Sensei

Sensei builds AI-powered autonomous retail systems that enable checkout-free, labor-light stores and deliver real-time in-store analytics. Its platform combines computer vision, machine learning,…

Artificial IntelligenceAutonomous RetailComputer VisionMachine LearningOperational EfficiencyPrivacy ComplianceRetail TechnologySeamless Shoppingsensei.tech

Sensei

Sensei builds AI-powered autonomous retail systems that enable checkout-free, labor-light stores and deliver real-time in-store analytics. Its platform combines computer vision, machine learning,…

Artificial IntelligenceAutonomous RetailComputer VisionMachine LearningOperational EfficiencyPrivacy ComplianceRetail TechnologySeamless Shoppingsensei.tech

HQCastelo Branco, PT

Team Size108

Open Jobs2

Total Funding$23M

Latest Fundraise2 years ago

TL;DR

Headquarters: Portugal (Lisbon)

Product: AI-driven autonomous retail platform (computer vision, sensor fusion, live virtual baskets)

Scale: 100+ active points of sale; deployments across Portugal, Spain, Italy, France, Brazil

Recent funding: €15M Series A (Oct 2024) led by BlueCrow Capital

Total capital raised (reported): $~23–25M

Company Overview

Problem Domain

Automating in-store retail operations and checkout processes; retail analytics and shopper behavior understanding.

Founded

2017

Industry

IT Services and IT Consulting

Funding Track Record

Seed

$6.5M

Seed reported as $6.5M (≈€5.4M) with participation from 200M Fund (BPF) and LeadX Capital.

Series A- October 2024

€15M

Series A reported at €15M (≈$16.2M); participants named include Lince Capital, Explorer Investments, Kamay Ventures, Metro AG and others.

Investor Signal

“Participating investors include growth and corporate investors such as BlueCrow Capital, Seaya Ventures, Iberis Capital, Metro AG and sector-focused VCs”

Founders

What we do

Join the Team

Senior Software Developer

HybridLisbon, Lisbon, PT

Hybrid • Lisbon, Lisbon, PT

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About Sensei:

Sensei is truly revolutionising the retail business and technology sectors with innovative solutions. Our in-house systems enable us to digitise physical stores and power them with the most advanced AI, computer vision, and real-time data processing technology — all within a reliable, cost-effective, and privacy-driven platform. This delivers the most seamless, checkout-free shopping experience in the world.

Our technology already operates in multiple countries with leading retailers and distinguishes itself by offering a unique, frictionless retail experience that welcomes all shoppers and payment methods, with real-time basket management and analytics.

About Your Team:

The Software Engineering team is at the heart of Sensei’s platform, building the distributed systems that make autonomous retail possible. Our engineers design, develop, and deploy high-performance services that process real-time data streams from multiple sources, including cameras, sensors, and edge devices, ensuring reliability, scalability, and low latency.By combining strong engineering principles, DevOps culture, and automation, the team’s mission is to deliver production-grade systems that integrate seamlessly with Sensei’s AI and Computer Vision technology.

How Can You Help?

We’re looking for a smart, highly qualified Senior Software Developer

who will play a key role in designing, implementing, and maintaining the backbone of Sensei’s real-time autonomous retail platform. You will work on distributed and event-driven systems, microservices, and end-to-end pipelines that connect vision-based AI insights with robust, on-premise and cloud infrastructures.

You’ll collaborate closely with Computer Vision (CV), Data Engineering, and Dev-Ops teams, ensuring our systems are performant, observable, and production-ready. You will also be responsible for improving deployment pipelines, implementing best practices for software development, service communication, system monitoring, and delivering resilient, scalable software solutions.

At Sensei, you’ll be at the forefront of redefining how software supports next-generation AI-based retail experiences.

Daily at Sensei, You Will:

Design, develop, and maintain scalable microservices and real-time data pipelines
Work with event-driven architectures (Kafka, pub/sub) to handle high-throughput, low-latency data.

You Will Bring to the Table:

After Six Months, Success Means:

Successfully delivered at least one real-time microservice or component into production, showing high-quality code leading to efficiency, latency, or scalability.
Demonstrated a clear understanding of Sensei’s distributed architecture, communication protocols, and CI/CD pipelines.
Proposed and implemented at least one architectural improvement or automation enhancement.
Collaborated effectively with the CV/ML, and Product teams to integrate software components into the production ecosystem.
Proactively take action, defining the vision and roadmap for Sensei’s key Software Products.

What's in it for You:

We put all of our employees at very high standards, and we want you to be thoroughly rewarded for that. We believe in providing the best environment to allow you to do your best work, and we currently offer:

Collaborate with outstanding people, enhance your skill set, and make a meaningful contribution to the world.
Competitive salary
Meal card
Flexible benefits package, be it a gym membership, the monthly fee of your child’s kindergarten, or an investment for retirement – the choice is yours!
Health Insurance
Hybrid Working Model
5 extra days off per year on top of 22 statutory leave days: Your Birthday, Carnival Day, Christmas Eve, and 2 Health-Focus Days
This is the most exciting time to join Sensei, and you'll have direct input and influence on the direction we take.

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Implement robust APIs and inter-service communication using gRPC, RTCP and Protobuf.

Contribute to containerization and orchestration using Docker and Kubernetes.

Develop and manage CI/CD pipelines (GitHub Actions) for automated testing and deployment.

Implement logging, monitoring, alerting, and observability with Datadog, Prometheus, and Grafana.

Collaborate with the CV/ML teams to integrate model inference pipelines into production services.

Handle camera image stream synchronization and real-time data processing.

Ensure strong reliability, fault tolerance, and performance across all deployed systems.

Participate in code reviews, testing automation, and continuous improvement initiatives.

Stay up to date with modern software engineering practices and share insights with your peers.

M.Sc. in Computer Science, Software Engineering, or a related field, or equivalent professional experience.

5+ years of experience in backend software development, preferably in distributed or real-time systems.

Strong knowledge of Python.

Solid understanding of microservices architecture, Docker, Kubernetes, and gRPC/Protobuf.

Experience with event-driven systems (Kafka, ROS, or other pub/sub frameworks).

Familiarity with CI/CD pipelines (GitHub Actions, Jenkins, etc.).

Proficiency with monitoring, tracing, and observability tools (Grafana, Datadog, Prometheus).

Strong understanding of software testing, end-to-end integration, and system debugging.

Working knowledge of build systems, linters, and code quality assurance tools.

Excellent collaboration and communication skills; fluent in English (our daily working language).

Experience with edge computing, real-time camera or sensor systems, or IoT pipelines.
Experience in real-time data processing and streaming architectures.
Knowledge of DevOps best practices, infrastructure as code, or service orchestration.
Solid foundation in object-oriented design, concurrency, and system performance optimization.
Experience using PyCharm or similar professional development environments.
Contributions to open-source or experience working in high-availability production environments.