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◆ 6/10
aidevtechfintech
About this role
Join SberSpasibo as a Java Developer to work on a generative AI platform. Seeking a Middle/Senior backend developer with deep understanding of LLM mechanics and experience in building RAG pipelines.
Description
We are developing a platform that integrates generative AI capabilities.
Responsibilities
Responsibilities
- Design and develop microservice architecture on Java 17+ using Spring Boot (MVC, Data JPA, Security)
- Build Retrieval-Augmented Generation (RAG) pipelines: from parsing raw data to embedding indexing
- Develop and support vector databases Qdrant: design sharding schemes, configure hybrid search (BM25 + Dense Vectors) and optimize queries
- Create multi-agent systems based on LangChain/LangGraph for business process automation
- Deep prompt engineering: writing prompts for different scenarios of one agent, techniques like Few-shot, Chain-of-Thought, structured output (JSON mode)
- Debug model semantics: reduce response entropy, control variability through inference parameters, self-healing mechanisms during degradation of external LLM providers
- Optimize PostgreSQL performance: tune complex SQL queries, work with indexes (B-tree, GIN/GIST, trigrams), design transactional isolation
- Offload computations to containerized environments: Docker, Kubernetes (Helm), build resilient CI/CD pipelines in GitLab CI/Jenkins
Requirements
Requirements
- Proficient in Java 17+, understanding of multithreading (CompletableFuture, virtual threads Project Loom — a plus)
- Expert level knowledge of Spring stack: bean lifecycle, aspect-oriented programming, fine-tuning DB connection pools and security parameters
- Experience in designing relational models in PostgreSQL, ability to read EXPLAIN ANALYZE, effective migrations (Liquibase/Flyway)
- Practical experience with vector databases (Qdrant) or Weaviate/Pinecone/Milvus, understanding of proximity metrics (Cosine Similarity, Dot Product, Euclidean Distance)
- Experience with LangChain and/or LangGraph libraries, building state graphs, integrating external tools (tool calling)
- Skill in writing effective prompts (Prompt Engineering) and managing LLM behavior without changing model weights
- Experience with Docker and Kubernetes (manifests, Helm charts), knowledge of Linux shell at a confident user level
- Established CI/CD processes (GitLab CI or Jenkins): Maven/Gradle builds, test coverage (JUnit 5, Testcontainers), static code analysis
Job Details
Market range (est.)$90k–$180k
LocationOffice
AI Score★★★★★★☆☆☆☆ 6/10
PostedAug 29, 2026 (9d ago)
Tags & Skills
aidevtechfintechBackend Developeroffice
Tech Stack
JavaSpring BootPostgreSQLDockerKubernetesCI/CD