Senior Software Engineer (AI/Search Engineer)

The Impact:You will help evolve the framework and shared libraries that power mission-critical ratings and analytics applications. Your contributions reduce duplication, streamline developer workflows, and lower time-to-market. By codifying best practices (fault tolerance, metrics, structured logging, security, CI/CD hygiene) you help every engineering squad move faster while maintaining enterprise standards.

Whats In It For You:

• Ownership of platform components used company-wide.
• Collaboration with experienced engineers in distributed systems, cloud, search, streaming, and platform design.
• Exposure to modern JVM ecosystem tools (Spring, Cloud Native Buildpacks, CNCF projects, Kafka, container orchestration).
• Opportunities to run proof-of-concepts and influence technology adoption.
• Supportive culture emphasizing learning, quality, and continuous improvement.
• Work on cutting edge AI/Search solutions.

Responsibilities:

• Enhance our search experience with generative and personalization capabilities
• Contribute to integrating search and AI/ML capabilities (semantic enrichment, relevance, generative augmentation) into the platform.
• Built Agentic workflows, AI/ML solutions for search and data retrieval.
• Work on improving and implementing RAG and context engineering.
• Work with advanced data stores such as Vector stores to improve data retrieval accuracy and be able to optimize storage and retrieval.
• Design, implement, and enhance Java microservices and shared framework modules.
• Deliver features improving resilience, observability, configuration, developer experience, and security.
• Build and maintain event-driven components and data pipelines using Kafka (producers, consumers, schemas, stream processing).
• Write clean, testable code; maintain unit/integration tests; participate in and provide constructive code reviews.
• Partner with internal customer teams: triage issues, refine requirements, improve documentation and onboarding guides.
• Create focused proof-of-concepts evaluating new libraries or approaches; communicate findings.
• Uphold secure coding, compliance, and performance best practices; contribute to automated quality gates (static analysis, metrics dashboards, CI/CD).
• Participate in sprint ceremonies and collaborate with product, architecture, and other engineers on design discussions.

What Were Looking For:

• Strong foundation in core Java (collections, concurrency fundamentals, streams) and object-oriented design.
• Experience building RESTful APIs/services (Spring Boot or similar framework).
• Solid grasp of data structures, algorithms, and Git workflows.
• Working knowledge of testing practices (JUnit/Mockito or similar).
• Familiarity with containerization (Docker) and basic cloud deployment concepts.
• Clear, professional communication and collaborative mindset.
• Experience with Kafka or another event streaming / messaging system.
• Experience with search technologies (Elasticsearch/OpenSearch/Lucene) or vector/semantic retrieval.
• Experience integrating AI/ML features (e.g., calling model APIs, embedding generation, ranking).
• Experience working with Vector stores.
• Experience working with AI/ML framework such as langchain/langgraph.
• Observability tooling familiarity (Prometheus, Grafana, OpenTelemetry concepts, structured logging).
• CI/CD pipeline experience (GitHub Actions, Jenkins, etc.).
• Knowledge of security fundamentals (secrets management, authN/Z patterns).