAG) pipelines with vector stores, embedding models, chunking, and token window optimization.
- Familiarity with Model Context Protocol (MCP) or other advanced context injection strategies.
- Integrate with OpenAI, Anthropic, Ollama, Hugging Face, etc.
- Write or use custom tools, memory components, or agent planners.
- Hands-on experience with federated query tools like Trino or Athena.
- Familiarity with cloud-native deployments.
- Experience building data connectors for RAG.
- Background in privacy-aware computing, data security, or compliance-driven design.
This is an exciting opportunity to work at the forefront of AI innovation and contribute to shaping the next generation of intelligent, secure, cloud-native applications.
As an expert in AI systems engineering, you will be part of a dynamic team that values collaboration, creativity, and continuous learning. We offer a challenging and rewarding environment where you can grow your skills and make a meaningful impact.
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