AI Lead Engineer: GenAI, Graphs & Multi-Agent Systems

CitiusTech; Chicago (IL); On-site; USD 150,000 - 185,000; Full time

Job summary

CitiusTech in Chicago is seeking a hands-on AI engineering leader to advance our AI agents and Knowledge Graph capabilities. You will mentor engineers, build tools for Databricks, Stardog, Orkes, and Unity Catalog, and ensure secure, scalable deployments across platforms.

The role emphasizes graph-schema design, retrieval, and evaluation components, with a focus on PHI safety and robust testing. Join a fast-paced team driving healthcare AI innovation.

Qualifications

• Strong Python, SQL, API, and software-engineering skills.
• Hands-on development of GenAI, RAG, tool-using agents, and multi-agent workflows.
• Knowledge Graph development, semantic modeling, SPARQL, and graph retrieval.
• Prompt engineering, context engineering, structured outputs, and LLM evaluation.
• Databricks, PySpark, data profiling, transformation, and data-quality implementation.
• Secure application development involving PHI and sensitive healthcare data.
• Automated testing, Git-based delivery, CI/CD, and production troubleshooting.
• Ability to lead technical delivery and coordinate across AI, data, platform, and domain teams.
• LangChain and DeepAgents
• Stardog and SPARQL
• Orkes
• Azure Databricks and PySpark
• MLflow
• Unity Catalog
• Python and SQL
• Dynatrace and OpenTelemetry
• GitHub, CI/CD, Docker, and REST APIs

Responsibilities

• Lead hands-on development of AI agents and Knowledge Graph capabilities.
• Build supervisor, planner, mapping, discovery, recipe-generation, quality, and remediation agents.
• Develop agent tools for Stardog, Databricks, Orkes, Unity Catalog, and platform APIs.
• Implement graph schemas, relationships, ingestion pipelines, queries, and hybrid retrieval.
• Build prompt, context-management, grounding, confidence-scoring, and evaluation components.
• Implement PHI redaction, tenant isolation, tool restrictions, and approval workflows.
• Develop automated testing for agents, prompts, graph retrieval, recipes, and generated code.
• Integrate agent telemetry with AI and operational observability platforms.
• Mentor engineers and enforce coding, testing, security, and deployment standards.

Skills

Python

SQL

API

Software engineering

GenAI

RAG

Multi-agent workflows

Knowledge Graph development

SPARQL

Prompt engineering

Context engineering

LLM evaluation

CI/CD

Git-based delivery

Diagnostics/Observability

Tools

Databricks

PySpark

GitHub

CI/CD

Docker

REST APIs

Unity Catalog

MLflow

Dynatrace

OpenTelemetry

Stardog

SPARQL

Orkes

Azure Databricks

Job description

CitiusTech in Chicago is seeking a hands-on AI engineering leader to advance our AI agents and Knowledge Graph capabilities. You will mentor engineers, build tools for Databricks, Stardog, Orkes, and Unity Catalog, and ensure secure, scalable deployments across platforms.

The role emphasizes graph-schema design, retrieval, and evaluation components, with a focus on PHI safety and robust testing. Join a fast-paced team driving healthcare AI innovation.