Senior Software Engineer, AI & Data

Renterra

Senior Software Engineer building the data and AI foundations for a SaaS company in Chicago. Collaborating with various teams to deliver intelligent products that solve customer problems.

Posted 7/23/2026full-timeChicago • Illinois • 🇺🇸 United StatesSenior💰 $150,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data architecture, SQL, and data modeling, with a focus on building AI-powered products and ensuring production quality. Capable of making pragmatic technical decisions and collaborating across teams to deliver effective solutions.

Highest-signal resume keywords

Data ArchitectureSQLData ModelingAI-Powered Product DevelopmentDistributed Systems

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Hard Skills

Data ProcessingEvent ArchitectureAnalytical SystemsMachine LearningModel EvaluationData QualityFailure RecoveryPerformance OptimizationCost ManagementObservability

Soft Skills

CollaborationProblem-SolvingCommunicationJudgmentLeadership

Tools & Technologies

ClickHouseData PipelinesEvent-Driven SystemsAI WorkflowsIntelligent Agents

Industry Keywords

Operational DataFinancial DataCustomer ImpactFeedback LoopsProduct Features

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Build our data and AI foundation: Design how operational and financial data is captured, structured, processed, stored, and queried across Renterra. This includes event architecture, data pipelines, and analytical systems such as ClickHouse.
Create AI-powered products: Build agents and intelligent workflows that use Renterra’s data to identify problems, answer questions, support decisions, and automate work for our customers.
Own production quality: Make data and AI systems reliable, observable, secure, and cost-effective. Design for failure recovery, data quality, permissions, model uncertainty, and appropriate human review.
Measure what works: Develop evaluations and feedback loops for accuracy, reliability, latency, cost, and customer impact. Use what you learn to improve both the underlying data systems and the product experience.
Work across the company: Partner with leadership, product, engineering, support, and customers to find valuable problems and turn them into shipped solutions.
Make pragmatic technical decisions: Choose the right approach for each problem, whether that is a deterministic workflow, analytical query, machine-learning model, LLM, vendor, or a combination of them.
Report directly to the CTO.

Requirements

What you’ll need

You’re a AI-forward builder who wants to own the full path from raw data to a customer-facing product that solves a real problem.
You’re a high-caliber software engineer at the Senior, Staff, or Principal level. You’ve built and operated production systems and bring strong product and architectural judgment.
You have deep experience with data architecture, SQL, and data modeling, including analytical databases such as ClickHouse. You understand how data structure and access patterns affect performance, maintainability, and cost.
You understand distributed and event-driven systems, including ordering, retries, deduplication, replay, schema evolution, and failure recovery.
You’ve shipped AI- or ML-powered product features and understand the full system around the model: data, retrieval, tool use, evaluation, observability, permissions, and fallbacks.

Benefits

Comp & perks

Competitive compensation and equity
Health, dental, and vision insurance
Flexible PTO
A highly visible, high-impact role
Direct influence over Renterra’s AI and data strategy
The opportunity to build the technical foundation and the customer-facing products that run on top of it