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# FLEX Software Engineer, Conversational AI and Intelligent Search

- **Company:** Marriott International, Inc.
- **Location:** Bethesda, MD, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $87,298.0 - $143,998.0
- **Contract:** Temporary contract
- **Skills:** AI Evaluation, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Code Review, Computer Programming, Databases, Continuous Integration, Data Security, Data Stores, Distributed Systems, Python (Programming Language), Regression Testing, Release Management, Secure Coding, Software Engineering, TypeScript, Data Logging, Data Processing, Chatbots, Spring Cloud, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Llamaindex, Generative AI, Backend, Agentic-AI, Kubernetes, Information Technology, Low Latency, Performance Monitor, AutoGen, Semantic Kernel, Dynatrace
- **Published:** October 22, 2026
- **Apply:** https://ejwl.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/MI_CS_1/job/26123873/apply/email?posting_type=1

## About the Role

* Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or high school diploma/GED with an additional 4 years of professional experience.
 * 2+ years of professional software engineering experience.
 * Programming experience in Python, Java, JavaScript, TypeScript, or a comparable language, with demonstrated experience building and operating production backend services, APIs, cloud-native applications, containers, Kubernetes, distributed systems, and automated CI/CD pipelines.
 * Hands-on experience developing generative AI, conversational AI, intelligent search, retrieval-augmented generation, or agent-based applications, including model APIs, prompt engineering, tool calling, structured outputs, embeddings, retrieval, context management, testing, observability, secure development, and sensitive-data handling.

Preferred

 * Experience building multi-agent or workflow-orchestrated AI systems using frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, Temporal, or comparable technologies.
 * Experience with vector databases, hybrid search, reranking, retrieval optimization, AI evaluation, LLM-as-judge patterns, experimentation, latency and token optimization, caching, and cost management.
 * Experience with responsible AI, prompt-injection defenses, content safety, red-team testing, OpenTelemetry, application-performance monitoring, canary deployments, feature flags, progressive delivery, and localized, accessible, high-traffic customer applications.

## Description

* Designs, builds, tests, deploys, and operates production-grade conversational AI applications, intelligent search experiences, and AI agents.
 * Develops multi-turn workflows, agent routing, structured tool calling, memory, and context-management capabilities.
 * Builds retrieval-augmented generation and intelligent search solutions using embeddings, vector retrieval, hybrid search, reranking, and grounding techniques.
 * Integrates AI applications with internal APIs, search platforms, databases, model providers, and external services.
 * Develops scalable APIs, streaming interfaces, asynchronous workflows, and event-driven backend services.
 * Implements prompt management, model configuration, structured outputs, safety guardrails, authentication, authorization, and secure data-handling practices.
 * Improves response accuracy, grounding, relevance, personalization, latency, scalability, and cost efficiency through measurement and iterative engineering.
 * Creates unit, integration, contract, end-to-end, and automated regression tests for AI applications and supporting services.
 * Partners with Quality Engineering to develop evaluation datasets, release-quality thresholds, and repeatable AI evaluation and experimentation practices.
 * Implements logging, metrics, distributed tracing, alerting, dashboards, and production diagnostics using OpenTelemetry and application-performance monitoring platforms.
 * Troubleshoots complex production issues across models, prompts, application code, infrastructure, data stores, and downstream dependencies, and performs root-cause analysis.
 * Participates in architecture reviews, code reviews, release planning, CI/CD implementation, progressive delivery, and production support.
 * Evaluates emerging generative AI technologies and makes pragmatic architecture and implementation decisions aligned with business, security, reliability, and operational requirements.
 * Collaborates across Product, Engineering, Quality Engineering, Security, Platform, and Operations teams to deliver inclusive, accessible, and high-traffic customer experiences.