AI Engineer- agentic startup- $300,000-$350,000 base + bonus!

Saragossa; Chicago (IL); On-site; USD 130,000 - 190,000; Full time

Job summary

Saragossa in Chicago is seeking AI Engineers to lead the evolution of their decision intelligence systems across RAG, LLMs, MCPs, and ontology.

You will apply LLMs, vector retrieval, and AWS-native AI tools to turn massive unstructured datasets into reliable, repeatable, high-utility intelligence, while working closely with product teams to understand real customer use cases and normalize data from multiple sources.

Responsibilities

• Lead the evolution of decision intelligence systems across RAG, LLMs, MCPs, and ontology.
• Apply advanced LLMs, vector retrieval, and AWS-native AI tools to transform massive unstructured data into reliable, reusable intelligence.
• Collaborate with product teams to understand customer use cases, normalize data from multiple sources, and design decision-support engines that reduce hallucinations and improve cost efficiency.

Job description

Looking to take on a high-impact AI engineering role where your work shapes how thousands of firms make decisions every day?

If you're interested in building the next generation of AI-powered SaaS platform- transforming how firms automate workflows, normalize data, surface insights, and drive intelligent decision-then this could be a great next move for you.

They’re searching for multiple AI Engineers to lead the evolution of their decision intelligence systems across RAG, LLMs, MCPs, and ontology.

In this role, you’ll apply advanced LLMs, vector retrieval, and AWS-native AI tools to turn massive and unstructured datasets into reliable, repeatable, high-utility intelligence. You’ll work closely with product teams to understand real customer use cases, normalize and unify data from multiple sources, and design decision-support engines that can eliminate hallucinations, maintain cost efficiency, and power operational transformation.

They’re looking for someone who has shipped AI-driven features in startup or SaaS environments, reimagined existing systems using agentic patterns, and built decision-support tools that materially improved customer experience or operational efficiency. If you’ve taken AI from theory to production, navigated the challenges of reliability and model behavior, and built systems that deliver real business value, you’ll thrive here.

No up-to-date resume required.