Delivery Quality Engineer, AI Business Job at Prolific (Mexico City)

Head of Quality, AI Business

As Head of Quality, AI Data, you will own the systems that turn messy human and ...

Location

Mexico , Mexico City

Salary:

Not provided

Prolific

Expiration Date

Until further notice

Requirements

8–12+ years of experience in quality, data operations, trust and safety, or ML evaluation, with 3+ years leading managers or senior leads
Proven experience running quality programs across globally distributed teams and multiple regions
Strong statistical intuition (sampling, agreement, bias/variance) and comfort working with quality data
Fluency with SQL and dashboards
working knowledge of Python or R for analysis or automation
Deep understanding of human-in-the-loop systems and how data quality impacts model behaviour
Strong judgment balancing speed, cost, and quality, and the ability to make trade-offs explicit
Clear, confident communication with both engineers and executives

Job Responsibility

Set the global quality strategy across annotation, human feedback, model evaluation, red-teaming, and multilingual data
Define and enforce quality standards, acceptance criteria, and playbooks across project and pipeline types
Own the quality measurement system, including sampling strategies, agreement metrics, defect taxonomies, and drift detection
Lead a globally distributed quality organisation and design operating rhythms that work asynchronously across regions
Ensure quality is embedded from project kickoff through delivery, including audits, remediation loops, and root-cause analysis
Act as the senior quality partner for customers, clearly explaining methodology, results, risks, and improvement plans
Partner with Product, Engineering, and Operations to embed quality into tooling, workflows, and automation
Hire, develop, and lead quality managers and senior individual contributors, building a culture of rigor and accountability

What we offer

competitive salary
equity
benefits
remote working
impactful, mission-driven culture
opportunity to earn a cash variable element, such as a bonus or commission

Digital Engineer Service Delivery AI

We are seeking a dynamic and experienced Digital Engineering Service Delivery Le...

Location

Ireland , Dublin

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

5+ years’ experience in digital service delivery including delivery of complex platforms or services
Strong working knowledge of Agile delivery frameworks (Scrum, Kanban, SAFe, Lean)
Proven experience delivering digital products, platforms, or services in an Agile environment
Experience working on or alongside AI-enabled solutions, such as machine learning models, intelligent automation, analytics platforms, or generative AI use cases
Excellent stakeholder management and communication skills, with the ability to bridge business, technical, and AI teams
Strong problem-solving skills and adaptability in fast-paced, evolving environments

Job Responsibility

Partner closely with the Digital Engineering Lead and senior stakeholders to define and execute digital and GenAI / Agentic AI transformation roadmaps
Work with stakeholders to ensure delivery timelines, quality standards, and service outcomes are met in alignment with business and strategic objectives
Act as a key liaison between technical, AI, and business teams, ensuring clear communication, alignment, and transparency
Collaborate with Product Owners and Digital Leads to prioritise backlogs, manage dependencies, and remove delivery impediments
Track and report on delivery metrics (e.g. velocity, burn-down charts, flow metrics) to support continuous delivery and improvement
Oversee service transition into production, including AI model deployment, and coordinate operational handover to ensure full support and monitoring readiness
Support incident and problem resolution in collaboration with DevOps, Integration, QA, Ops, and support teams
Work with our Responsible AI Team to promote responsible AI practices, including awareness of model performance, bias, explainability, and compliance considerations
Foster a culture of collaboration, accountability, innovation, and continuous learning across delivery teams

What we offer

Competitive Salary
Flexible working (times and location) is part of our culture where your hours can facilitate your personal work-life balance
Generous Employer Pension contribution
Free Phone Bill – When you join the team, your phone bill is on us! You will also receive mobile phone purchasing discounts
Learning and Development – We provide extensive training to all of our employees so they can progress in their careers! There is also the Vodafone University where our employees can gain incredible skills!
Exclusive Family and Friends Discounts – Receive additional discounts for you, your Family and Friends on Vodafone Products!
23 days annual leave and 3 charity days off – PLUS a dedicated day off for your birthday
Access to our Wellness centre including free access to our Gym, health and wellness centre and external practitioners

Quality Analyst, AI Business

As a Quality Analyst within Prolific AI Data Services, you will play a critical ...

Location

Mexico , Mexico City

Salary:

Not provided

Prolific

Expiration Date

Until further notice

Requirements

1–3 years of experience in analysis, quality, operations, or data-focused roles, or equivalent academic projects or internships
A background in computer science, data science, statistics, engineering, or a related quantitative discipline
Strong SQL skills (required), with the ability to independently query, join, and summarise datasets to answer quality and operational questions
Working proficiency in Python and/or R, with experience writing scripts or notebooks to clean data, compute metrics, and automate checks
Strong analytical rigour, with a high bar for precision, consistency, and clear documentation of decisions
Solid statistical fundamentals, including intuition for sampling, distributions, confidence, and agreement concepts
Clear and structured communication skills, with the ability to explain issues using concrete examples and propose practical fixes
A collaborative mindset and willingness to partner cross-functionally to improve quality outcomes and delivery reliability

Job Responsibility

Run day-to-day quality measurement for managed service studies, including sampling, rubric-based review, and structured reporting
Apply rubrics and guidelines consistently, flag ambiguities, and propose clear, actionable clarifications as task types evolve
Maintain and update golden sets, and support calibration efforts by preparing materials, tracking outcomes, and documenting decisions
Track defects and failure modes by categorising issues, assessing severity, and keeping defect taxonomies current
Run automated quality checks using SQL and Python or R, including completeness checks, schema and format validation, anomaly detection, and label distribution monitoring
Support launch gates by preparing readiness artefacts such as rubric versioning, gold status, sampling plans, and early pilot findings
Investigate quality drops by pulling examples, quantifying scope, and supporting root-cause analysis and corrective and preventive actions (CAPAs)
Build dashboards and weekly updates covering defect rates, rework, agreement, throughput versus quality trade-offs, and SLA risk
Partner with Operations, reviewers, and—when needed—Product and Engineering to improve task design, reviewer workflows, and escalation paths

What we offer

competitive salary, benefits, and hybrid working within our impactful, mission-driven culture
equity
opportunity to earn a cash variable element, such as a bonus or commission

AI-Augmented Functional Engineer (Senior Business Analyst)

AI-augmented techno-functional role within Market Risk focused on delivering P&L...

Location

Poland , Warsaw

Salary:

Not provided

Talan

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, or similar
5+ years in business analysis or techno-functional roles in financial services
Strong understanding of data modeling and process design for financial applications, especially financial derivatives/P&L
High level in SQL, and experience with data analysis / ETL
Experience with AI-assisted development tools (or strong willingness to learn)
Experience translating requirements into functional designs and data models
Ability to read and review code (Python or similar)
Strong analytical skills and attention to data quality
Strong communication skills in English and ability to work with cross-functional agile teams (SCRUM)
Experience in production support and issue resolution

Job Responsibility

Translate business and technical needs into user stories and functional designs using AI tools (e.g., Rovo)
Design data flows and processes for P&L systems, ensuring business value
Collaborate with engineers, leveraging AI tools (Copilot, Devin, Windsurf) to support design, build, and validation
Review and guide AI-generated solutions with senior developers
Own end-to-end delivery in Agile (backlog, sprints, documentation in Jira/Confluence)
Ensure strong end-to-end solution quality, defining test approach
Handle production issues, including incident triage and root cause analysis

What we offer

Smart Office Pack so that you can work comfortably from home
Training and career development
Private medical insurance
Life insurance
Possibility to be part of a multicultural team and work on international projects

Fulltime

AI-Augmented Functional Engineer (Senior Business Analyst)

AI-augmented techno-functional role within Market Risk focused on delivering P&L...

Location

Spain , Málaga

Salary:

Not provided

Talan

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, or similar
5+ years in business analysis or techno-functional roles in financial services
Strong understanding of data modeling and process design for financial applications, especially financial derivatives/P&L
High level in SQL, and experience with data analysis / ETL
Experience with AI-assisted development tools (or strong willingness to learn)
Experience translating requirements into functional designs and data models
Ability to read and review code (Python or similar)
Strong analytical skills and attention to data quality
Strong communication skills in English and ability to work with cross-functional agile teams (SCRUM)
Experience in production support and issue resolution

Job Responsibility

Translate business and technical needs into user stories and functional designs using AI tools (e.g., Rovo)
Design data flows and processes for P&L systems, ensuring business value
Collaborate with engineers, leveraging AI tools (Copilot, Devin, Windsurf) to support design, build, and validation
Review and guide AI-generated solutions with senior developers
Own end-to-end delivery in Agile (backlog, sprints, documentation in Jira/Confluence)
Ensure strong end-to-end solution quality, defining test approach
Handle production issues, including incident triage and root cause analysis

What we offer

Smart Office Pack so that you can work comfortably from home
Training and career development
private medical insurance
life insurance
Language lessons
Possibility to be part of a multicultural team and work on international projects

Fulltime

New

Ai Engineer (Ai-native Development & Claude-based Systems)

As an AI Engineer, you play a key role in building and running the technical bac...

Location

Romania , Cluj

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of professional experience in software engineering, backend, or platform engineering roles
Strong software engineering background with hands-on experience in modern architectures
Experience in the insurance domain, with exposure to insurance platforms, business processes, or core systems (e.g. policies, claims, billing, underwriting, integrations)
Familiarity with AI‑native engineering practices, such as agent‑based or orchestration‑driven approaches (e.g. Gastown‑style concepts)
Hands-on experience with Claude or similar large language models, including: Using AI tools directly within an IDE or development workflow
Writing effective prompts for code analysis, code generation, and iterative refinement
Solid understanding of modern engineering patterns, including: API design and integration
Microservices architectures
Event‑driven and integration‑based systems
Experience working with existing, non‑trivial codebases and enabling AI‑driven analysis on top of them

Job Responsibility

Implement and maintain the AI backbone that supports end‑to‑end delivery
Configure, train, and orchestrate AI models and agents working directly on existing codebases
Enable automated gap analysis, requirement refinement, and specification generation using AI
Integrate AI capabilities into real-world software systems, not isolated PoCs
Ensure AI‑driven outputs are robust, scalable, and accurate enough for enterprise use
Continuously improve prompts, workflows, and agent coordination to increase quality and consistency
Work closely with the Intent Engineer to iterate on outputs and ensure alignment with business intent
Support a shift from traditional requirement creation to AI‑assisted, exploration‑driven delivery

What we offer

Smooth integration and a supportive mentor
Pick your working style: Remote, Hybrid or Office work opportunities
Flexible working hours
Sponsored certifications, trainings and top e-learning platforms
Private Health Insurance
Individual coaching sessions
Accredited Coaching School
Epic parties or themed events

Fulltime

Lead AI Engineer (Generative AI)

Location

Australia , Melbourne

Salary:

160000.00 - 170000.00 AUD / Year

Salt

Expiration Date

Until further notice

Requirements

2 – 4 years experience applying modern Generative AI in real delivery environments
A strong track record of providing technical leadership
A strong background in software engineering before stepping into a more AI-focused role in recent times
Deep expertise in Generative AI, large language models, retrieval‑augmented generation (RAG), and modern machine learning techniques
Strengths in prompt engineering, offline/online evaluation, safety guardrails, and telemetry‑driven improvement
Practical experience with RAG, embeddings/vector search, and tool‑use/function‑calling orchestration
The ability to define trustworthy AI metrics
A Software engineering background using the likes of React, Typescript, React Native
AWS experience / certifications
Strong knowledge of CI/CD

Job Responsibility

Accelerating the adoption of Generative AI for this company, leading the adoption of AI‑first engineering practices and an 'AI-first' mindset
Providing technical leadership and shaping AI-enabled solutions
Reporting into the Head of Technology and working closely with the Head of Enterprise AI
Collaborating with a variety of cross-functional teams including
Engineering, QA, BA, Product Management, Senior Business Stakeholders, Data Science, Cyber Security, Enterprise Architecture
Coaching and training engineers and leaders in the organisation in safe, effective AI‑assisted development
Encouraging teams to embed AI‑driven thinking in solution design and delivery
Defining and helping to operationalise trustworthy metrics to measure the impact of AI features, and developer productivity uplifts
Producing AI-augmented solution designs when required
Driving engineering excellence by uplifting standards, modernising technical practices, and championing AI‑aligned SDLC patterns

What we offer

Super
Bonus

Fulltime

Full Stack Engineer (AI & Agentic AI Systems)

The Full Stack Engineer (AI & Agentic AI Systems) is a strategic professional wh...

Location

India , Pune; Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

2-5 years in an Apps Development role
Demonstrated execution capabilities
Strong analytical and quantitative skills
Data driven and results-oriented
Experience in running high traffic, distributed, cloud based services
Experience in affecting large culture change
Experience leading infrastructure programs
Skilled at working with third party service providers
Excellent written and oral communication skills
Bachelor’s/University degree or equivalent experience

Job Responsibility

Design and deliver end‑to‑end solutions spanning architecture, system design, low‑level design, and high‑quality coding across modern full‑stack environments
Build responsive, modular UI applications using React, integrating complex AI-driven workflows and real‑time interactions
Develop scalable, high‑performance backend services in Java / Python, implementing resilient APIs, event‑driven patterns, and microservices architectures
Engineer AI‑powered features leveraging Google Gemini LLM, Vertex AI, ADK, vector databases (A2A), RAG pipelines, MCP, context engineering, and advanced prompt engineering techniques
Implement secure, well‑structured REST and GraphQL APIs, ensuring reliability, versioning discipline, and clean integration patterns across platforms
Optimize system performance and scalability, applying profiling, load‑testing insights, caching strategies, and distributed system tuning
Drive robust CI/CD practices, integrating automated testing, code quality gates, containerization, and cloud‑native deployment pipelines
Partner with QE to build and maintain automated test suites (UI, API, integration, and performance), improving release quality and reducing regression risk
Identify, diagnose, and remediate performance bottlenecks, penetration testing vulnerabilities, and production issues with precision and root‑cause clarity
Collaborate cross‑functionally with AI scientists, architects, and product teams to translate business challenges into production‑ready, intelligent agentic systems

Fulltime

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Delivery Quality Engineer, AI Business

Job Description

Job Responsibility

Requirements

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