AI Systems Engineer: LLM Pipelines & RAG Orchestration

Veriipro; Chicago (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

Veriipro is seeking a skilled professional to design and implement modular AI systems and workflow solutions in Chicago, Illinois. Candidates should possess strong proficiency in Python, experience with LangChain, LangGraph, and RAG pipelines, as well as familiarity with LLM integrations like GPT-4 and PostgreSQL with pgvector.

The role involves collaboration with engineering teams and ensuring the performance and reliability of AI-driven applications, making it ideal for those looking to modernize legacy applications.

Qualifications

• Strong proficiency in Python and AI application development.
• Hands-on experience with LangChain and LangGraph.
• Experience with RAG pipelines and vector databases.

Responsibilities

• Design and implement modular AI systems and workflow orchestration solutions.
• Develop and optimize RAG pipelines for intelligent search and workflow automation.
• Integrate and fine-tune multiple LLM platforms for automated tasks.

Skills

Python proficiency

LangChain experience

LangGraph experience

RAG pipelines expertise

PostgreSQL with pgvector

LLM integrations (GPT-4, Claude, etc.)

Workflow orchestration knowledge

REST APIs understanding

Job description

Veriipro is seeking a skilled professional to design and implement modular AI systems and workflow solutions in Chicago, Illinois. Candidates should possess strong proficiency in Python, experience with LangChain, LangGraph, and RAG pipelines, as well as familiarity with LLM integrations like GPT-4 and PostgreSQL with pgvector.

The role involves collaboration with engineering teams and ensuring the performance and reliability of AI-driven applications, making it ideal for those looking to modernize legacy applications.