Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Customer Success Engineer (LatAm)
Type: Contract
Compensation: $35,000–$50,000
Location: Remote
Commitment: Substantial overlap with Pacific Time (PT/PST)

Role Responsibilities

- Investigate talent-reported issues end-to-end. Reproduce bugs, identify root causes, and separate UX friction, model edge cases, and system defects.
- Debug across our AI + SaaS stack using telemetry, logs, network inspection, and database queries to understand production behavior.
- Triage with sound judgment. Escalate true engineering issues and resolve others via configuration, prompt refinement, or clear user guidance.
- Surface systemic patterns and product risks to engineering and product leadership.
- Create clear documentation and runbooks to reduce repeat issues and improve resolution speed.
- Communicate with precision, professionalism, and empathy.

Qualifications

Must-Have

- Ability to debug web applications.
- Degree in Computer Science, Software Engineering , or a related technical field from a top-tier institution or prior experience at a high-growth technology startup.
- Experience building modern web applications (React , Node , Flask , Next.js , etc.).
- 2–5 years of experience supporting customers on such web applications.
- Comfortable with AI systems . Experience with LLMs , agents, or generative models.
- Experience exploring behavior of AI tools (fine-tuning, prompt chains, chain-of-thought debugging, or building agents).
- Ability to understand model outputs, failure modes, hallucinations, and feedback loops.

Preferred

- Familiarity with how modern AI APIs work (OpenAI , Anthropic , etc.) or how agent frameworks (LangChain , AutoGPT , etc.) function.

Resources & Support

AI Outcome Customer Engineer, Google Cloud (English, Spanish)

Forward Deployed Engineer, Generative AI, Google Cloud (Spanish, English)

Forward Deployed Engineer, Generative AI, Google Cloud (Spanish, English)
Share Forward Deployed Engineer, Generative AI, Google Cloud (Spanish, English)
_corporate_fare_ Google _place_ Bogotá, Bogota, Colombia; Mexico City, CDMX, Mexico; +4 more; +3 more
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Share Forward Deployed Engineer, Generative AI, Google Cloud (Spanish, English)
_info_outline_
XIn most instances, this position requires in-person interviews as part of the hiring process.
Please submit your resume in English - we can only consider applications submitted in this language.
Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Bogotá, Bogota, Colombia; Mexico City, CDMX, Mexico; Buenos Aires, Argentina; Santiago, Chile; Lima, Peru** .
**Minimum qualifications:**
+ Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
+ 5 years of experience with software development using Python or similar coding languages.
+ Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP).
+ Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
+ Experience writing code for machine learning, natural language processing, and generative AI agents.
+ Ability to communicate in Spanish and English fluently to support client relationship management in this region.
**Preferred qualifications:**
+ Master's degree or PhD in AI, Computer Science, or a related technical field.
+ Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
+ Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
**About the job**
As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. Your role is designed for high-agency engineers with a founder's mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity, by embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud's future product roadmap.
It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform,



helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.
**Responsibilities**
+ Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI).
+ Architect and code the "connective tissue" between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
+ Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
+ Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
+ Collaborate with technical sales teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
At Fluor Constructors, we are proud to design and build projects and careers. We are committed to fostering a welcoming and collaborative work environment that encourages big-picture thinking, brings out the best in our employees, and helps us develop innovative solutions that contribute to building a better world together. If this sounds like a culture you would like to work in, you're invited to apply for this role.
**Job Description**
The purpose of this position is to provide the essential administrative processes, technical knowledge, and direction as listed. This role has the responsibility to promote Fluor's competitiveness within the global marketplace by delivering quality services of unmatched value and technical competence. This position serves as an Area Lead or Lead on assigned projects or performs complex to difficult engineering assignments, evaluates, selects, and applies advanced engineering techniques to a broad set of complex assignments.
- Develop and review estimates and schedules, progress reports, including workforce forecasts
- Establish, track, and monitor material key quantities; provide analysis and forecasts
- Develop and review specifications, including design criteria
- Participate in activities associated with equipment and material procurement, permitting, and subcontracting
- Perform and check calculations, specify equipment, and solve problems of complex to difficult engineering complexity
- Participate in people development through mentoring,



development of training material, conducting training seminars, and performance appraisal input and counseling
- Analyze and make independent recommendations regarding solutions to problems with varying complexity in accordance with organization and/or project objectives and guidelines
- Other duties as assigned
**Basic Job Requirements**
- Accredited four (4) year degree or general equivalent in engineering field of study and ten (10) years of work-related experience; a recognized professional certification or registration in the applicable field, if required; some locations may have additional or different qualifications in order to comply with local requirements
- Ability to communicate effectively with audiences that include but are not limited to management, coworkers, clients, vendors, contractors, and visitors
- Job related technical knowledge necessary to complete the job
- Ability to learn and apply knowledge of applicable local, state/province, and federal/national statutes and guidelines
- Ability to attend to detail and work in a time-conscious and time-effective manner
- Professional registration and membership in technical society (preferred)
- Advanced knowledge of discipline codes and standards, commercial availability and cost of materials
- Effort-hour estimating and staff forecasting
- Managing and leading a large project
- Project set-up, developing control-level schedules, progress reporting and project close-out
- Practical field experience
- Intermediate computer and software skills to include the use of word processing, e-mail, spreadsheet and electronic presentation programs
**Other Job Requirements**
**Preferred Qualifications**
We are an equal opportunity employer. All qualified individuals will receive consideration for employment without regard to race, color, age, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by governing law.
Benefits Statement: Fluor Constructors is proud to offer a comprehensive benefits package designed to promote employee health, wellness, and financial security. Our offerings include medical, dental and vision plans, EAP, disability coverage, life insurance, AD&D;, voluntary benefit plans, 401(k) with a company match, paid time off (personal, bereavement, sick, holidays) for salaried employees, paid sick leave per state requirement for craft employees, parental leave, and training and development courses.
Market Rate Statement: The market rate for the role is typically at the mid-point of the salary range; however, variations in final salary are determined by additional factors such as the candidate's qualifications, relevant years of experience, geographic location, internal pay equity and prevailing market conditions for the specific role.
Notice to Candidates: Background checks are carried out as part of any conditional offer made, including (but not limited to & role dependent) education, professional registration, employment, references, passport verifications, and Global Watchlist screening.
To be Considered Candidates: Must be authorized to work in the country where the position is located.

CHL - Santiago
Full time
REQ1755
The Senior DevOps Engineer holds strategic and technical responsibility for designing, building, and maintaining the scalable infrastructure that powers the company's products. Their primary mission is to automate the entire software development lifecycle (from code to production), ensuring system availability, cost optimization, security (DevSecOps), and high resilience. Additionally, they act as a bridge between development and operations and provide leadership and mentorship to junior engineers.
**Key Activities**
+ Cloud Architecture and Management: Design and manage critical infrastructure on public clouds.
+ Infrastructure as Code (IaC): Define and implement automated provisioning strategies using tools such as Terraform or Ansible.
+ CI/CD Pipelines: Design, optimize, and maintain Continuous Integration and Continuous Deployment workflows using modern practices like GitOps (via Jenkins, or ArgoCD).
+ Container Orchestration: Manage enterprise-grade Kubernetes clusters (EKS, GKE) and Docker at scale.
+ Observability and Monitoring: Configure alerts and advanced telemetry dashboards using Prometheus and Grafana stacks.
+ Culture and Security (DevSecOps): Integrate automated vulnerability scanning into pipelines and ensure compliance with company standards
+ Mentorship and Leadership: Guide development teams on infrastructure best practices, document processes, and train junior/mid-level engineers.
**Core Qualifications**
+ Work Experience: A minimum of 5-7 years of experience in systems, development, or infrastructure, with at least 3-4 years dedicated exclusively to DevOps/Cloud roles.
+ Languages: Intermediate-to-advanced English (B2/C1)
+ Programming/Scripting Skills: Advanced proficiency in automation languages such as Python, Bash, or Go.
**About Comscore:**
At Comscore, we're pioneering the future of cross-platform media measurement, arming organizations with the insights they need to decide with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we're united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you're motivated by big challenges, we can partner you. Fully remote or hybrid may apply.
Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting, and evaluating media across platforms. etc.

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📌 Remote Senior Full-Stack Engineer: Ai Code Evaluation (Santiago)
🏢 Outlier
📍 Santiago