FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI agents, integrating LLMs, and developing scalable architectures for data-driven systems. Proficient in Java, Spring Boot, and Docker, with strong knowledge of AI-related technologies and multilingual capabilities.
Highest-signal resume keywords
JavaSpring BootAI Integration (LLMs)AWS BedrockPolish (C1)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Agent DesignMulti-Step WorkflowsRAG-Based Decision MakingCode RefactoringPrompt EngineeringVector DatabasesEmbeddings KnowledgeModel Context Protocol
Tools & Technologies
DockerSpring AILangChain4jOpenAI APIAnthropicMilvusPineconeQdrantElasticsearch
Industry Keywords
Intelligent AutomationEvent-Driven SystemsKnowledge SharingArchitecture Discussions
Tech Stack
Tools & technologiesAWSDockerElasticSearchJavaSpringSpring BootSpringBoot
About the role
Key responsibilities & impact- Designing and implementing AI agents with reasoning pipelines (e.g., multi-step workflows, RAG-based decision making)
- Integrating AI capabilities such as LLM-powered services, semantic search, and intelligent automation
- Contributing to scalable architectures for data- and event-driven systems
- Improving, refactoring, and maintaining existing code bases
- Designing tasks in collaboration with the Team Lead and Product Owner
- Participating in code reviews, architecture discussions, and knowledge sharing
Requirements
What you’ll need- 5+ years of professional experience
- Java
- Spring Boot
- Docker
- AI-related: Spring AI
- Experience integrating LLMs into applications (OpenAI API, Anthropic, local inference, etc.)
- Understanding of vector databases (Milvus, Pinecone, Qdrant, Elasticsearch)
- AWS Bedrock
- LangChain4j
- Knowledge of embeddings, prompt engineering basics, and retrieval-augmented generation (RAG)
- Understanding Model Context Protocol
- Polish – C1 (required)
- English – C1/B2+ (required)
Benefits
Comp & perks- Professional development
- Collaboration with the Team Lead and Product Owner
