
Artificial Intelligence Systems Engineer
2 days ago
Job Description
">As a Backend Engineer, you will play a key role in designing and developing high-performance, scalable AI services that integrate LLM-based intelligence into our ecosystem. You will work closely with the team to develop robust backend microservices, REST API development, and production-ready codebases.
">Required Skills and Qualifications
">- ">
- Strong background in Python, specifically in NLTK, Spacy, FastAPI, Tensorflow, Keras, Pytorch, FastMCP, Pandas.">
- Experience working with LLM ecosystems and frameworks like Langchain, LangGraph, CrewAI, Agnos, AutoGPT, or Semantic Kernel.">
- Ability to build Retrieval-Augmented Generation (RAG) pipelines with Vector stores, embedding models, chunking, and token window optimization.">
- Familiarity with Docker, Kubernetes, and CI/CD pipelines is also required.">
- Proficiency in writing unit tests, debugging, documenting, and collaborating through code reviews.">
Benefits
">This is a hands-on, full-time opportunity to help shape the next generation of intelligent, secure, cloud-native applications. As a team player with a startup mentality, you will have the ability to prototype quickly but build robustly for production.
">Others
">We are looking for someone with a strong desire to work on meaningful AI-powered solutions, not just LLM wrappers. The ideal candidate will have experience building data connectors (SQL/GraphQL APIs for RAG) and familiarity with federated query tools like Trino or Athena, as well as cloud-native deployments (GCP/GKE, AWS/EKS).
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