Build the autonomous layer for customer recovery.
We're a tight-knit team of engineers and systems builders passionate about high-throughput telemetry, edge computing, and real-time behavioral intervention.
Our Engineering Culture
How we work and build together.
We value speed of execution, deep technical curiosity, and products that deliver immediate, measurable ROI for customers.
High-Throughput Systems
We process millions of customer journey events with sub-50ms latency. If you love optimizing edge workers and distributed queues, you'll feel right at home.
High Agency & Autonomy
No layers of middle management. Engineers own architecture, deployment, and customer-facing impact from day one.
Real Customer Impact
Every commit directly ties to dollars recovered for real businesses — not vanity metrics or artificial engagement scores.
Current Openings
Join our engineering team and help us eradicate checkout drop-offs and silent funnel leaks across thousands of online platforms.
AI Engineer
Architect, train, and deploy real-time behavioral models and LLM-driven intervention agents that predict and prevent customer churn at sub-50ms latency.
What You'll Do
- Design and deploy low-latency inference pipelines at the edge to score customer intent and abandonment signals in real time.
- Build and fine-tune specialized LLM recovery agents that generate personalized, context-aware recovery nudges across WhatsApp, SMS, and email.
- Continuously improve precision, recall, and attribution metrics across millions of streaming customer journey events.
- Collaborate with distributed systems engineers to benchmark and optimize model inference latency to under 50ms.
What We're Looking For
- 3+ years of experience deploying production ML models, LLM orchestration frameworks, and agentic workflows.
- Proficiency in Python, PyTorch/TensorFlow, and vector databases/embeddings for real-time recommendation or ranking.
- Solid understanding of edge deployments (Cloudflare Workers, ONNX runtime, or WebAssembly inference).
- Obsession with measurable ROI, attribution modeling, and automated decision-making.
Full Stack Developer
Build high-performance frontend telemetry interfaces, interactive analytics dashboards, and end-to-end integration workflows for enterprise revenue teams.
What You'll Do
- Develop reactive, ultra-responsive web applications using TypeScript, React/TanStack, and modern design systems.
- Build real-time stream visualizations and diagnostic charts showing customer journey telemetry and recovery metrics.
- Integrate customer recovery workflows with third-party platforms (Shopify, Stripe, Segment, Webhooks, CRMs).
- Ensure 99.9% uptime and buttery-smooth user experiences with zero layout shifts and sub-second load times.
What We're Looking For
- 3+ years building and scaling production web applications with TypeScript, modern React, and Node.js.
- Strong intuition for UX, micro-interactions, responsive design systems, and data visualization.
- Experience with RESTful/GraphQL APIs, WebSocket streaming, and state management at scale.
- High ownership mindset — comfort shipping features from initial RFC to deployment and monitoring.
Node.js Developer
Engineer resilient, event-driven backend microservices, real-time telemetry collectors, and high-throughput queuing systems handling millions of daily events.
What You'll Do
- Architect and optimize event ingestion gateways capable of processing 50,000+ incoming HTTP/WebSocket events per second.
- Build asynchronous processing pipelines using Redis, BullMQ, Kafka/RabbitMQ, and distributed workers.
- Develop robust integrations and webhooks with payment gateways, eCommerce platforms, and marketing automation stacks.
- Maintain strict latency SLAs, comprehensive test coverage, and observability with distributed tracing.
What We're Looking For
- 3+ years of backend engineering experience with modern Node.js, TypeScript, and asynchronous event-driven architectures.
- Deep expertise with streaming architectures, Redis Pub/Sub, message brokers, and relational/NoSQL databases.
- Familiarity with containerization (Docker), CI/CD, and deploying microservices on AWS/GCP or edge runtime environments.
- Strong focus on security, rate-limiting, fault tolerance, and graceful degradation.
Python Developer
Build scalable data ingestion pipelines, attribution computation engines, and backend APIs powering Edverix's core telemetry analytics.
What You'll Do
- Develop high-throughput REST and streaming APIs using FastAPI, AsyncIO, and modern Python tooling.
- Build automated revenue attribution models that correlate behavioral recovery triggers with actual customer checkouts and payments.
- Optimize multi-tenant SQL queries, analytical aggregation jobs, and data lakes handling terabytes of behavioral clickstream logs.
- Create monitoring tools and automated anomaly detection to spot unexpected drop-offs in customer conversion funnels.
What We're Looking For
- 3+ years writing robust, production-grade Python with FastAPI, Pydantic, SQLAlchemy, or Django.
- Strong background in analytical data stores (ClickHouse, Snowflake, BigQuery, PostgreSQL) and data processing frameworks.
- Experience building resilient background worker queues and distributed locks.
- Passion for clean code, type hints (mypy), comprehensive testing, and clear API documentation.
Don't see your specific role? Reach Out Directly.
If you are an exceptional engineer, distributed systems specialist, or telemetry architect who wants to eliminate silent revenue leakage, we always make room for outstanding talent.
Send Us a Personal Note
Send an email to talent@edverix.com with your GitHub profile, links to systems you've built, or what problems in recovery analytics interest you most. We read and reply to every personal note.