Senior AI Platform Engineer

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A
ALTEN PolskaAI engineering
Fully remote work (from Poland)Full-TimeSenior
Salary not disclosed
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Job Details

Languages
Fluent English - at least B2+/C1
Experience
4+ years of commercial experience in Software Engineering, Machine Learning Engineering, or AI Engineering
Required Skills
AWSDockerPythonElasticSearchKubernetesLangChain

Requirements

  • Have 4+ years of commercial experience in Software Engineering, Machine Learning Engineering, or AI Engineering.
  • Bring strong Python development skills and experience delivering production AI applications.
  • Have hands-on experience with LLMs, Agentic AI, RAG, and AI orchestration frameworks such as LangGraph, AutoGen, LangChain, or Google ADK.
  • Have experience building and evaluating AI systems using metrics, testing frameworks, and human feedback loops.
  • Understand fine-tuning techniques such as SFT, LoRA, QLoRA, or preference-based optimization.
  • Know Elasticsearch, vector databases, SQL/PostgreSQL, and enterprise search solutions.
  • Have practical experience with Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.
  • Be familiar with distributed workloads, MLOps practices, CI/CD pipelines, and production monitoring.
  • Be fluent in English at least at B2+/C1 level.

Responsibilities

  • Design, build, and operate AI/ML services powering single- and multi-agent workflows.
  • Develop production-grade GenAI solutions using agent frameworks, tool calling, memory, orchestration, and human-in-the-loop capabilities.
  • Build and optimize RAG, search, and reasoning systems using Elasticsearch, vector search, and knowledge retrieval techniques.
  • Create document intelligence pipelines for OCR, information extraction, classification, summarization, and embedding generation.
  • Adapt and optimize AI models through fine-tuning approaches such as SFT, LoRA, and QLoRA.
  • Deploy and scale AI workloads on Kubernetes and cloud platforms such as AWS, Azure, or GCP.
  • Improve reliability, quality, observability, security, and performance of AI services in production environments.
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