Blaudirekt·1 month ago
1 month ago
Senior Golang Engineer (AI Platform)
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What you'll do
- 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.
What they're looking for
- 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.
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.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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Benefits & Perks
Company
Blaudirekt
Remote (Poland)
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