Why Kimchi?

Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters - now we're building the execution layer where agents do real work.

Our Infrastructure today: multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API, and deployment flexibility from our GPUs to your VPC. The inference layer is the foundation. What we're hiring for sits on top of it: coding agents, agent runtimes, orchestration systems, and the reliability engineering that makes them actually finish things.

Tech Stack: TypeScript, Go, Kubernetes, AWS/GCP/Azure, MCP, Prometheus/Grafana/Loki, GitLab CI, ArgoCD.

Why harness engineering matters here
OpenAI and Anthropic ship models. They also ship one harness each - the scaffolding that turns a raw model into something that can plan, execute, recover, and complete work. We ship a different kind of harness: one built for cost-conscious, long-horizon autonomy, running on inference infrastructure we control end-to-end.
A decent model with a great harness beats a great model with a bad harness. We've watched this play out. The gap between what today's models can do and what you see them doing is largely a harness gap - and that gap is where we operate.

What you'll build
The ratchet.
Every time our agent makes a mistake, we engineer a solution so it never makes that mistake again. That means hooks that enforce constraints the model "knows" but forgets: pre-commit lint checks, permission gates, context compaction before the window fills. Success is silent, failures are verbose.

Long-horizon execution.
Our harness is built around spec-driven autonomy: meta-prompting, fresh context per task, worktree-per-slice git strategy, automatic replanning, crash recovery, stuck detection. We're implementing Ralph loops - when the model tries to exit, we intercept and reinject the goal into a fresh context. The agent reads state from disk and continues. Multi-session, multi-day work, without context rot.

Planner/executor splits.
Planning with a reasoning model, executing with a fast one, evaluating with a third. Separating generation from evaluation beats self-verification because agents reliably skew positive when grading their own work.

The harness surface.
CLI, TUI, MCP integration, sandboxed execution, telemetry. Our AGENTS.md is short - every line traces to a specific thing that went wrong. TypeScript on the surface, Go where it matters.

Memory and context.
Moving agents off laptops, giving them state that survives across sessions, managing context so information lands where it's actionable. Compaction, tool-call offloading, progressive skill disclosure.

What makes this different (with receipts)
You've seen the pitch: "we route to the best model." Everyone says that. Here's what we actually have:

• GPU infrastructure we own. Not just an API reseller. From GPU placement across clouds to the inference endpoint your agent calls - we control the cost curve.
• A harness-first thesis. We treat agent failures as configuration problems, not model problems. When we moved from a stock harness to our own, completion rates on internal benchmarks improved by 40%+ on the same model.
• Agents.md that earns every line. No brainstormed rules - every constraint in our system prompt traces to a real failure we saw and fixed.

Requirements:

• You've used AI coding agents in anger. Not demos - real work. You have opinions about Claude Code, Codex, OpenCode, Cursor. You know what it feels like when an agent gets stuck and why.
• Strong TypeScript or Go in production. Comfort moving between them. Our surface is TypeScript; our core is Go.
• You think in harness terms. You read "the agent hallucinated" and your first instinct is to ask what context it was missing, what hook should have caught it, what constraint should exist.
• You drive features end-to-end. Design → build → ship → measure → iterate. We don't have layers that absorb ambiguity for you.

Responsibilities:

• Build and evolve the agent harness - ship hooks, permission gates, and context compaction. Every AGENTS.md constraint traces to a failure you personally diagnosed.
• Own long-horizon execution - multi-session task completion via spec-driven prompting, worktree-per-slice git, Ralph loop recovery, and stuck detection. Completion rate is your metric.
• Architect planner/executor/evaluator pipelines - planning with a reasoning model, execution with a fast one, evaluation with a third. No self-verification.
• Manage agent memory and context - state persistence across sessions, context compaction, tool-call offloading. Zero context rot on multi-day work.
• Own the harness surface - CLI, TUI, MCP integrations, sandboxed execution, telemetry. TypeScript on the surface, Go where it matters.

What success looks like (after 6 months):

• You've shipped at least one major harness feature end-to-end: designed it, built it, measured it, iterated.
• You've added constraints to our AGENTS.md based on failures you personally observed and diagnosed.
• You've improved a measurable reliability metric - completion rate, context efficiency, or cost per successful task.
• You've formed strong opinions about where our harness is load-bearing and where it's dead weight.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Help us evolve and scale the Bloomreach Engagement UI design system and become our new UI Developer. Implement new designs, and create and maintain UI components used across our product. You’ll sit at the intersection of design, engineering, and product, turning ideas into intuitive, robust, and beautiful interfaces. Working in one of our Central European offices (Bratislava, Brno, Prague) or from home on a full-time basis, you’ll become a core part of our Frontend Team. 

What tech stack do we use?

• Our styles are written in Sass (SCSS).
• Our Engagement app currently runs on Angular.
• We use JavaScript/TypeScript for application logic.
• We use Git for version control.
• Our build process uses Nx + Angular CLI, with custom ts-node and Node scripts.

You don’t need to be an expert in every framework from day one, but you should be comfortable working in at least one modern SPA framework (Angular, React, or Vue) and curious to learn the others.

What challenge awaits you?

As a Bloomreach UI Developer, you will be the go‑to person for:

• Designing and implementing UI components and patterns that are reused across the Engagement app.
• Evolving our in‑house UI framework and design system so that it’s easier and faster for product and engineering teams to build consistent experiences.
• Collaborating tightly with product designers to bring new ideas to life and to keep our visual language coherent.
• Bringing a CSS architecture mindset to a large codebase so styles remain modular, predictable, and easy to refactor over time.
• Leveraging AI in your daily work — from code generation and refactoring suggestions to documentation and quick UI experiments.

Our goal is to make our Engagement app easy to use and visually pleasant for our customers. You’ll operate on three levels: bug fixing, maintenance and creation of UI components, and implementation of new designs — with a strong focus on the design‑system layer and product outcomes. Having a great developer experience is also something we’re serious about.

Your job will be to:

1. Expand & maintain our UI design system and components library
2. Improve & maintain our in‑house SCSS framework
3. Implement new designs and product experiences

a. Expand & maintain our UI design system and components library

• Understand how our components work under the hood and enable frontend developers to build advanced interfaces using our framework.
• Design and implement reusable UI primitives (tokens, layout primitives, form controls) and higher‑level components in a way that can be applied across Angular applications.
• Revise code of the components frequently and keep up with the latest possibilities of CSS (e.g. container queries, cascade layers, new color functions) and how they affect our architecture.
• Ensure cross‑browser compatibility (modern browsers only) and good accessibility practices.
• Shape visual representation and behavior together with designers, acting as a technical partner in design reviews.
• Maintain and improve our internal “Showcase”/component gallery as a single source of truth for our design system (documentation, usage examples).

b. Improve & maintain our in‑house SCSS framework

• Extend and update core functions, mixins, and utilities that help us write styles efficiently and keep them easy to reason about.
• Evolve our CSS architecture (e.g. layers, naming conventions, design tokens, theming approach) to keep the system scalable as the product grows.
• Identify and remove legacy styles, dead code, and inconsistencies, focusing on performance and maintainability.
• Use AI‑powered tooling where it makes sense (code search, refactor suggestions, documentation summaries) to speed up this work.

c. Implement new designs and product experiences

• Update existing screens to match the latest design specs and interaction patterns.
• Research the best strategies for comprehensive changes — understanding how components are reused across screens and in different contexts — and propose pragmatic rollout plans.
• Work closely with product managers and designers to make trade‑offs that balance UX quality, technical feasibility, and delivery timelines.
• Ensure that visual and structural changes don’t introduce any bugs — partnering with QA and using tools (including AI‑assisted testing where appropriate) to catch regressions early.

Your success story will be:

• In 30 days, you will learn how our methodology works, ship your first UI bug fixes, and start contributing to small improvements in our design system.
• In 90 days, you will understand how our core components and SCSS framework work, co‑own at least one part of the design system, and support other frontend developers on a sprint project — including reviewing their usage of UI components and any styling or template changes.
• In 180 days, you will be able to tackle most tasks on your own, question and challenge designs with confidence, propose and drive improvements to our UI architecture, and help shape the future roadmap of our design system.

You have the following experience and qualities:

1. Professional — CSS, Sass, working with browser,  programming skills, Git, knowledge of Angular (optionally React or Vue), familiarity with web components is an advantage.
2. Personal — team player, honesty, responsibility, motivation

Professional experience

• Strong CSS and Sass skills — CSS will be your bread and butter and for a smooth experience it’s good if you know: selector types and specificity, fonts, relative units, box sizing, positioning, flexbox, grid, responsiveness, pseudo elements, animations, and their performance impacts.
• Experience with writing maintainable, modular, component‑based CSS
• Experience building or significantly contributing to a design system or UI component library (tokens, components, documentation, versioning, rollout).
• Comfortable with intermediate programming in JavaScript or TypeScript — structuring code, working with asynchronous logic, and debugging — and using that knowledge to implement or adjust UI behavior in Angular/React/Vue components.
• Hands‑on experience with at least one modern frontend framework (Angular, React, or Vue). Curiosity to apply design‑system thinking across frameworks is a plus.
• Familiarity with Git and standard workflows (branching, pull/merge requests, code review).
• A genuine passion for modern CSS and web UI, keeping an eye on new specs and browser capabilities and knowing when (and when not) to use them.
• An architecture mindset when it comes to stylesheets: you think in layers, dependencies, and long‑term maintainability, not just “what works right now”.
• Openness to leveraging AI in the development process — for example, using AI tools to explore refactoring options, generate variants, or support documentation — while still owning the final quality of the solution.

Personal qualities

• Product‑oriented mindset: you care about the problem we’re solving and the impact on the user, not only the implementation details.
• Ability to work in a team where we value diversity and open‑mindedness.
• Willingness to discuss problems honestly, keep focus on what’s important, and look for outcomes, not blame.
• Sense of ownership and responsibility — you follow through on what you start and care about the quality of your work in production.
• Motivation to grow: you enjoy your craft, seek feedback, and look for ways to improve both the product and the system you’re building on.

Excited? Join us and transform the future of commerce experiences.

#LI-KP1

Help us evolve and scale the Bloomreach Engagement UI design system and become our new UI Developer. Implement new designs, and create and maintain UI components used across our product. You’ll sit at the intersection of design, engineering, and product, turning ideas into intuitive, robust, and beautiful interfaces. For candidates at the P3 / Senior level, starting monthly compensation begins at 3 500 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included. Working in one of our Central European offices (Bratislava, Brno, Prague) or from home on a full-time basis, you’ll become a core part of our Frontend Team. 

What tech stack do we use?

• Our styles are written in Sass (SCSS).
• Our Engagement app currently runs on Angular.
• We use JavaScript/TypeScript for application logic.
• We use Git for version control.
• Our build process uses Nx + Angular CLI, with custom ts-node and Node scripts.

You don’t need to be an expert in every framework from day one, but you should be comfortable working in at least one modern SPA framework (Angular, React, or Vue) and curious to learn the others.

What challenge awaits you?

As a Bloomreach UI Developer, you will be the go‑to person for:

• Designing and implementing UI components and patterns that are reused across the Engagement app.
• Evolving our in‑house UI framework and design system so that it’s easier and faster for product and engineering teams to build consistent experiences.
• Collaborating tightly with product designers to bring new ideas to life and to keep our visual language coherent.
• Bringing a CSS architecture mindset to a large codebase so styles remain modular, predictable, and easy to refactor over time.
• Leveraging AI in your daily work — from code generation and refactoring suggestions to documentation and quick UI experiments.

Our goal is to make our Engagement app easy to use and visually pleasant for our customers. You’ll operate on three levels: bug fixing, maintenance and creation of UI components, and implementation of new designs — with a strong focus on the design‑system layer and product outcomes. Having a great developer experience is also something we’re serious about.

Your job will be to:

1. Expand & maintain our UI design system and components library
2. Improve & maintain our in‑house SCSS framework
3. Implement new designs and product experiences

a. Expand & maintain our UI design system and components library

• Understand how our components work under the hood and enable frontend developers to build advanced interfaces using our framework.
• Design and implement reusable UI primitives (tokens, layout primitives, form controls) and higher‑level components in a way that can be applied across Angular applications.
• Revise code of the components frequently and keep up with the latest possibilities of CSS (e.g. container queries, cascade layers, new color functions) and how they affect our architecture.
• Ensure cross‑browser compatibility (modern browsers only) and good accessibility practices.
• Shape visual representation and behavior together with designers, acting as a technical partner in design reviews.
• Maintain and improve our internal “Showcase”/component gallery as a single source of truth for our design system (documentation, usage examples).

b. Improve & maintain our in‑house SCSS framework

• Extend and update core functions, mixins, and utilities that help us write styles efficiently and keep them easy to reason about.
• Evolve our CSS architecture (e.g. layers, naming conventions, design tokens, theming approach) to keep the system scalable as the product grows.
• Identify and remove legacy styles, dead code, and inconsistencies, focusing on performance and maintainability.
• Use AI‑powered tooling where it makes sense (code search, refactor suggestions, documentation summaries) to speed up this work.

c. Implement new designs and product experiences

• Update existing screens to match the latest design specs and interaction patterns.
• Research the best strategies for comprehensive changes — understanding how components are reused across screens and in different contexts — and propose pragmatic rollout plans.
• Work closely with product managers and designers to make trade‑offs that balance UX quality, technical feasibility, and delivery timelines.
• Ensure that visual and structural changes don’t introduce any bugs — partnering with QA and using tools (including AI‑assisted testing where appropriate) to catch regressions early.

Your success story will be:

• In 30 days, you will learn how our methodology works, ship your first UI bug fixes, and start contributing to small improvements in our design system.
• In 90 days, you will understand how our core components and SCSS framework work, co‑own at least one part of the design system, and support other frontend developers on a sprint project — including reviewing their usage of UI components and any styling or template changes.
• In 180 days, you will be able to tackle most tasks on your own, question and challenge designs with confidence, propose and drive improvements to our UI architecture, and help shape the future roadmap of our design system.

You have the following experience and qualities:

1. Professional — CSS, Sass, working with browser,  programming skills, Git, knowledge of Angular (optionally React or Vue), familiarity with web components is an advantage.
2. Personal — team player, honesty, responsibility, motivation

Professional experience

• Strong CSS and Sass skills — CSS will be your bread and butter and for a smooth experience it’s good if you know: selector types and specificity, fonts, relative units, box sizing, positioning, flexbox, grid, responsiveness, pseudo elements, animations, and their performance impacts.
• Experience with writing maintainable, modular, component‑based CSS
• Experience building or significantly contributing to a design system or UI component library (tokens, components, documentation, versioning, rollout).
• Comfortable with intermediate programming in JavaScript or TypeScript — structuring code, working with asynchronous logic, and debugging — and using that knowledge to implement or adjust UI behavior in Angular/React/Vue components.
• Hands‑on experience with at least one modern frontend framework (Angular, React, or Vue). Curiosity to apply design‑system thinking across frameworks is a plus.
• Familiarity with Git and standard workflows (branching, pull/merge requests, code review).
• A genuine passion for modern CSS and web UI, keeping an eye on new specs and browser capabilities and knowing when (and when not) to use them.
• An architecture mindset when it comes to stylesheets: you think in layers, dependencies, and long‑term maintainability, not just “what works right now”.
• Openness to leveraging AI in the development process — for example, using AI tools to explore refactoring options, generate variants, or support documentation — while still owning the final quality of the solution.

Personal qualities

• Product‑oriented mindset: you care about the problem we’re solving and the impact on the user, not only the implementation details.
• Ability to work in a team where we value diversity and open‑mindedness.
• Willingness to discuss problems honestly, keep focus on what’s important, and look for outcomes, not blame.
• Sense of ownership and responsibility — you follow through on what you start and care about the quality of your work in production.
• Motivation to grow: you enjoy your craft, seek feedback, and look for ways to improve both the product and the system you’re building on.

Excited? Join us and transform the future of commerce experiences.

#LI-KP1

We want you to join us full-time as a Staff Backend Engineer. You will work remotely first (from Central & Eastern Europe), but we are more than happy to meet you in our nice offices in Bratislava, Brno or Prague. For candidates at the P4 / Staff Software Engineer level, starting monthly compensation begins at 4 400 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included.

The Pulsar team builds platform and admin services that all Bloomreach SaaS products rely on. In your first year, you’ll develop features used by thousands of customers and deliver fast, consistent, and high-energy (but low-drama) product releases. We all work remotely from the US, India, and Europe.

Examples of our services:  

• Central services to publish Model Context Protocol APIs for external AI agents
• Multi-product customer provisioning and licensing orchestration
• Integrated user management, authentication, and authorization
• High-availability, centralized configuration management
• Tools for new customer integration & product tuning

Why you’ll love your work

• Technical Variety: Cloud-native services with diverse tech stacks offer learning and experimentation.
• Impact: Our services are used by customers and teams across the company – engineers, product managers, services consultants, and even executives.
• Autonomy: Senior engineers design, build, and deploy complete projects and are experts in our services.
• Teamwork: Your teammates are also high performers and will support you with learning our systems, brainstorming & design review, and running high-reliability production deployments.

Your typical day

Your day begins with review of a teammate’s GitLab merge request. It has already been reviewed by Claude, but you’ll think deeply about the business problem, alternative solutions, and future needs. 

Then you spend a few undisturbed hours “in the flow,” working on a technical design doc for a new project. Once you’ve completed a draft, you send it to another teammate for feedback, then decide to jump on a Zoom call to talk it over and refine it.

After lunch, you join the team for a quick standup via Zoom to discuss current work and the plan for the next few days. You mention that you’re finishing up a small improvement to improve the logging and alerting for one of our components that requires high uptime. A teammate offers to review your changes. It has some complex behavior, so you walk through it together and make a few improvements.

Soon, the new unit tests are green. With a few keystrokes, you create a merge request, spin up a dev instance, and deploy your change. After some quick smoke tests, you and your teammate decide to merge the change. Your improvement will be deployed in production with the release in a few days.

Next, you respond to a Slack request for advice on integrating with the authorization API. You draft a short tech design doc that links the API spec, code examples, and optimization tips. You discuss it on the team channel, and your manager forwards it to another team that’s also starting a new service.

Your day ends with a chat with a product manager about questions that came up while drafting the tech design. With their feedback, you refine the proposal to deliver the core feature more quickly, while the product manager will work with customers and decide how much more to invest. Tomorrow, you’ll break down the tasks in Jira and decide what you’ll complete yourself and what you’ll ask teammates to complete….

Our tech stack(s)

• Languages & Frameworks: Java / Spring, Python, Go – occasionally TypeScript, Angular, React
• Data: Postgres, MySQL, MongoDB, Redis, Kafka
• Cloud: AWS & GCP (RDS, Redshift, Pub/Sub, BigTable, DataFlow, etc), Docker & Kubernetes (via EKS & GKE)
• Tools: Jira, Gitlab CI/CD, Prometheus, Grafana, OpenSearch

Our expectations

• Flexible intelligence: Stretch your technical skills in a distributed cloud environment, making changes across systems built with various tech stacks to meet challenging requirements.
• Drive: Rapidly ship product improvements that affect thousands of users in a low-drama and high-trust way. 
• Security & Reliability: Balance risks and benefits of change with discipline and agility.
• Communication: Organize technical work and maintain trust/respect across multiple teams, geographic regions, and departments.
• Knowledge Sharing: Proactively share expertise, guide less experienced team members, and document work for long-term sustainability.

The ideal candidate’s experience

• Active user of AI coding tools such as Cursor and Claude Code
• Developed backend services with Python using a variety of data systems (5+ years)
• Understands web security principles (OWASP), Authentication, and Authorization practices
• Designed APIs for a SaaS product
• Operated services in production on public cloud infrastructure
• Some experience with Java / Spring or Go
• Exposure to web frontend development (Angular / React)

#LI-KP1

Are you looking for a cutting-edge tech stack to work with and to make an impact on a daily basis? We are currently forming a team of software engineers dedicated to developing and maintaining Web & Mobile SDKs for our customers, and we are looking for a new colleague to join as a Senior Software Engineer for JS Web SDK & React Native Mobile SDK (Engagement). For candidates at the P3 / Senior Software Engineer level, starting monthly compensation begins at 3700 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included. Working in one of our Central European offices (Brno, Prague, Bratislava) or from home on a full-time basis, you‘ll become a core part of the Engineering Team.

What challenge awaits you?

As a Senior Software Engineer for JS Web SDK & React Native Mobile SDK at our company, you'll encounter exciting, high-end technical challenges. You'll be part of a team that delivers innovative features, enabling our clients to build powerful mobile applications using Web & Mobile SDKs on platforms of their preference (Web: TypeScript, Mobile Natives: Android, iOS, Mobile Wrappers: React Native, Flutter). These SDKs track user behavior and provide capabilities to deliver personalized content. You’ll work on implementing and extending components that provide features like push notifications, in-app messaging, tracking, dynamic rendering, and many more. We will encourage you to explore and engage with various parts of our platform. Your primary focus will be in JavaScript / TypeScript for Web & Mobile React Native SDK Wrapper.

Your job will be to:

1. Design & Deliver new features
2. Ensure quality and compatibility
3. Support and Maintain owned components

a. Design & Deliver new features

• Translate business requirements for product features into detailed technical specifications and comprehensive design documents.
• Define and develop new features with a strong emphasis on quality, usability, and performance.
• Build, publish and monitor new versions of React Native Platform, ensuring seamless adoption.
• Stay updated with the latest industry trends and technologies to incorporate best practices into the development process.

b. Ensure quality and compatibility

• Implement robust testing, and validation processes to ensure the reliability and stability of the new features.
• Measure and tune client-side performance of our features.
• Continuously improve the technical quality and ease of use of Web & React Native SDKs.
• Make sure we utilize all the mobile technologies in the best way - ensuring our Web & React Native SDKs are functional, secure and high performance. 
• Conduct regular code reviews and use static code analysis tools to maintain high code quality.
• Collaborate with QA engineers to develop comprehensive test plans and automated tests. 

c. Support and Maintain owned components

• Provide ongoing support and maintenance for existing features, including troubleshooting issues, fixing bugs, and implementing enhancements.
• Support our client-facing colleagues in the investigation of possible issues (L3 support).
• Document code including guides, configuration instructions, feature descriptions, design decisions, and operational procedures to facilitate ongoing maintenance and knowledge sharing.
• Utilize feedback from users and stakeholders to continually improve the functionality and usability of Mobile SDKs.

What tech stack do we have for you?

• Web JavaScript / TypeScript SDK: JavaScript, TypeScript, HTML/CSS, Mustache, Jest, Karma, Docker
• React Native Wrapper Mobile SDK (Android & iOS): React Native, JavaScript & TypeScript, CocoaPods, Yarn, npm, Babel, Jest
• Common Tech Stack: Software & Tools - Grafana, Sentry, GitHub, GitLab, Jira, Productboard

You will be developing new features and maintaining the codebase to ensure compatibility with different versions. Therefore, you should be passionate about new features in mobile technologies, and be keen to investigate how personalization may work in the context of today's privacy-focused digital world.

Both Web & Mobile SDKs are being integrated with internal APIs written in Golang & Python, which run on top of Kubernetes and Google Cloud. While these won’t be your primary focus, we highly value your involvement in other parts of the platform.

Your success story will be:

• In 30 Days: Successfully onboard, get familiar with Web JavaScript / TypeScript & React Native Mobile SDKs, 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 web & mobile development, knowledge of wrappers, mobile ecosystem, system design, and maintenance.
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 the area of web & mobile development, which is essential for building SDKs for web browsers and React Native mobile applications.
• Overview of technologies and programming languages used for wrapping mobile applications.
• Solid understanding of the mobile development ecosystem. An experience in building libraries or SDKs is an advantage. Familiarity with the build and publishing of mobile applications.
• Experience with dynamic rendering would be a valued asset.
• Experience with version control systems (Git) and CI/CD pipelines. We utilize Git for code management and CI/CD pipelines for efficient development and deployment.

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.
• A commitment to delivering high-quality work and a dedication to continuous improvement.

#LI-KP1

Bloomreach powers digital commerce with AI-native solutions for marketing automation, search and merchandising, conversational shopping assistance, and headless content management—driven by unified customer and product data for personalization and measurable business impact. We're expanding with new ideas and modules.

For example, our Autonomous marketing solution, you can get more info about our vision here -  https://visit.bloomreach.com/innovation-fest-2025-after

Join the Engineering team working on an Autonomous marketing solution to help shape the future of autonomous marketing. As a Software Engineer, you'll build and deploy agentic AI systems with real-world impact, collaborating alongside innovators redefining how brands engage millions of customers.

If you're passionate about prompt and context engineering, driven by impact, and want to be a key part of defining the industry's future, Bloomreach wants to hear from you. This role focuses on solving real-world problems with production-ready agentic systems, not just internal experimentation.

What challenge awaits you?

Step into the forefront of autonomous marketing innovation. As a member of the Engineering team, you’ll take on the challenge of designing, developing, and scaling production-grade agentic AI systems that are redefining how brands connect with millions of customers in real time.

You will tackle the complexities of architecting and orchestrating powerful AI agents—leveraging the latest in large language models, prompt and context engineering, and agentic workflows—to drive automated, personalized engagement across diverse digital channels. Your work involves shaping the context and memory that empowers our agents to make smart, data-driven decisions at scale.

Collaboration is key: you’ll partner with fellow engineers, data scientists, and product leaders to integrate agentic intelligence into our platform, ensuring seamless alignment with customer data, analytics, and channel experiences. This is a unique opportunity to apply your technical expertise in prompt and context engineering, contribute to an ambitious product vision, and help define the future of the marketing industry through autonomous, AI-driven solutions.

What will you do?

• Design and deliver meaningful, production-grade features end-to-end, always anchored in clear user needs and measurable business value. You’ll translate high-level vision and customer requirements into actionable plans, robust code, and scalable solutions.
• Define technical specifications directly from business goals and work collaboratively with product managers, engineers, QAs, and data scientists to ensure that every build solves a concrete problem for users.
• Build and ship APIs and backend components that drive agentic workflows and seamless AI-powered automation—ensuring performance, security, and maintainability at scale.
• Integrate and operationalize state-of-the-art GenAI, LLMs, and orchestration frameworks so your agents take real business actions in production environments, not just in proofs-of-concept.
• Take full accountability for the robustness of your solutions: developing comprehensive test suites, rigorous evaluation frameworks (including agent- and system-level benchmarking), and monitoring strategies to ensure reliability and measurable outcomes. You'll evaluate both automated agentic behaviors and overall system performance to guarantee these systems perform as intended in live scenarios.
• Apply your full stack of skills—ranging from software engineering and prompt/context design to real-world LLM/GenAI operations and DevOps best practices. You’ll make agentic systems functional, maintainable, and resilient from dev environments through to production and post-launch.
• Embrace and drive an iterative, agile development process: push early integrations, prototype quickly, validate solutions with internal customers and early adopters, solve problems collaboratively as they arise, and continually refine your work based on real feedback. You will balance near-term impact with a bold, forward-thinking product vision that anticipates the needs of tomorrow’s marketers.
• Support, maintain, and evolve your components post-launch, responding to customer needs, monitoring real-world performance, and delivering ongoing improvements in response to user and business insight.
• Document your systems and learnings to enable efficient collaboration within the team and fast, informed future iteration.

What is required for success in this role?

• A holistic engineering mindset oriented toward product excellence and impact
• Hands-on expertise in building, testing, and shipping GenAI/LLM-based agentic systems
• Practical proficiency across software engineering, applied LLM development, and DevOps practices, ensuring real-world reliability—not just theoretical capability
• Comfort with fast-paced, iterative development and a user-validated, visionary approach to technology and business outcomes

What technologies and tools does the Autonomous Marketing team work with?

• Programming languages - Python/FastAPI on Backend, TypeScript/Angular on UI 
• AI-Agentic tech stack - Gemini, PydanticAI, OpenAI, Phoenix Arize
• Google Cloud Platform services - VertexAI, GKE, BigQuery
• Data Storage and Processing - PostgreSQL, MongoDB

Experience and Qualities We Seek

We're looking for engineers who exemplify a product-driven, hands-on mindset and are skilled at translating visionary ideas into reliable, scalable, and impactful AI solutions for production environments. The ideal candidate is passionate about building GenAI/LLM-based agentic systems that not only work in theory but deliver measurable impact for users and businesses.

Professional experience

• Hands-on experience designing, evaluating, and maintaining production-grade AI agentic systems—with a proven record of applying GenAI, LLMs, and agent orchestration in real-world scenarios.
• Proven proficiency in Python engineering and modern backend development—including data processing, API development, and creation of robust microservice architectures. Experience with prompt engineering and context/memory design for LLM-powered systems is highly valued.
• Operational knowledge across the full stack: solid grasp of software engineering principles, LLM/GenAI application development, cloud operations (especially in GCP environments), CI/CD, and DevOps practices. You know how to build, deploy, monitor, and scale complex agentic systems in production.
• Expertise in evaluation methodologies: you develop comprehensive test suites and system-level benchmarks, ensuring the functional and behavioral quality of autonomous agents and their integration into broader business workflows.
• Experience collaborating with product managers, data scientists, and UX/UI engineers to align technical solutions tightly with business goals and user needs—demonstrating a track record of delivering features that ship, iterate, and create value for customers.

Personal qualities

• Strong initiative, ownership, and an agile problem-solving approach: you thrive in fast-paced, iterative environments, embrace feedback from early adopters, and adapt solutions quickly.
• Excellent communication and collaboration skills, with a demonstrated ability to work cross-functionally in diverse teams and articulate complex technical concepts to non-technical partners.
• A commitment to excellence: you are dedicated to continuous learning, knowledge sharing, and raising the bar for both technology and product impact.
• Genuine excitement for pushing boundaries: you stay curious about emerging AI and agentic technologies, and are excited to help define the future of marketing through creative, high-impact engineering.

Excited? Join us and transform the future of commerce experiences.

Bloomreach powers digital commerce with AI-native solutions for marketing automation, search and merchandising, conversational shopping assistance, and headless content management—driven by unified customer and product data for personalization and measurable business impact. We're expanding with new ideas and modules.

For example, our Autonomous marketing solution, you can get more info about our vision here -  https://visit.bloomreach.com/innovation-fest-2025-after

Join the Engineering team working on an Autonomous marketing solution to help shape the future of autonomous marketing. As a Software Engineer, you'll build and deploy agentic AI systems with real-world impact, collaborating alongside innovators redefining how brands engage millions of customers.

For candidates at the P3 / Senior Software Engineer level, starting monthly compensation begins at 3700 € gross, with the final offer tailored for each candidate based on their skills and experience(, and location). Stock options and a comprehensive benefits package are also included.

If you're passionate about prompt and context engineering, driven by impact, and want to be a key part of defining the industry's future, Bloomreach wants to hear from you. This role focuses on solving real-world problems with production-ready agentic systems, not just internal experimentation.

What challenge awaits you?

Step into the forefront of autonomous marketing innovation. As a member of the Engineering team, you’ll take on the challenge of designing, developing, and scaling production-grade agentic AI systems that are redefining how brands connect with millions of customers in real time.

You will tackle the complexities of architecting and orchestrating powerful AI agents—leveraging the latest in large language models, prompt and context engineering, and agentic workflows—to drive automated, personalized engagement across diverse digital channels. Your work involves shaping the context and memory that empowers our agents to make smart, data-driven decisions at scale.

Collaboration is key: you’ll partner with fellow engineers, data scientists, and product leaders to integrate agentic intelligence into our platform, ensuring seamless alignment with customer data, analytics, and channel experiences. This is a unique opportunity to apply your technical expertise in prompt and context engineering, contribute to an ambitious product vision, and help define the future of the marketing industry through autonomous, AI-driven solutions.

What will you do?

• Design and deliver meaningful, production-grade features end-to-end, always anchored in clear user needs and measurable business value. You’ll translate high-level vision and customer requirements into actionable plans, robust code, and scalable solutions.
• Define technical specifications directly from business goals and work collaboratively with product managers, engineers, QAs, and data scientists to ensure that every build solves a concrete problem for users.
• Build and ship APIs and backend components that drive agentic workflows and seamless AI-powered automation—ensuring performance, security, and maintainability at scale.
• Integrate and operationalize state-of-the-art GenAI, LLMs, and orchestration frameworks so your agents take real business actions in production environments, not just in proofs-of-concept.
• Take full accountability for the robustness of your solutions: developing comprehensive test suites, rigorous evaluation frameworks (including agent- and system-level benchmarking), and monitoring strategies to ensure reliability and measurable outcomes. You'll evaluate both automated agentic behaviors and overall system performance to guarantee these systems perform as intended in live scenarios.
• Apply your full stack of skills—ranging from software engineering and prompt/context design to real-world LLM/GenAI operations and DevOps best practices. You’ll make agentic systems functional, maintainable, and resilient from dev environments through to production and post-launch.
• Embrace and drive an iterative, agile development process: push early integrations, prototype quickly, validate solutions with internal customers and early adopters, solve problems collaboratively as they arise, and continually refine your work based on real feedback. You will balance near-term impact with a bold, forward-thinking product vision that anticipates the needs of tomorrow’s marketers.
• Support, maintain, and evolve your components post-launch, responding to customer needs, monitoring real-world performance, and delivering ongoing improvements in response to user and business insight.
• Document your systems and learnings to enable efficient collaboration within the team and fast, informed future iteration.

What is required for success in this role?

• A holistic engineering mindset oriented toward product excellence and impact
• Hands-on expertise in building, testing, and shipping GenAI/LLM-based agentic systems
• Practical proficiency across software engineering, applied LLM development, and DevOps practices, ensuring real-world reliability—not just theoretical capability
• Comfort with fast-paced, iterative development and a user-validated, visionary approach to technology and business outcomes

What technologies and tools does the Autonomous Marketing team work with?

• Programming languages - Python/FastAPI on Backend, TypeScript/Angular on UI 
• AI-Agentic tech stack - Gemini, PydanticAI, OpenAI, Phoenix Arize
• Google Cloud Platform services - VertexAI, GKE, BigQuery
• Data Storage and Processing - PostgreSQL, MongoDB

Experience and Qualities We Seek

We're looking for engineers who exemplify a product-driven, hands-on mindset and are skilled at translating visionary ideas into reliable, scalable, and impactful AI solutions for production environments. The ideal candidate is passionate about building GenAI/LLM-based agentic systems that not only work in theory but deliver measurable impact for users and businesses.

Professional experience

• Hands-on experience designing, evaluating, and maintaining production-grade AI agentic systems—with a proven record of applying GenAI, LLMs, and agent orchestration in real-world scenarios.
• Proven proficiency in Python engineering and modern backend development—including data processing, API development, and creation of robust microservice architectures. Experience with prompt engineering and context/memory design for LLM-powered systems is highly valued.
• Operational knowledge across the full stack: solid grasp of software engineering principles, LLM/GenAI application development, cloud operations (especially in GCP environments), CI/CD, and DevOps practices. You know how to build, deploy, monitor, and scale complex agentic systems in production.
• Expertise in evaluation methodologies: you develop comprehensive test suites and system-level benchmarks, ensuring the functional and behavioral quality of autonomous agents and their integration into broader business workflows.
• Experience collaborating with product managers, data scientists, and UX/UI engineers to align technical solutions tightly with business goals and user needs—demonstrating a track record of delivering features that ship, iterate, and create value for customers.

Personal qualities

• Strong initiative, ownership, and an agile problem-solving approach: you thrive in fast-paced, iterative environments, embrace feedback from early adopters, and adapt solutions quickly.
• Excellent communication and collaboration skills, with a demonstrated ability to work cross-functionally in diverse teams and articulate complex technical concepts to non-technical partners.
• A commitment to excellence: you are dedicated to continuous learning, knowledge sharing, and raising the bar for both technology and product impact.
• Genuine excitement for pushing boundaries: you stay curious about emerging AI and agentic technologies, and are excited to help define the future of marketing through creative, high-impact engineering.

Excited? Join us and transform the future of commerce experiences.

We want you to join us full-time as a Software Backend Engineer (medior level). You will work remotely first (from Central & Eastern Europe), but we are more than happy to meet you in our nice offices in Bratislava, Brno or Prague. For candidates at the P2 / Software Engineer II level, starting monthly compensation begins at 2 900 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included.

The Pulsar team builds platform and admin services that all Bloomreach SaaS products rely on. In your first year, you’ll develop features used by thousands of customers and deliver fast, consistent, and high-energy (but low-drama) product releases. We all work remotely from the US, India, and Europe.

Examples of our services:  

• Central services to publish Model Context Protocol APIs for external AI agents
• Multi-product customer provisioning and licensing orchestration
• Integrated user management, authentication, and authorization
• High-availability, centralized configuration management
• Tools for new customer integration & product tuning

Why you’ll love your work

• Technical Variety: Cloud-native services with diverse tech stacks offer learning and experimentation.
• Impact: Our services are used by customers and teams across the company – engineers, product managers, services consultants, and even executives.
• Autonomy: Senior engineers design, build, and deploy complete projects and are experts in our services.
• Teamwork: Your teammates are also high performers and will support you with learning our systems, brainstorming & design review, and running high-reliability production deployments.

Your typical day

Your day begins with review of a US teammate’s GitLab merge request. It has already been reviewed by Claude, but you’ll think deeply about the business problem, alternative solutions, and future needs. Then you spend a few undisturbed hours “in the flow,” working on changes to the user management APIs to support a UX improvement that a designer suggested yesterday. Soon, all your new unit tests are green. With a few keystrokes, you create a merge request, spin up a dev instance, and deploy your change. After some quick smoke tests, you send a link to a frontend engineer who is collaborating with our team.

After lunch, you join your team for a quick standup via Zoom to discuss current work and the plan for the next few days. A teammate offers to review your new code. It has some complex behavior, so you walk through it together and make a few improvements.

The frontend engineer confirms over Slack that your API changes provide what they need. You merge it, which automatically retests and deploys to a staging environment. The UI changes and a few more integration tests from the QA team will be merged in a day or two. Your improvement will be in production in a few weeks.

Next, you respond to a Slack request for advice on integrating with the authorization API. You draft a short tech design doc that links the API spec, code examples, and optimization tips. You discuss it on the team channel, and your manager forwards it to another team that’s also starting a new service.

Your day ends with a quick chat with a product manager about another idea….

Our tech stack(s)

• Languages & Frameworks: Java / Spring, Python, Go – occasionally TypeScript, Angular, React
• Data: Postgres, MySQL, MongoDB, Redis, Kafka
• Cloud: AWS & GCP (RDS, Redshift, Pub/Sub, BigTable, DataFlow, etc), Docker & Kubernetes (via EKS & GKE)
• Tools: Jira, Gitlab CI/CD, Prometheus, Grafana, OpenSearch

Our expectations

• Flexible intelligence: Stretch your technical skills in a distributed cloud environment, making changes across systems built with various tech stacks to meet challenging requirements.
• Drive: Rapidly ship product improvements that affect thousands of users in a low-drama and high-trust way. 
• Security & Reliability: Balance risks and benefits of change with discipline and agility.
• Communication: Organize technical work and maintain trust/respect across multiple teams, geographic regions, and departments.
• Knowledge Sharing: Proactively share expertise, guide less experienced team members, and document work for long-term sustainability.

The ideal candidate’s experience

• Active user of AI coding tools such as Cursor and Claude Code
• Developed backend services with Python using a variety of data systems (3+ years)
• Understands web security principles (OWASP), Authentication, and Authorization practices
• Designed APIs for a SaaS product
• Operated services in production on public cloud infrastructure
• Some experience with Java / Spring or Go
• Exposure to web frontend development (Angular / React)

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