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Senior AI Software Engineer

Poland, Warszawa · Job Posted April 23, 2026
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Job Description

We’re looking for a Senior AI Software Engineer to help build and scale production-grade AI systems used across a global organization. This role sits at the intersection of AI, backend engineering, and cloud infrastructure, with a strong focus on turning GenAI prototypes into reliable, secure, and scalable products.

Job Responsibility

  • Take AI use cases from prototype to fully productionized solutions, ensuring reliability, scalability, and security
  • Design and build cloud-native APIs and microservices for AI applications using Python (e.g. FastAPI, gRPC)
  • Develop and maintain agent-based systems, including tool integrations and orchestration workflows
  • Build and optimize RAG pipelines and/or text-to-SQL solutions, focusing on performance, cost efficiency, and accuracy
  • Implement CI/CD pipelines and automated testing for AI services
  • Deploy and manage applications in AWS and/or Azure using modern cloud architecture patterns (containers, serverless, etc.)
  • Ensure full observability of AI systems (logging, tracing, monitoring, cost tracking)
  • Introduce and maintain evaluation frameworks, guardrails, and quality controls for AI outputs
  • Collaborate closely with Data, ML, Product, and Engineering teams to deliver robust, end-to-end solutions
  • Contribute to architecture decisions, best practices, and engineering standards across the team

Requirements

  • 5+ years of experience in software engineering, AI engineering, or ML engineering
  • Strong Python skills and experience building production-grade APIs and backend systems
  • Hands-on experience with LLMs, embeddings, and agent-based architectures
  • Experience with cloud platforms (AWS and/or Azure) and modern deployment patterns
  • Solid understanding of CI/CD, testing, and infrastructure as code
  • Experience with monitoring, logging, and system reliability in production environments
  • Good understanding of performance, scalability, and cost trade-offs in AI systems
  • Strong problem-solving skills and ability to work in a cross-functional environment
  • Fluent English

Nice to have

  • Experience with frameworks like LangChain, LangGraph, or similar
  • Familiarity with RAG, vector databases, or search systems
  • Experience with Kubernetes, Terraform, or advanced cloud setups
  • Exposure to tools like Langfuse, LangSmith, MLflow, or OpenTelemetry

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