AI engineer

Quantum Technologies. LLC

Chicago (IL)

On-site

USD 140,000 - 190,000

Full time

2 days ago
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Job summary

Quantum Technologies. LLC, based in Chicago, IL, is seeking a senior backend/platform engineer to lead LLM integration and orchestration across our data-intensive services.

You will design scalable, secure, cloud-native systems on AWS, implement CI/CD pipelines, and work with vector databases and retrieval techniques to deliver high-performance AI features.

Qualifications

  • 5+ years of experience in backend, platform, or infrastructure engineering.
  • Hands-on experience with LLM integration, prompt/response mediation, or AI orchestration frameworks such as LangChain, LlamaIndex, or LiteLLM.
  • Strong proficiency in one or more programming languages (Python, Go, or Java).
  • Experience with vector databases (Pinecone, Weaviate, Milvus, FAISS, pgvector, Vespa, etc.).
  • Deep understanding of information retrieval techniques: dense retrieval, semantic search, and hybrid approaches.
  • Proven experience building distributed, cloud-native systems on AWS, including CI/CD automation and containerization.
  • Strong understanding of security, compliance, and governance principles for enterprise systems.

Skills

Python
Go
Java
CI/CD
Containerization
Security & Governance

Education

Bachelor’s or Master’s in Computer Science, Machine Learning, or related field

Tools

LangChain
LlamaIndex
LiteLLM

Job description

Banking & Finance,IT/Software,Media/ Entertainment

Work Authorization:

  • Bachelor’s or Master’s in Computer Science, Machine Learning, or related field
  • 5+ years of experience in backend, platform, or infrastructureengineering
  • Hands-on experience with LLM integration, prompt/response mediation, orAIorchestration frameworks such as LangChain, LlamaIndex, or LiteLLM
  • Strong proficiency in one or more programming languages (Python, Go, or Java)
  • Experience with vector databases (Pinecone, Weaviate, Milvus, FAISS, pgvector, Vespa, etc.)
  • Deep understanding of information retrieval techniques: dense retrieval, semantic search, and hybrid approaches
  • Proven experience building distributed, cloud-native systems on AWS, including CI/CD automation and containerization
  • Strong understanding of security, compliance, and governance principles for enterprise systems

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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