Senior Golang Engineer (AI Platform)

JobCubby; Poland; On-site; PLN 388,000 - 603,000; Full time

Benefits offered by this job

Private healthcare

Cafeteria system

Training budget €800 per year

Integration meetings

Referral Bonus

Startup atmosphere

No dress code

Flexible hours

Flexible working format - remote or hy

Modern office, Chillout zone, standing

Job summary

blau direkt sucht einen erfahrenen Senior Golang Engineer, um das AI-Plattform-Team zu verstärken. Du tauschst Backend-Services, APIs und Plattform-Komponenten in Go aus und arbeitest an KI-gestützten Workflows mit.

Du bringst mehr als 5 Jahre Backend-Erfahrung, Architektur-Know-how und Erfahrung mit KI-Tools sowie Docker, Git und CI/CD mit. Remote oder Hybrid-Modelle werden angeboten, und das Team setzt auf kurze Feedback-Schleifen.

Qualifications

• 5+ Jahre Berufserfahrung in der Softwareentwicklung.
• Starke Backend-Entwicklung mit Go.
• Erfahrung in Produktion von Backend- oder Plattform-Systemen.
• Solides Verständnis von Softwarearchitektur und Systemdesign.
• Erfahrung mit skalierbaren, hochverfügbaren Systemen.
• Praxis mit Observability-Tools (Metriken, Logs, Tracing).
• Erfahrung mit Docker, Git und CI/CD-Pipelines.
• Praxis mit KI-Tools, LLM-APIs oder KI-gesteuerten Workflows.
• Fähigkeit, technische Initiativen von Konzept bis Produktion zu führen.
• Sehr gute Deutsch- oder Englischkenntnisse (mind. B2)

Responsibilities

• Entwerfen, bauen und Betreiben skalierbarer Backend-Services in Go.
• APIs und Integrationen zwischen internen Diensten, KI-Modellen und externen Systemen implementieren.
• KI-gestützte Workflows entwickeln, inkl. agentenbasierter Lösungen.
• Architektur von KI-Lösungen mit dem Engineering-Team umsetzen.
• Systeme mit klaren Fehlermodi, Fallbacks und guter Debugbarkeit entwerfen.
• Auf Eval, Observability, Latenz, Zuverlässigkeit und Kosten achten beim Productionisieren.
• Überwachen und Optimieren der Qualität und Betriebsleistung von KI-Funktionen.
• Technische Initiativen von Konzept bis Deployment leiten.
• Gut wartbaren, gut getesteten Go-Code schreiben.
• Teilnehmen an Code-Reviews und Architektur- Diskussionen.
• Zusammenarbeit mit Produkt, QA und anderen Engineers in kurzen Feedback-Schleifen.
• Neueste KI-Technologien pragmatisch evaluieren und einführen, wenn Nutzen vorhanden.
• Entwicklung von nutzerorientierten Frontend-Anwendungen unterstützen, falls nötig.

Skills

Go backend development

Backend architecture

AI tools experience

English proficiency (B2+)

Tools

Docker

Git

Kubernetes

CI/CD pipelines

Jira

Confluence

Sentry

Job description

Das erwartet dich

About the Role

We are looking for an experiencedSenior Golang Engineerto help us build and scale our AI platform.

This role is highly product-oriented, with a strong focus on rapid iteration, experimentation, and delivering production-ready AI functionality. You will work primarily on building backend services, APIs, and platform capabilities that power AI workflows and tools, while collaborating closely on user-facing applications where needed.

The ideal candidate combines strong backend engineering in Go, solid software architecture skills, and practical experience working with AI systems and LLM-based applications. Frontend experience with React and TypeScript is a plus, but not the core focus of the role.

We are looking for someone who can take ownership of technical initiatives, contribute architectural ideas, and drive projects from concept to production and beyond, while balancing innovation with operational pragmatism.

Deine Aufgaben

Your Responsibilities

• Design, build, and operate scalable and reliable backend services and platform components in Go.
• Build APIs and integrations between internal services, AI models, and external systems.
• Develop AI-powered workflows, including agent-based solutions where they provide clear product value.
• Contribute to the architecture of AI solutions and drive their implementation together with the engineering team.
• Design systems with clear failure modes, fallbacks, and strong debuggability.
• Consider evaluation, observability, latency, reliability, and cost when productionising LLM-based functionality.
• Monitor and improve the quality and operational performance of AI-powered features.
• Lead technical initiatives from concept through implementation, deployment, and production operation.
• Write maintainable, well-tested, and idiomatic Go code.
• Participate actively in code reviews and architectural discussions.
• Collaborate closely with Product, QA, and other engineers to deliver functionality in short feedback loops.
• Evaluate emerging AI technologies pragmatically and introduce them when they provide measurable value.
• Support the development of user-facing applications when needed, in collaboration with the wider team.

Das bringst du mit

Requirements

• 5+ years of commercial experience in software engineering.
• Strong backend development experience with Go.
• Experience developing backend or platform systems in production environments.
• Solid understanding of software architecture and system design.
• Experience building systems with high scalability, availability, and reliability requirements.
• Hands‑on experience with observability tools and practices (metrics, logs, tracing, alerting).
• Experience working with Docker, Git, and CI/CD pipelines.
• Practical experience with AI tools, LLM APIs, or AI-driven workflows.
• Ability to effectively use modern AI development tools such as Cursor or Claude.
• Proven ability to lead technical initiatives from concept to production.
• Strong communication skills and ability to work effectively in a collaborative environment.
• High level of ownership and proactive mindset.
• Fluent English (minimum B2).

Nice to have

Nice to Have

• Experience building AI agents or agent-based workflows.
• Experience with RAG architectures, vector databases, or LLM integration pipelines.
• Experience evaluating and monitoring LLM-based functionality in production.
• Experience with prompt and model versioning, fallback strategies, or multi-model solutions.
• Experience building frontend applications with React and TypeScript.
• Experience developing full-stack applications in production environments.
• Experience with RabbitMQ or other messaging technologies.
• Experience designing automated testing strategies for distributed systems.
• Knowledge of German.

Our stack

Our Tech & QA Stack

• Languages/Frameworks: Go, JS/TypeScript, PHP
• Databases: MySQL, MariaDB
• Infrastructure: UNIX, Kubernetes, RabbitMQ
• Testing: Playwright, Python, Dart, Postman
• CI/CD: GitLab CI, Code Magic
• Containerization: Docker
• AI Tools: JetBrains AI, Cursor, Gemini, Claude
• Tools: Jira, Requirements & Test Management for Jira, Confluence, Slack, IDE (freedom of choice), G‑Suite, Sentry

Engineering practices

Engineering Culture

• Product-oriented engineering with short feedback loops.
• Pragmatic architecture and idiomatic Go.
• End-to-end ownership from design through production operation.
• Automated testing, code reviews, observability, and operational readiness.
• AI-assisted development with human validation and engineering accountability.
• Continuous experimentation combined with measurable product value.

Agile workflow

Tools

Quality assurance

Das bieten wir dir

Benefits & Perks

Benefits and Perks

• Private healthcare
• Cafeteria system
• Training budget €800 per year
• Integration meetings (internal training, hackathon, integration trips, and meetings)
• Referral Bonus
• Startup atmosphere
• No dress code
• Flexible hours
• Flexible working format - remote or hybrid
• Modern office, Chillout zone, Standing desk, parking for bicycles, and a cloakroom with showers
• Regular office lunches and integration meetings
• Some international travels included

Hinweis zur Sprache

About us

We are blau direkt
Infrastructure service provider for brokerage companies in the insurance industry.
Our business is to provide infrastructure services to insurance brokers. We manage
data, documents, claims, and most importantly: communication! blau direkt facilitates
the work of over 1,400 insurance brokers and distributors.

As a technology market leader, we offer brokerage companies in the insurance industry the most modern infrastructure services and a tried and tested touchpoint management system, which fundamentally sets us apart from other broker pools in Germany.
We are just opening a new R&D center, where we build engineering teams to support the most crucial blau direkt products.

Insurance and finance are dull? Not with blau direkt!
We have made it our task to digitize and simplify the originally very paper-heavy and
time-consuming work of our partners with the help of our solutions. Together as a team,
we are driving new standards in the industry.

Talk to us and be a part of this experience from the beginning, which gives you the
unique opportunity to really make an impact on how we do things.