Senior Software Engineer - Artificial Intelligence Team - Remote Eligible

Senior Software Engineer - Artificial Intelligence Team

Bloomreach is building the world's premier agentic platform for personalization. We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey.

We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses.

We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey.

We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do.

From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.

Join our Artificial Intelligence team as a Senior Software Engineer (with overlap into ML Engineer) and help us revolutionize marketing with ML-powered solutions! You'll work on cutting-edge technologies, impacting millions of users, and contributing to a product that truly makes a difference. Your starting salary will be 3,700 EUR gross per month, along with stock options and other benefits. We offer remote work in Central & Eastern Europe, with optional office space in Bratislava, Brno, or Prague on a full-time basis, you’ll become a core part of the Engineering Team.

What Challenge Awaits You?

You'll face the exciting challenge of building and maintaining ML-powered features in a production environment, ensuring they are reliable, scalable, and deliver real value to our users. You'll work alongside a team to overcome the unique challenges of building and running ML models in a SaaS environment, including managing data complexity, optimizing for performance, and ensuring model robustness.

You will cooperate with your teammates, Data Science engineers, and Engineering and Product leaders to speed up ML-powered features' delivery (from ideation to production) by applying principles of continuous discovery, integration, testing, and other techniques from Agile, DevOps, and MLOps mindsets. This will involve building efficient workflows, automating processes, and fostering a culture of collaboration and innovation.

Your Job Will Be To:

1. Design & Deliver New Features
2. Ensure Quality and Performance of Developed Solution
3. Support and Maintain Owned Components

a. Design & Deliver New Features

Translate business requirements for ML-powered features into technical specifications and design documents.

Collaborate with data scientists to ensure new ML features' technical feasibility and scalability.

Define and develop back-office API endpoints (to configure the features) as well as the high-performance serving endpoints.

Develop and implement ML models, algorithms, and data pipelines to support new features.

Deploy and monitor new features in production, ensuring seamless integration with existing systems.

b. Ensure Quality and Performance of Developed Solution

Perform rigorous testing and quality assurance of ML models and code, including unit tests, integration tests, and A/B testing.

Implement monitoring systems and dashboards to track the performance of ML models in production, identify potential issues, and optimize for accuracy and efficiency.

Contribute to developing and implementing DevOps and MLOps best practices within the team.

c. Support and Maintain Owned Components

Maintain end-to-end features, encompassing back-office APIs, models, definitions, and high-performance serving APIs.

Provide ongoing support and maintenance for existing ML-powered features, including troubleshooting issues, fixing bugs, and implementing enhancements.

Support our client-facing colleagues in the investigation of possible issues (L3 support).

Document code, design decisions, and operational procedures to facilitate ongoing maintenance and knowledge sharing.

What Technologies and Tools Does The AI Team Work With?

• Programming languages - Python
• Google Cloud Platform services - GKE, BigQuery, BigTable, GCS, Dataproc, VertexAI
• Data Storage and Processing - MongoDB, Redis, Spark, TensorFlow
• Software and Tools - Grafana, Sentry, Gitlab, Jira, Productboard, PagerDuty

The owned area encompasses various domains such as Recommendations, Predictions, Contextual bandits, MLOps. Therefore, having experience in these areas would be beneficial. The team also works with large amounts of data and utilizes platforms and algorithms for model training and data processing & ML pipelines. Experience in these areas is highly valued.

Your Success Story Will Be:

• In 30 Days: Successfully onboard and contribute to ongoing tasks, demonstrating understanding of the codebase and team processes.
• In 90 Days: Contribute to design discussions and independently deliver high-quality code for assigned features. Participate in investigating and resolving production issues.
• In 180 Days: Independently manage larger tasks, contribute to team improvements, and confidently handle L3 support, investigating and resolving production issues.

You Have The Following Experience and Qualities:

1. Professional — Proven experience in python engineering, system design, and maintenance in the area of AI/ML-powered features.
2. Personal — Demonstrates strong initiative, ability to work within a team, communication skills, and a commitment to continuous learning and improvement.

Professional Experience

• Proven experience in Python engineering, with a strong focus on designing and maintaining AI/ML-powered features in production environments.
• Experience with cloud platforms (e.g., GCP, AWS) and relevant services for ML development and deployment.
• Solid understanding of software architecture principles, particularly in the context of building and maintaining scalable and reliable APIs and microservices.
• Experience with version control systems (e.g., Git) and CI/CD pipelines for efficient development and deployment.
• Familiarity with common ML frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, Scikit-learn, etc.) and with ML pipelines/orchestration frameworks (Kubeflow, Airflow, Prefect,... )

Personal Qualities

• Demonstrates strong initiative and a proactive approach to problem-solving.
• Excellent communication and collaboration skills, with the ability to work effectively within a team.
• A genuine passion for learning new technologies and keeping up-to-date with the latest advancements in AI/ML.
• A commitment to delivering high-quality work and a dedication to continuous improvement.

Excited? Join Us and Transform the Future of Commerce Experiences!

More things you'll like about Bloomreach:

Culture:

• A great deal of freedom and trust. At Bloomreach we don't clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one.
• We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review, and internal communication.
• We believe in flexible working hours to accommodate your working style.
• We work virtual-first with several Bloomreach Hubs available across three continents.
• We organize company events to experience the global spirit of the company and get excited about what's ahead.
• We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*.
• The Bloomreach Glassdoor page elaborates on our stellar 4.4/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5.

Personal Development:

• We have a People Development Program -- participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions.
• Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges.
• Our managers are strongly encouraged to participate in