Znaleziono ~14 ofert w 0.207s, strona 1 z 1
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23 520 - 28 560 zł

Software Engineer

@PRETIUS SOFTWARE SP. Z O.O. Kotlin Spring Framework MongoDB Apache Spark Apache Beam BigQuery Prompt Engineering AI
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Prompt Engineer / LLM Specialist

@emagine Polska LLM Prompt Engineering NLP Machine Learning Python SQL CI/CD Azure Google Cloud Platform
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13 000 - 19 000 zł

Mid AI Engineer

@AI Clearing Python Prompt Engineering Git rag LLM Langchain Langgraph Docker LangFuse Computer Vision
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AI Engineer (R&D, AI Agents)

@Base. AI LLM Prompt Engineering MCP tool calling Redis SQL NoSQL
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Junior Software Developer

@Nsure.com .NET C# LLM Prompt Engineering Twilio Azure DevOps
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15 000 - 25 000 zł

AI Solutions Engineer

@Massive Pixel Creation Python RESTful API pytest OpenAI APIs Langgraph Prompt Engineering Vector Database Postman Cursor
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23 520 - 28 560 zł

Software Engineer

@Pretius Spring Kotlin MongoDB Apache Spark BigQuery Apache Beam AI Prompt Engineering
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18 000 - 30 000 zł

AI Engineer

@in4ge sp. z o.o. Python Langchain Pandas Langgraph Prompt Engineering rag Azure LLM
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20 000 - 26 000 zł

AI Engineer

@Link Group Python Azure AI Prompt Engineering Langgraph LlamaIndex fastapi Langchain rag
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AI Engineer - Automation & Innovation Department

@T-Mobile Polska S.A. LLM GenAI RAG Prompt Engineering
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33 600 zł

Prompt Engineer

@emagine Polska CI/CD Machine Learning Azure SQL Deep Learning Python LLM AI GitHub NLP
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12 200 - 20 300 zł

Prompt Engineer

@Ringier Axel Springer Tech JavaScript LLM OpenAI
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LLM / Prompt Engineer

@emagine Polska SQL Python Google Cloud Platform Azure CI/CD GitHub
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DevOps Engineer (Observability Focus)

@KUBO DevOps AWS Prometheus Loki', 'Grafana', 'Tempo', 'Mimir' (LGTM stack) - Note: This is a common grouping but not a single tool, so listed as a descriptive string for clarity within tags if needed, or individual tags if preferred for strictness. For this schema, a descriptive string is used as it represents a suite of tools often used together for observability. If strict adherence to single tools is required, 'Grafana', 'Loki', 'Prometheus', 'Tempo', 'Mimir' would be separate tags. Given the prompt's phrasing, this combined tag reflects the intent. If individual tools are preferred, please specify. For now, using the prompt's phrasing as a tag for context. Let's refine this to individual tags for better machine readability as per typical schema practices. Re-evaluating: The prompt lists 'LGTM stack (Loki, Grafana, Tempo, Mimir)'. It's best to tag the individual components if the schema allows for multiple tags, which it does. So, individual tags are better. Let's list them individually. However, the prompt also mentions Prometheus separately. So, the list should be: Prometheus, Loki, Grafana, Tempo, Mimir, OpenTelemetry, AWS X-Ray, CloudWatch, ADOT. Let's ensure all mentioned technologies are captured. The prompt also mentions IaC tools like Terraform or CloudFormation, and CI/CD tools like GitHub Actions, GitLab CI, or Azure DevOps, Docker, Kubernetes. These should also be included as technology tags. The main focus is Observability, so that's the main_technology. The rest are supporting technologies. Let's compile the full list of relevant technologies from the job description for the tags. Technologies mentioned: Prometheus, LGTM stack (Loki, Grafana, Tempo, Mimir), OpenTelemetry, AWS X-Ray, CloudWatch, ADOT, Terraform, CloudFormation, GitHub Actions, GitLab CI, Azure DevOps, Docker, Kubernetes. The core focus is Observability, so that's the main_technology. The tags should encompass the specific tools and concepts. Let's refine the tags to be specific and actionable. The prompt asks for 'technology_tags'. It's best to list the specific tools and concepts. Let's re-evaluate the 'LGTM stack' part. Since it's a collection, it's better to list the individual components if the schema allows for multiple tags, which it does. So, 'Grafana', 'Loki', 'Tempo', 'Mimir' should be separate tags. Prometheus is also mentioned. OpenTelemetry, AWS X-Ray, CloudWatch, ADOT are also mentioned. IaC tools: Terraform, CloudFormation. CI/CD tools: GitHub Actions, GitLab CI, Azure DevOps. Containerization: Docker, Kubernetes. The main_technology is clearly 'Observability'. The tags should cover the specific technologies. Let's make sure the tags are concise and representative. The prompt mentions