Senior Java Software Engineer

Lineate is a US-based international software development company with over two decades of experience.

From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.

We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.

Our expertise falls into three main categories:

• Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
• Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
• Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
• Our goal is not just to build technology, but to build the future operating model for our clients.

Senior Java Search Engineer who will primarily work on backend development with a strong focus on optimizing full-text and vector search capabilities. The role also involves supporting AI/ML-powered products by integrating and operationalizing AI components within production systems rather than developing ML models from scratch.

• 5+ years of hands-on software engineering experience with Java in production environments
• Strong expertise in Java 25+, Spring Framework / Spring Boot, and modern backend development practices
• Experience building and optimizing high-performance search systems and search-related services
• Hands-on experience with vector search technologies, preferably Vespa, or other vector databases/search platforms (OpenSearch, Elasticsearch, Weaviate, Pinecone, Milvus, Qdrant, etc.)
• Solid experience with Redis, MySQL, and Apache Kafka
• Experience working with reactive programming, preferably RxJava
• Strong understanding of distributed systems, scalability, performance tuning, and reliability
• Experience designing and implementing APIs and microservices
• Good knowledge of software architecture, testing, and engineering best practices

• Production experience with Vespa
• Experience building semantic search, vector search, or Retrieval-Augmented Generation (RAG) solutions
• Familiarity with AI/ML infrastructure and pipelines, including integrating machine learning models into production services
• Experience orchestrating AI-powered services and working with embeddings, ranking, and recommendation systems
• Knowledge of cloud platforms and containerized environments (Docker, Kubernetes)
• Experience with observability, monitoring, and performance analysis tools

• →Developing and optimizing large-scale search functionality with a strong focus on full-text and vector search performance
• →Building backend services using Java, Spring, and reactive technologies
• →Designing and improving search relevance, ranking, indexing, and retrieval mechanisms
• →Integrating AI/ML components into production systems and supporting AI-driven product features
• →Building and maintaining reliable data pipelines and event-driven services using Kafka
• →Collaborating with product, data, and engineering teams to deliver scalable search and discovery solutions