AI engineer

Robotic Process Automation LLC; Chicago (IL); On-site; USD 150,000 - 210,000; Full time

Job summary

Robotic Technologies Automation seeks an experienced backend/AI Platform Engineer to advance LLM-driven systems. You will design and deploy distributed, cloud-native services on AWS, implement AI orchestration, and optimize retrieval and semantic search across large data sources.

The role requires 5+ years in backend, platform, or infrastructure engineering, strong Python/Go/Java skills, and hands-on experience with LangChain, LlamaIndex, or LiteLLM.

Qualifications

• Bachelor’s or Master’s in Computer Science, Machine Learning, or related field.
• 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 Python, Go, or Java.
• Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, pgvector, Vespa, etc.
• Deep understanding of information retrieval: dense retrieval, semantic search, and hybrid approaches.
• Distributed, cloud-native systems on AWS, including CI/CD automation and containerization.
• Security, compliance, and governance for enterprise systems.

Skills

LLM integration

Python

Distributed systems

AI orchestration

Vector databases

Go

Java

AWS

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.