Blend360

• Translate campaign requirements into segmentation logic, SQL queries, and executable workflows • Execute campaign code and generate list pulls using established frameworks • Validate campaign outputs through reconciliation checks, exploratory analysis, and edge case detection • Perform statistical checks to confirm segment distributions, thresholds, and suppression logic • Write, optimize, and maintain SQL queries for large-scale extraction and analysis • Support ETL workflows in SSIS (Visual Studio), including job monitoring and troubleshooting • Use Tableau and Looker for data validation and analytical slicing (not dashboard development) • Identify opportunities to automate campaign execution and validation to improve reliability and reduce risk • Ensure secure delivery and compliance through SFTP transfers, encryption/decryption, and governance standards

• Own long-term product scope, defining epics and ensuring end-to-end case journeys are captured, documented, and validated as they evolve. • Define the value-creation story for the service and assist with quarterly OKR writing at the program level. • Ensure user delight and drive product toward the internal equivalent of product-market fit. • Anticipate, identify, and address risks and blockers that could impede engineering progress. • Work with Workstream Leads to define "good enough" criteria for shipping features and inform data quality for engineering enablement. • Act as the first user of solutions, routing feedback and results to Workstream Leads and business partners for prioritization. • Monitor engagement and retention metrics to track product-market fit evolution. • Triage user feedback back to engineering teams and subject matter experts. • Operate seamlessly across strategic (quarterly scope, OKRs) and tactical (sprint mechanics, documentation) horizons simultaneously.

• Support implementation and analysis of the client’s quantitative research projects • Support the development of the questionnaires, polls, and other research instruments • Support analysis of the data gathered via quantitative or multi-source data and research • Program and deploy surveys and polls in Qualtrics • Pull the target list for research deployment from various sources/systems • Create cross-tabs and verbatim files • Append data and customer information • Assist in writing and editing reports and presentations for stakeholders • Undertake curation of the Market Intelligence repository of research reports and related materials • Lead tracking of the research projects across the enterprise • Support expansion of the VoC and VoE programs, including future integration with Salesforce, API, etc. • Additional responsibilities will include maintaining and over-time managing the clients' Customer Panel

Role Description We are looking for a Senior AI Engineer to join our LATAM team in a remote, full-time role. This position is focused on designing, building, and deploying production-ready AI systems that create meaningful impact for our clients. The ideal candidate will work across the full stack of modern AI delivery, including: - RAG pipelines - Agentic frameworks - LLM-powered solutions - Evaluation design - MLOps/LLMOps This role requires a senior technical voice who can lead end-to-end delivery, mentor other engineers, communicate effectively with stakeholders, and help clients make pragmatic decisions about what AI systems should and should not attempt. As part of this role, you will be responsible for: - Leading AI project delivery end to end, ensuring clear governance, strong stakeholder communication, and reliable execution. - Designing and building robust RAG systems, agentic frameworks, and LLM-powered solutions suitable for production environments. - Applying advanced prompt engineering techniques, including instruction design, few-shot prompting, structured outputs, and tool/agent prompts. - Leading feasibility assessments to determine the right technical approach, including prompting, RAG, fine-tuning, classical ML, or hybrid solutions. - Designing evaluation frameworks for AI systems, including LLM-as-a-judge, custom metrics, recall@k, precision@k, and go/no-go gates. - Running structured experiments across prompts, retrievers, chunking strategies, embeddings, reranking approaches, and models. - Identifying and categorizing model failures such as hallucinations, retrieval misses, instruction-following errors, and quality regressions. - Building scalable inference infrastructure and CI/CD pipelines for AI and ML models. - Automating the MLOps/LLMOps lifecycle, including tracking, versioning, deployment, monitoring, retraining, and continuous improvement. - Designing APIs, microservices, and orchestration layers optimized for latency, cost, reliability, and scalability. - Mentoring junior engineers and contributing to proposals, solution design, and new business initiatives. Qualifications - 6+ years of experience building and deploying AI, ML, or data-driven solutions in production environments. - Strong expertise in Python and solid Git practices. - Hands-on experience with LLM-powered solutions, RAG systems, and modern GenAI development patterns. - Practical experience with RAG components, including chunking, embeddings, retrieval, reranking, and evaluation. - Strong understanding of prompt engineering techniques, including structured outputs, few-shot prompting, instruction design, and tool/agent prompts. - Proven experience designing evaluation strategies for AI systems, including metrics, dataset curation, structured experimentation, and quality gates. - Experience with MLOps/LLMOps practices and tools such as MLflow, Weights & Biases, or similar platforms. - Solid cloud experience with AWS, Azure, or GCP. Azure experience is preferred. - Experience with containerization, orchestration, scalable inference, APIs, and microservices. - Understanding of event-driven architectures and production-grade engineering practices. - Ability to communicate clearly with engineering teams, senior stakeholders, and clients. - A pragmatic approach to AI delivery, balancing innovation, reliability, cost, latency, and business value. Requirements - At least 6 years of professional experience building and deploying AI, ML, or software solutions in production environments. Benefits - 🍔 Every day lunches! (headquarters): Vegetarian, vegan, gluten and sugar free options. Gourmet meals every Friday with our on-site chef! - ⚖️ Flexible working options to help you strike the right balance. - 👨🏽‍💻 All the equipment you need to harness your talent (Macbook and accessories). - ☕ Snacks and beverages available everyday (headquarters). - 🎮 After office events, football, tennis and game nights (headquarters). - ⚽️ Everyone is welcome to join our football league every Wednesday’s and Friday’s. - 📚 Learning opportunities: AWS Certifications (we are AWS Partners), study plans, courses and other certifications, English Lessons, learn from your teammates on our Tech Tuesdays! - 👩‍🏫 Mentoring and Development opportunities to shape your career path. - 🎁 Anniversary and birthday gifts. - 🏡 Great location and even greater teammates!

• Design, develop, and maintain automation solutions to improve business and operational processes. • Write, optimize, and troubleshoot complex SQL queries, stored procedures, and database objects. • Develop and maintain scripts to automate repetitive tasks and data workflows. • Collaborate with technical and business stakeholders to understand requirements and implement automation solutions. • Monitor, troubleshoot, and enhance existing automation processes. • Document automation workflows, technical solutions, and best practices. • Identify opportunities to improve system reliability, efficiency, and performance.

• Design, develop, and maintain automation solutions to improve business and operational processes. • Write, optimize, and troubleshoot complex SQL queries, stored procedures, and database objects. • Develop and maintain scripts to automate repetitive tasks and data workflows. • Collaborate with technical and business stakeholders to understand requirements and implement automation solutions. • Monitor, troubleshoot, and enhance existing automation processes. • Document automation workflows, technical solutions, and best practices. • Identify opportunities to improve system reliability, efficiency, and performance.

• Design, develop, and maintain automation solutions to improve business and operational processes. • Write, optimize, and troubleshoot complex SQL queries, stored procedures, and database objects. • Develop and maintain scripts to automate repetitive tasks and data workflows. • Collaborate with technical and business stakeholders to understand requirements and implement automation solutions. • Monitor, troubleshoot, and enhance existing automation processes. • Document automation workflows, technical solutions, and best practices. • Identify opportunities to improve system reliability, efficiency, and performance.

• Own the full account — strategy, growth execution, and P&L • Identify and close new business opportunities across the client portfolio • Negotiate pricing and engagement structures • Drive overall client satisfaction by anticipating needs and resolving issues • Connect decision makers at the client with the right Blend360 capabilities • Act as a trusted advisor to senior client stakeholders

• Support end-to-end OOH campaign planning, from audience research and market selection through to proposal delivery and execution • Build and maintain campaign plans, cost schedules, and performance summaries using internal tools • Research target audiences and analyze their characteristics, behaviors, and media habits • Collaborate with account managers, clients, and creative teams to align on objectives and strategies • Become a proficient user of the clients planning platform, and surface product feedback to senior team members • Manage relationships with OOH media vendors and support negotiations under the guidance of senior planners • Juggle tasks across multiple active campaigns simultaneously, meeting internal and client deadlines

• Support end-to-end OOH campaign planning, from audience research and market selection through to proposal delivery and execution • Build and maintain campaign plans, cost schedules, and performance summaries using internal tools • Research target audiences and analyze their characteristics, behaviors, and media habits • Collaborate with account managers, clients, and creative teams to align on objectives and strategies • Become a proficient user of the clients planning platform, and surface product feedback to senior team members • Manage relationships with OOH media vendors and support negotiations under the guidance of senior planners • Juggle tasks across multiple active campaigns simultaneously, meeting internal and client deadlines