AI Engineer

Software Mind

. Design, build, and deploy AI and Generative AI solutions, including LLM-powered applications, chatbots, and intelligent systems .

Posted 10/16/2026full-timeRemote • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI and Generative AI solutions, with a strong focus on LLM-powered applications and prompt engineering strategies. Proficient in integrating AI models into cloud environments while ensuring adherence to AI safety and responsible practices.

Highest-signal resume keywords

Python For AI Application DevelopmentLLMs And Generative AIPrompt EngineeringRAG ArchitecturesCloud Environments (AWS, Azure, GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Application DevelopmentPrompt EngineeringRAG Pipeline DevelopmentAI Automation SolutionsAI Model IntegrationVector DatabasesAI Tools EvaluationProduction-Grade DeploymentsChatbot DevelopmentIntelligent Systems Design

Soft Skills

CollaborationBusiness UnderstandingCommunication

Tools & Technologies

LangChainLangGraphLlamaIndexQdrantPineconeWeaviate

Industry Keywords

AI SafetyResponsible AI PracticesGenerative AI SolutionsLLM-Powered ApplicationsCloud-Based Applications

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Design, build, and deploy AI and Generative AI solutions, including LLM-powered applications, chatbots, and intelligent systems
Develop and optimize prompt engineering strategies, including evaluation and iteration
Build RAG pipelines using vector databases
Integrate LLMs and AI models into cloud-based applications and APIs
Implement agent-based workflows and AI automation solutions
Research, evaluate, and apply new AI tools, models, and frameworks
Collaborate closely with clients, combining technical expertise with business understanding
Deliver real business value through modern AI-driven solutions across rapid prototypes and production-grade deployments

Requirements

What you’ll need

Strong experience with Python for AI application development
Hands-on experience with LLMs and Generative AI (e.g., OpenAI, open-source models)
Practical experience with prompt engineering in production use cases
Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks
Experience designing and implementing RAG architectures and working with vector databases (e.g., Qdrant, Pinecone, Weaviate)
Experience building and deploying AI-powered applications in cloud environments (AWS, Azure, or GCP)
Understanding of AI safety, guardrails, and responsible AI practices
Ability to speak and write in English

Benefits

Comp & perks

Flexible and remote cooperation options
International projects with leading global clients
Travels related to international projects
Non-corporate atmosphere
Access to language classes
Access to knowledge-sharing initiatives
Access to private healthcare and life insurance
Access to multisport card