FLEX Software Engineer, Conversational AI and Intelligent Search
Backend Developer
Agentic Ai
Ai Agent
Ai Agent Platform
Ai Platform
Ai Security
APIs
Artificial Intelligence
Artificial Intelligence Engineer
Cloud Operations
Conversational Ai
Data Processing
Databases
Developer
DevOps
Engineering
Facilities Management
Generative AI
Information Technology (IT)
Programming
Programming Language
Programming Languages
Software Development
Software Engineer
Job Description
Marriott International is seeking a temporary FLEX Software Engineer focused on conversational AI and intelligent search. This remote-based role supports the design, build, test, and operation of production-grade AI experiences, including AI agents and retrieval workflows that bring generative AI capabilities into real customer environments.
Responsibilities
- Design, build, test, deploy, and operate production-grade conversational AI applications, intelligent search experiences, and AI agents.
- Develop multi-turn workflows, agent routing, structured tool calling, memory, and context-management capabilities.
- Build retrieval-augmented generation and intelligent search solutions using embeddings, vector retrieval, hybrid search, reranking, and grounding techniques.
- Integrate AI applications with internal APIs, search platforms, databases, model providers, and external services.
- Develop scalable APIs, streaming interfaces, asynchronous workflows, and event-driven backend services.
- Implement prompt management, model configuration, structured outputs, safety guardrails, authentication, authorization, and secure data-handling practices.
- Improve response accuracy, grounding, relevance, personalization, latency, scalability, and cost efficiency through measurement and iterative engineering.
- Create unit, integration, contract, end-to-end, and automated regression tests for AI applications and supporting services.
- Partner with Quality Engineering to develop evaluation datasets, release-quality thresholds, and repeatable AI evaluation and experimentation practices.
- Implement logging, metrics, distributed tracing, alerting, dashboards, and production diagnostics using OpenTelemetry and application-performance monitoring platforms.
- Troubleshoot complex production issues across models, prompts, application code, infrastructure, data stores, and downstream dependencies, including root-cause analysis.
- Participate in architecture reviews, code reviews, release planning, CI/CD implementation, progressive delivery, and production support.
- Evaluate emerging generative AI technologies and make pragmatic architecture and implementation decisions aligned with business, security, reliability, and operational requirements.
- Collaborate across Product, Engineering, Quality Engineering, Security, Platform, and Operations teams to deliver inclusive, accessible, high-traffic customer experiences.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field, or a 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, including production experience building and operating 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.
Technology Stack
- Python, Java, JavaScript, TypeScript
- Kubernetes, CI/CD, containers
- Retrieval-augmented generation, embeddings, vector retrieval, hybrid search, reranking
- OpenTelemetry, application-performance monitoring platforms
- LangChain, LlamaIndex, Semantic Kernel, AutoGen, Temporal
- Vector databases, LLM-as-judge patterns, caching
- Prompt-injection defenses, content safety, red-team testing
- Feature flags, progressive delivery, canary deployments
Preferred Candidate Profile
- 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 practices, including 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.
Benefits
- 401(k) plan and stock purchase plan
- Discounts at Marriott properties
- Commuter benefits
- Employee assistance plan and childcare discounts
- Medical, dental, vision
- Health care flexible spending account and dependent care flexible spending account
- Life insurance, disability insurance, accident insurance
- Adoption expense reimbursements and paid parental leave
- Washington Applicants Only: paid sick leave, 0.0384 PTO balance for every hour worked, and eligibility to receive a minimum of 9 holidays annually
Additional Information
- Job Number: 26123873
- Job Category: Information Technology
- Location: 7750 Wisconsin Avenue, Bethesda, MD 20814, United States
- Schedule: Full Time
- Located Remotely: Y
- Position Type: Management
- Pay Range: $41.97-$69.23 per hour (USD 41 - 69 per hourly)
- Temporary position; assignment duration through September 11, 2027
- Expiration Date: 11/10/2026
- Marriott HQ supports a hybrid work environment for HQ-based roles; remote roles are clearly identified in the job posting.