CrawlJobs Logo

Core Agent

fourseasons.com Logo

Four Seasons

Location Icon

Location:
Costa Rica , Peninsula Papagayo

Category Icon
Category:
Customer Service

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

As a Communication Agent, you will play a key role in providing prompt and personalized guest assistance, ensuring exceptional customer satisfaction while adhering to Four Seasons' policies and standards. You will efficiently manage and direct calls, messages, and administrative tasks related to guest and employee reservations.

Job Responsibility:

  • Provide general information and support to all callers
  • Successfully operate the telephone switchboard
  • Utilize the Golden guest profile system to ensure maximum accuracy and guest recognition
  • Manage guest interactions via phone, email, messenger, or fax
  • Accept and manage wake-up calls for guests
  • Properly handle Do Not Disturb requests, busy extensions, call transfers, and other call-related functions
  • Report and log any phone maintenance and operational issues
  • Handle chat messages accurately and efficiently
  • Respond appropriately to hotel emergencies or safety situations
  • Perform other tasks or projects as assigned by hotel management

Requirements:

  • Proficiency in written, spoken, and reading English
  • Basic computer skills (Word, Excel, email)
  • training provided for hotel-specific software
  • High School Diploma
  • Experience in Reservations and/or Front Office at a high-volume call center
  • Strong customer service, communication, and interpersonal skills

Nice to have:

Proficiency in written, spoken, and reading Spanish

What we offer:
  • Competitive salary, wages, and a comprehensive benefits package
  • Excellent training and development opportunities
  • Complimentary accommodation at other Four Seasons Hotels and Resorts
  • Complimentary dry cleaning for employee uniforms
  • Complimentary employee meals
  • Additional property-specific benefits as available

Additional Information:

Job Posted:
May 10, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Icon
Four Seasons - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Core Agent

Forward Deployed Engineer, Prompt Specialist

This role offers a rare opportunity to shape how enterprises securely harness th...
Location
Location
Canada; United States; United Kingdom; France , Toronto; New York; San Francisco; Montreal; London; Paris
Salary
Salary:
Not provided
cohere.com Logo
Cohere
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven Experience: Track record of deploying LLM-powered agents in production environments, with a focus on scalability and real-world impact
  • Enterprise Passion: Enthusiasm for solving complex challenges in enterprise settings through agent-based solutions
  • Cross-Industry Collaborator: Thrive in collaborative environments, bringing diverse perspectives and knowledge from varied industries to drive innovation
  • Technical Versatility: Comfortable operating at the intersection of software engineering and machine learning, bridging technical and business needs
  • Analytical Foundation: Background in analytics, NLP, or related fields
  • Experience Level: 0–5 years of professional experience, with a growth mindset and eagerness to shape the future of AI-driven agents
Job Responsibility
Job Responsibility
  • Prompt Optimization: Review, refine, and iterate on prompts for Cohere’s Command model to enhance performance across diverse customer agents and use cases
  • Tool Development & Evaluation: Collaborate with clients to refine custom tools and conduct rigorous evaluations to ensure alignment with their objectives
  • Core Agent Development: Contribute to defining and shaping core agents for out-of-the-box (OOTB) deployment on Cohere’s North platform, driving innovation in agent capabilities
  • Customer-Centric Solutions: Deeply understand customer business needs, then design and build tailored agents that deliver measurable improvements to their operations
  • Metric-Driven Collaboration: Partner directly with customers to define and track key metrics. Quality, efficiency, and accuracy— ensuring agents meet and exceed their goals
What we offer
What we offer
  • An open and inclusive culture and work environment
  • Work closely with a team on the cutting edge of AI research
  • Weekly lunch stipend, in-office lunches & snacks
  • Full health and dental benefits, including a separate budget to take care of your mental health
  • 100% Parental Leave top-up for up to 6 months
  • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
  • Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
  • 6 weeks of vacation (30 working days!)
  • Fulltime
Read More
Arrow Right

AI Native Product Engineer

We're working on an opportunity with a heavily VC backed AI startup founded by a...
Location
Location
United Kingdom , London
Salary
Salary:
100000.00 - 140000.00 GBP / Year
linuxrecruit.co.uk Logo
Linux Recruit
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Shaping the core product of a fast growing AI company
  • Work directly with a world class founding team that knows how to build, ship, and win in enterprise environments
  • Part of an onsite, highly collaborative setup in London where innovation happens shoulder to shoulder
  • Building products that enterprises will actually rely on
  • mission critical tools
  • Driving end to end product engineering from design and architecture to deployment and iteration
  • Partnering with founders, engineers, and customers to translate enterprise problems into AI powered solutions
  • Pushing the boundaries of LLMs and Agentic AI to deliver production grade systems that can scale
  • Their stack is JavaScript (Node, React, Typescript), Python, and Kotlin but they're happy to consider engineers from a range of tech backgrounds
What we offer
What we offer
  • stock per annum
  • Fulltime
Read More
Arrow Right

Senior IT Software Engineer (AI / SAP ABAP)

Palo Alto Networks is seeking a visionary Senior AI & SAP Engineer to join our E...
Location
Location
United States , Santa Clara
Salary
Salary:
145000.00 - 235500.00 USD / Year
paloaltonetworks.com Logo
Palo Alto Networks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of total experience with a mandatory BE/B.Tech degree in Engineering or equivalent military experience
  • 6+ years of deep, hands-on experience developing scalable, resilient systems on the SAP S/4HANA platform
  • Proven track record of delivering multiple end-to-end projects in SAP SD and SAP FI, with a strong functional understanding of O2C and R2R processes
  • Experience in a multi-stack integration landscape using tools like Snaplogic, SAP PI, and SAP Integration
  • Hands-on experience building Model Context Protocol (MCP) tools to securely bridge the gap between LLMs and SAP metadata
  • Experience designing autonomous AI Agents and Retrieval-Augmented Generation (RAG) engines that ground AI reasoning in real-time enterprise data
  • Experience with the full SDLC and Agile methodologies, with a specific focus on embedding AI into development lifecycles to accelerate code refactoring, automated testing, and deployment
  • Proficient in Python, LangChain/LangGraph, and SAP AI Core for architecting autonomous agents
  • Proficient with Vector Databases and LLMOps to manage the lifecycle of RAG-based enterprise solutions
  • Proficient in Advanced programming skills in ABAP Cloud, RAP and CAP, utilizing CDS and AMDP to build high-performance "Clean Core" and SAP Fiori applications
Job Responsibility
Job Responsibility
  • Architect Autonomous AI Ecosystems: Lead the end-to-end design of intelligent AI agents and Agentic Workflows that autonomously optimize core SAP modules (O2C, R2R, MM, and RAR). You will bridge the gap between S/4HANA and the global AI landscape using Model Context Protocol (MCP) and RAG (Retrieval-Augmented Generation) to drive real-time, data-grounded decision-making
  • Modernize the SAP Digital Core: Own the evolution of the technical landscape by championing Clean Core principles. You will move beyond traditional RICEW by implementing high-performance extensions via ABAP Cloud and the RESTful ABAP Programming Model (RAP), ensuring the core remains upgrade-stable while delivering sophisticated, API-first integrations
  • Pioneer AI-Augmented Engineering: Revolutionize the software delivery lifecycle by embedding AI directly into the development process. You will drive engineering excellence by automating code refactoring, technical documentation, and unit testing, significantly accelerating velocity and enabling a high-agility, continuous product delivery model
  • Strategic Collaboration & Mentorship: Serve as the primary technical bridge between BSAs, architects, and business stakeholders to translate complex requirements into scalable AI-ERP strategies. You will foster a culture of innovation by mentoring junior engineers in the dual-disciplines of SAP architecture and full-stack AI development
  • System Integrity & Observability: Ensure the stability of the intelligent enterprise by implementing AI-driven monitoring and proactive performance tuning. You will conduct automated data integrity audits and govern the "Single Source of Truth" within S/4HANA to ensure AI models are consistently operating on high-quality, compliant enterprise data
What we offer
What we offer
  • restricted stock units
  • bonus
  • employee benefits (as per linked description)
  • Fulltime
Read More
Arrow Right

Senior Director of Product Marketing

We’re looking for a Senior Director of Product Marketing in New York to lead our...
Location
Location
United States , New York
Salary
Salary:
Not provided
supermetrics.com Logo
Supermetrics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of experience in product marketing within B2B SaaS
  • 8+ years leading PMM teams, ideally in high-growth or scale-up environments
  • Hands on experience building Agentic tools and workflows that scale and automate PMM functions
  • Proven success launching technical SaaS products and driving multi-segment GTM strategies (hybrid PLG + SLG)
  • Exceptional storytelling skills and a deep understanding of SaaS monetisation, pricing, and packaging
  • Demonstrated experience designing workflows where agents handle execution within human-defined strategic frameworks
  • A clear point of view on what PMM humans should own vs. what agents should operate
  • Experience with adtech/martech, data, analytics, cloud platforms, BI tools, ETL/ELT, or data warehousing
Job Responsibility
Job Responsibility
  • Product Positioning & Narrative — Human-Led, Agent-Informed: Own and refine the core product story and messaging framework. Design agent-assisted workflows that continuously test and adapt value propositions across segments and personas
  • Strategic Go-to-Market — Continuous Orchestration, Not Quarterly Launches: Architect always-on GTM infrastructure and agent-driven launch orchestration workflows that coordinate dependencies and adapt distribution based on real-time signals
  • Pricing, Packaging & Monetisation — Signal-Informed, Human-Decided: Partner with Sales, Finance, and RevOps. Design agent-powered competitive pricing monitoring that tracks market signals in real time
  • Customer, Competitive & Market Intelligence — Always-On, Agent-Operated: Replace periodic reviews with an always-on intelligence system. Build agent workflows that synthesise Voice-of-Customer signals into continuous insight streams
  • Sales, Marketing & Customer Success Enablement — Dynamic Assets, Not Static Documents: Design an enablement system where core assets are agent-maintained and dynamically updated. Set the strategic framework for agent-assisted workflows to translate technical product capabilities into buyer value
  • PMM Team & Function Leadership — Designing the Human + Agent Operating Model: Design the human + agent operating model for the PMM function. Build AI fluency across the team and define PMM career paths that reflect strategic judgment and agent orchestration
What we offer
What we offer
  • Competitive compensation package, including equity
  • Great work equipment, and home office allowance for those working in our fully remote locations
  • Health care benefit and leisure time insurance
  • Annual 1000 euros of personal learning budget
  • Sports and wellbeing allowance
  • 401K
  • Fulltime
Read More
Arrow Right

Cloud Solutions Engineer IV

We are seeking a Cloud / AI Engineer to be responsible for designing, building, ...
Location
Location
United States , Columbus
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5 or more years of experience in software engineering, platform engineering, or cloud engineering
  • Hands-on experience building LLM-based applications or AI agents
  • Strong development skills in Python and or JavaScript / TypeScript
  • Experience deploying and operating services in cloud environments such as Azure, AWS, or GCP
  • Strong experience working with APIs, authentication mechanisms, and system integrations.
Job Responsibility
Job Responsibility
  • Design, build, and deploy AI agents using Microsoft Copilot Studio, AWS Agent Core services, and Google Vertex AI
  • Develop agent workflows including intent handling, tool calling, memory management, and multi-step task execution
  • Create and optimize prompts, system instructions, and grounding strategies to ensure consistent and predictable agent behavior
  • Implement Retrieval-Augmented Generation (RAG) architectures using enterprise data sources, APIs, and document repositories
  • Integrate AI agents with enterprise systems and APIs such as ServiceNow, internal platforms, and cloud services
  • Deploy and manage agents across development, test, and production environments
  • Implement security controls including identity management, authorization, and data access boundaries for AI agents
  • Monitor agent performance through logging, usage analysis, and quality metrics to improve reliability and effectiveness
  • Troubleshoot agent behavior, tool failures, and system integration issues
  • Collaborate with platform, security, and application teams to deliver approved AI agent use cases.
What we offer
What we offer
  • medical, vision, dental, and life and disability insurance
  • enrollment in company 401(k) plan.
  • Fulltime
Read More
Arrow Right

Platform Engineer

We’re looking for a Platform Engineer, Applied Evaluations to define and operati...
Location
Location
United States , New York
Salary
Salary:
225000.00 - 325000.00 USD / Year
antimetal.com Logo
Antimetal
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 3 years of experience in ML platform engineering, data engineering, or a related role, preferably at a high-growth company
  • Prior experience designing evaluation systems where ground truth is noisy, high-volume, and hard to label (e.g. computer vision, deep research pipelines)
  • Strong system design skills: you think about how data flows through distributed systems and how decisions compound at scale
  • Proven ability to write clean, scalable code and strong data modeling skills
  • Demonstrated ability to bring ambiguous goals from prototype to production, using data and experimentation to drive product and architectural decisions
  • Proficient in Python and Typescript, with experience using common ML libraries and data engineering tools
Job Responsibility
Job Responsibility
  • Own the evaluation stack: Build online and offline eval pipelines that measure agent quality across ephemeral, voluminous MELT data, code, and unstructured docs. Set the metrics that define the experience
  • Define quality at scale: Production incidents span hundreds of services–ephemeral, high-volume, and where ground truth is approximative. Design evals that capture trajectory quality, not just final outputs, and validate that your metrics predict real outcomes
  • Build platform abstractions for agents: Design core agent architectures and extend internal frameworks (e.g. sub-agents, MCPs, middleware) – that lets product, platform, and research iterate with confidence and ship faster
  • Productionize: Own latency, observability, and uptime
What we offer
What we offer
  • Pay & ownership — Competitive salary with generous equity grants
  • Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits
  • Unlimited PTO — Take the time you need to recharge
  • Dinner on late nights — Working late? Dinner is on us
  • Fitness stipend — Monthly support for your health and wellness
  • Tools of the trade — Any equipment you need to do your best work
  • Commute perks — Citi Bike + train benefits
  • Fulltime
Read More
Arrow Right

Senior Product Manager

We are Microsoft's AI, building multi-agent systems that serve consumers and ent...
Location
Location
China , Suzhou
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience
  • AI-native mindset — you prototype with prompts, evaluate model outputs firsthand, and build your own workflows on top of AI and agents
  • Deep understanding of agentic systems — multi-step planning, tool use, failure modes, model routing
  • you can reason about these at a technical level
  • Enterprise productivity domain knowledge — you understand knowledge worker workflows and the M365 ecosystem
  • Ability to ship in ambiguity — translating novel agentic capabilities into crisp, shippable specs
  • Stakeholder navigation — proven ability to align engineering, design, research, legal, and leadership in a large org
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Own the product roadmap for agentic workflows targeting information workers across key verticals
  • Define how users interact with, supervise, and trust autonomous agents — the core UX problem of the agentic era
  • Design evaluation frameworks to measure agent quality, and translate findings into product improvements
  • Track the competitive landscape and identify differentiation vectors
  • Navigate compliance, legal, and go-to-market gates to ship externally
  • Fulltime
Read More
Arrow Right

Software Engineer (AI)

We're building a small team of 3 AI-specialist software engineers who embed dire...
Location
Location
Portugal , Porto
Salary
Salary:
Not provided
capitalontap.com Logo
Capital on Tap
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years hands-on experience in C#, .NET Core
  • Proven experience building agents and automation powered by AI
  • Experience integrating with LLMs or other AI technologies
  • Good testing practices, in both Unit and Integration testing
  • Experience in using Agile development practices
  • A passion for learning and teaching new skills and technologies
  • A proactive, supportive, and collaborative team player
Job Responsibility
Job Responsibility
  • Embed within product teams to co-deliver AI-powered features like chatbots, OCR tools, and transaction enrichment systems
  • Write production code alongside the team, ensuring they understand the architecture and can maintain it post-launch
  • Run workshops and training sessions to build AI competency across the Engineering department
  • Establish best practices for testing and evaluating non-deterministic AI systems
  • Create documentation, patterns, and example code for common AI implementation scenarios
  • Help teams identify where AI could add value to their product roadmap
  • Act as the quality owner for AI delivery across the company
Read More
Arrow Right