Core Agent Job at Four Seasons (Taipa, Macao)

Forward Deployed Engineer, Prompt Specialist

This role offers a rare opportunity to shape how enterprises securely harness th...

Location

Canada; United States; United Kingdom; France , Toronto; New York; San Francisco; Montreal; London; Paris

Salary:

Not provided

Cohere

Expiration Date

Until further notice

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

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

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

AI Native Product Engineer

We're working on an opportunity with a heavily VC backed AI startup founded by a...

Location

United Kingdom , London

Salary:

100000.00 - 140000.00 GBP / Year

Linux Recruit

Expiration Date

Until further notice

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

stock per annum

Fulltime

Platform Engineer

We’re looking for a Platform Engineer, Applied Evaluations to define and operati...

Location

United States , New York

Salary:

225000.00 - 325000.00 USD / Year

Antimetal

Expiration Date

Until further notice

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

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

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

Software Engineer (AI)

We're building a small team of 3 AI-specialist software engineers who embed dire...

Location

Portugal , Porto

Salary:

Not provided

Capital on Tap

Expiration Date

Until further notice

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

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

AI Engineer

In this role you will design and build intelligent, autonomous AI systems that e...

Location

United States , San Diego

Salary:

199500.00 - 299300.00 USD / Year

Teradata

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
3–5+ years of experience in software architecture, backend development, or AI infrastructure
Strong Python skills and familiarity with Java, Go, and C++
Deep expertise in agent development, LLM integration, prompt engineering, runtime systems, and AI tooling
Experience with MCP servers, vector databases, RAG systems, graph-based memory, and NLP frameworks
Ability to design core agentic capabilities such as memory management, context handling, observability, and identity
Strong background in distributed systems, backend services, API design, and cloud-native deployments (AWS, Azure, GCP)
Proficiency with containerization, CI/CD pipelines, and scalable production infrastructures
Excellent communication skills, documentation habits, and ability to mentor or collaborate across teams
Passion for building safe, human-aligned, autonomous systems and extending open-source tools to innovate

Job Responsibility

Design and build intelligent, autonomous AI systems that enable Teradata to push the boundaries of enterprise-scale agentic technology
Lead the development of scalable, secure, cloud-native frameworks that allow AI agents to reason, plan, act, and collaborate in real-world production environments
Create the foundational runtime components, automation capabilities, and infrastructure that power next-generation GenAI and Agentic AI solutions
Work closely with AI researchers, platform teams, and product leadership to bring advanced agentic capabilities from concept to production across Teradata’s data and AI platform
Succeed in this role by enabling enterprise customers to leverage powerful, resilient, and safely governed AI agents that drive measurable business value

What we offer

Healthcare, life and disability insurance plans
401(k)-retirement savings plan
Time-off programs
Flexible work model
Well-being focus
Diversity, Equity, and Inclusion commitment

Fulltime

Software Engineer - AI/ML - AI Platform

We are currently seeking an AI Engineer to join our AI Platform team. The AI Pla...

Location

United States , New York

Salary:

155000.00 - 194000.00 USD / Year

Addepar

Expiration Date

Until further notice

Requirements

1-3+ years of professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes
A strong, systems-level foundation in building and scaling backend services (e.g., understanding microservices, APIs, and concurrency)
Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI
A strong bias for action, with a passion for shipping rapidly and iterating with feedback
Passion for proactivity, deep ownership, and a desire to learn and build on the frontier of AI
BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience
Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment

Job Responsibility

Design and build end-to-end AI-native products, from initial prototype all the way to scalable production services
Develop and productionize core components of our AI platform – including: LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.), Agentic frameworks, Core agent capabilities like MCP/ cross-platform tool use, web browsing, computer use
Rapidly iterate on AI products based on performance metrics and user feedback to drive continuous improvement
Drive the evaluation and adoption of new AI technologies and frameworks to keep Addepar on the frontier of the industry
Collaborate with product managers and other engineering teams to translate strategic goals into technical realities, abstracting AI complexity so they can iterate quickly

What we offer

bonus
equity
benefits

Fulltime

New

Software Developer

We are looking for a Software Developer for one of our clients.

Location

United Arab Emirates , Abu Dhabi

Salary:

Not provided

Lobellia

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
5+ years of professional software development experience
Demonstrated project delivery in Python (portfolio, GitHub, internal repos, or verifiable shipped work)
Strong Python development skills, demonstrated through delivered projects in production or near production environments (APIs/services, data workflows, automation, or platforms)
Experience building software with clear engineering fundamentals: modular design, testing, version control, packaging, performance considerations
Ability to collaborate effectively with domain SMEs and data scientists, can translate ambiguous domain goals into concrete, testable software
Experience working with data-centric systems (structured/unstructured data handling, ETL/ELT concepts, data quality, metadata)
Familiarity with modern development workflows, specifically with Azure DevOps (ADO) for Agile work management (Azure Boards), source control (Azure Repos), and/or CI/CD pipelines (Azure Pipelines)

Job Responsibility

Build Agentic Workflow Software (Core): Implement agentic workflows that execute multi-step domain tasks with human-in-the-loop checkpoints (review/approve/iterate) and clear auditability
Develop modular, extensible components (agents, tools, planners, evaluators) so workflows can be reused and expanded across use cases
Translate SME requirements into software artifacts: workflow definitions, task decomposition, tool contracts, state management, and error handling
Integrate with Data & Domain Ecosystems: Build robust integrations to enterprise data foundations (e.g., OSDU/ADME) for reading inputs and writing outputs with metadata/provenance
Implement connectors to domain tooling and services (e.g., subsurface/petrotechnical apps and workflows), supporting orchestration across systems
Collaborate with data engineers/data scientists to operationalize pipelines that support workflow execution and repeatability
GenAI Enablement (Preferred): Implement LLM-enabled features: prompt/tool orchestration, retrieval-augmented generation (RAG), document ingestion, embeddings, and vector search
Contribute to multi-agent workflow frameworks where LLMs assist with reasoning/planning and tools execute deterministic steps
Apply best practices for reliability (guardrails, evaluation, regression tests, and monitoring) in GenAI systems
Engineering Excellence & Operational Readiness: Write clean, testable Python code with CI/CD, code review, and documentation discipline

Senior Full Stack Engineer, AI Platform

We're looking for a highly skilled Senior Full Stack Engineer who is excited abo...

Location

Austria , Vienna

Salary:

85000.00 EUR / Year

9amHealth

Expiration Date

Until further notice

Requirements

7+ years of experience as a Software Engineer
Strong knowledge of major parts of our tech stack (AWS, Java, Typescript, Python)
Strong experience in building with LLMs in production, not just prototypes
Clear enthusiasm for the capabilities and opportunities of AI and agentic systems
Strong system design skills and comfort working in ambiguous problem spaces
Ability to communicate clearly with technical and non-technical stakeholders

Job Responsibility

Design, implement, and operate backend and fullstack systems that incorporate LLMs, tools, and agents as core components
Build agentic workflows (multi-step, tool using, stateful systems) that solve real product and operational problems
Integrate LLMs safely and reliably into production systems, with attention to observability, cost, and failure modes
Use modern AI coding tools (e.g. Claude Code/Codex/Pi/Cursor) to accelerate development, refactoring, and exploration
Set patterns and standards for how AI is used in day to day engineering work
Help the team move faster without sacrificing quality or clarity
Collaborate closely with Product Management, Design, and other stakeholders to shape solutions, not just implement specs
Translate high level goals into technical architecture and execution plans
Contribute to roadmap discussions with a strong systems and platform perspective
Design APIs, services, and data models (primarily backend leaning)

What we offer

Health, dental, and vision insurance
Flexible PTO
Work from home options
Professional development budget
Support continuing education

Fulltime

Core Agent

Four Seasons

Location:
China , Taipa, Macao

Category:
Hospitality and Tourism

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 19, 2026

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