About Our Client Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources. About the Role We are looking for a Senior Software Engineer to build and operate production AI agent and search services on top of a large-scale data platform. This is hands-on work at the intersection of distributed backend engineering and applied AI: multi-agent workflows, tool-execution infrastructure, retrieval and relevance, and integrations with multiple LLM providers — all running as real, customer-facing production services with the reliability expectations that implies. Responsibilities * Design and implement scalable multi-agent workflows (including conversation state), tool-execution infrastructure, and data-aware tools working with catalogs, schemas, lineage, SQL, jobs, semantic metadata, data preparation, and visualizations * Build search and retrieval capabilities with OpenSearch or equivalent — indexing, relevance tuning, hybrid keyword + vector search * Integrate multiple LLM/model providers with secure configuration and graceful degradation * Develop APIs and event contracts across REST, streaming/SSE, gRPC, protobuf, and SDKs, including UI integrations * Operate, monitor, and improve production services — service health, logs, metrics, traces, search-cluster health, latency, and error rates; participate in the team’s production-support model * Investigate incidents, drive root-cause analysis, and ship durable fixes * Design for permissions, tool approvals, multi-tenancy, and customer-data governance * Maintain dependencies, apply security fixes, and reduce tech debt; produce designs, tests, runbooks, and documentation; lead technical discussions and review code
Required Qualifications * B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience * 7+ years of relevant experience, or equivalent demonstrated senior-level impact * Strong Java software engineering skills * Strong grasp of concurrency, data structures, API design, testing, maintainability, and backward compatibility * Solid background in distributed systems, microservices, cloud services, or data-intensive backends * Hands-on experience with search technologies — OpenSearch, Elasticsearch, or Lucene — including vector search, embeddings, or relevance systems * Experience building LLM applications, agent/tool workflows, RAG systems, or model-provider integrations * Strong production instincts: diagnosing failures via logs, metrics, and traces; designing for fault tolerance, retries, cancellation, and recovery * SQL and familiarity with data platform concepts: catalogs, metadata, schemas, governance, lineage * Comfort leading ambiguous, cross-service work with clear stakeholder communication and strong written documentation * Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output * English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team * Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings
Desired Skills * LangChain4j or similar agent frameworks * Python for AI services, evaluation harnesses, or sandboxed execution * React and TypeScript * gRPC, protobuf, Quarkus, Kubernetes, MongoDB, KV stores, event-driven architectures * Apache Arrow, Apache Iceberg, OpenLineage, semantic layers, or data-governance systems * AI quality evaluation: LLM-as-judge, model benchmarking, production AI metrics * OpenSearch operations: index lifecycle management, relevance tuning, incident response * Open-source contributions
Details * Engagement: Long-term contract * Location: Europe (EU / EEA / UK), remote * Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team
