Senior Software Engineer, AI & Data

We value velocity and efficiency through fast iteration cycles. Our lean team doesn’t sit on ceremony. Build times, deployments, and meetings are kept tight so we can deliver effective solutions to our customers.

We expect engineers to own outcomes, make pragmatic architectural decisions, and stay close to the people using what they build.

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.

You’re an 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.

Building agentic systems that call tools or take actions in production

Retrieval, embeddings, semantic search, or hybrid search

Evaluation frameworks for AI agents and LLM-powered features

Classical machine learning, forecasting, anomaly detection, or optimization

Kafka, Redpanda, Flink, Spark, or similar event-processing systems

Change data capture and database replication

Data governance, permissions, privacy, and auditability

Financial, accounting, logistics, or other operational business data

Customer-facing analytics and reporting products

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

This is a unique opportunity to define how data and AI work across a growing SaaS platform. You’ll build the foundation, turn it into products, and work directly with customers to see whether those products solve meaningful problems.

We encourage individuals of all backgrounds and experiences to apply. We believe a diverse team builds better products and makes better decisions.

Renterra is an Equal Opportunity Employer.