About the Role Company is seeking a highly experienced ASP.NET Lead Architect / Senior Developer to join our team. This role is ideal for a deeply technical professional with proven experience in designing, optimizing, and maintaining high-performance systems within the .NET 5 and Azure ecosystem. You will play a critical role in ensuring scalability, cost efficiency, and top-tier performance of our technology stack while leading the development of new features and delivering timely bug fixes. This is a highly technical role, requiring advanced problem-solving skills, attention to detail, and the ability to mentor and guide peers in best practices. Responsibilities Architecture & Optimization Revamp and fine-tune our ASP.NET web application stack for performance, cost effectiveness, and scalability. Design and optimize high-performance API services, proxy technologies, and multi-tenant database infrastructures. Development Build new features across backend, web, and mobile applications. Ensure clean, maintainable, and scalable code with strong adherence to standards. Support legacy Xamarin components where necessary. Maintenance & Operations Quickly troubleshoot and fix bugs. Oversee CI/CD pipelines to ensure smooth deployments. Work with monitoring and observability tools to maintain system health. Collaboration Collaborate closely with cross-functional teams (product, QA, DevOps). Communicate clearly in English (spoken and written) with stakeholders across geographies. Handle “overly confident developers” tactfully, ensuring technical transparency and simplicity. Tech Stack Programming Languages C# / .NET 5 / ASP.NET Core – Core backend services, API layer, and daemon services TypeScript + Angular – Shopify embedded apps, admin portal, CRM features React Native (JavaScript/TypeScript) – Mobile apps (iOS/Android, offline capabilities) Liquid – Shopify storefront & embedded UI integration XML – Domain modeling + code generation workflows SQL (T-SQL) – Azure SQL Server (master + tenant databases) NoSQL (CosmosDB / MongoDB API) – Operational data, caching, and sync storage Frameworks & Libraries .NET 5 – Services and APIs Xamarin.Forms – Legacy mobile components Entity Framework Core – ORM for SQL backends Mermaid – C4 diagrams (context/container/component) Custom XML CodeGen Tools – Auto-generating scaffolding Platforms & Infrastructure Azure Cloud – Core hosting environment Azure SQL Database – Master + tenant-sharded stores Azure CosmosDB – JSON/NoSQL operational store Azure Blob Storage – File storage (documents, exports, results) Azure Service Bus – Messaging, event routing, background jobs Shopify – E-commerce storefront + embedded integration SendGrid – Transactional/notification emails Klaviyo – Marketing automation and campaigns Calendly – Scheduling integration USPS API – Label generation, shipping automation Twilio – SMS messaging and alerts Observability & Ops Logging/Tracing – Azure Monitor + custom observability layer Metrics – Prometheus-style metrics capture integrated with .NET services Backup/Restore – Azure SQL backups + Mongo dump strategies CI/CD – Git-based pipelines with automated deployments Required Qualifications 15+ years of professional development experience in complex systems. Deep expertise in ASP.NET Core, .NET 5, and Azure. Strong understanding of multi-tenant architectures, performance optimization, and cost-effective scaling. Demonstrated ability to lead technical initiatives and mentor other developers. Advanced English (spoken and written): capable of leading meetings, writing documentation, and engaging in negotiations. Proven track record of delivering high-quality, scalable systems. Soft Skills Trustworthy, respectful, and honest. Hardworking and committed to delivery. High attention to detail. Collaborative, not difficult to work with, and effective in managing differing personalities within the team. Interview Process 2–3 interview stages, including technical and behavioral assessments. Final decision made by Company’s senior leadership in coordination with the hiring manager.
Position Title: Ssr Frontend Engineer (Mobile & Web) Location: Híbrido/Remoto según la necesidad Employment Type: Full-time Experience Level: Semi-Senior Acerca de Nosotros Somos una compañía en rápido crecimiento que está definiendo lo que significa ser una Insurtech. Nuestra misión es reinventar la integración entre tecnología y seguros, creando productos escalables, ágiles y con un impacto real en nuestros clientes. Para lograrlo, necesitamos bases técnicas sólidas. Resumen del Puesto Buscamos un Ssr Frontend Engineer con sólida experiencia en desarrollo mobile usando React Native y experiencia en desarrollo web. Vas a ayudarnos a crear experiencias de usuario ágiles, confiables y de alta calidad en nuestras apps móviles y aplicaciones web. Este rol es ideal para alguien con espíritu emprendedor y mentalidad de startup, que disfrute trabajar en distintos entornos, resolver desafíos de UI/UX y crecer en un ambiente dinámico. Responsabilidades Clave Desarrollar y mantener nuestras apps móviles con React Native, incluyendo módulos nativos cuando sea necesario (Swift/Objective-C, Kotlin/Java). Contribuir al desarrollo de nuestras aplicaciones web usando frameworks modernos (React). Colaborar con diseñadores y backend engineers para entregar features end-to-end. Asegurar la performance, usabilidad y accesibilidad en todas las plataformas. Mantenerse actualizado en mejores prácticas de desarrollo mobile y web. Habilidades y Experiencia Requeridas Experiencia: 2 a 4 años de experiencia en ingeniería frontend. Dominio: React Native. Conocimiento: Experiencia en frontend web (React, JavaScript/TypeScript, HTML, CSS). Capacidad: Para trabajar con APIs e integrar servicios backend. Familiaridad: Con herramientas de build mobile y procesos de publicación en stores. Habilidades Blandas: Buenas habilidades de comunicación, mentalidad colaborativa y pasión por crear experiencias de usuario fluidas y de calidad. Habilidades Deseables Conocimientos de desarrollo nativo mobile (iOS o Android) son un plus. Beneficios: Cultura flexible y de confianza, equipos pequeños con alta visibilidad e impacto real, crecimiento acelerado, horarios flexibles y un ambiente dinámico, innovador y sin burocracia. Por qué unirte: Ser parte de un equipo de producto en crecimiento, construyendo apps desde cero, donde cada una de tus decisiones tendrá un impacto directo en el futuro de la compañía. Trabajar en una cultura startup, con velocidad, iteración y autonomía. Exposición a múltiples plataformas: mobile y web. Oportunidad de aprender y crecer hacia un rol senior con mayor "ownership".
Remote: Colombia or LATAM We are seeking a highly motivated and detail-oriented QA Analyst to join our team. The ideal candidate will be responsible for ensuring the quality and reliability of our web platforms through comprehensive testing and automation. This role requires a strong understanding of web technologies, testing methodologies, and experience with modern automation tools like Reflect and Tosca, as well as proficiency in API testing with Postman, database testing with SQL, and the ability to effectively gather and analyze requirements. Responsibilities Gather, analyze, and document software requirements from various sources. - Translate business requirements into clear and concise testable specifications. - Participate in requirements review meetings and provide constructive feedback. - Identify and clarify ambiguities in requirements. - Develop and execute test plans, test cases, and test scripts for web platforms. - Perform functional, regression, integration, and performance testing. - Identify, document, and track defects using bug tracking systems. - Collaborate with developers, product managers, and other stakeholders to ensure quality throughout the software development lifecycle. - Design, implement, and maintain automated test suites using automated tools. - Analyze test results and provide detailed reports. - Stay up-to-date with the latest testing trends and technologies. - Participate in code reviews and contribute to process improvements. - Create and maintain test data. - Perform API testing using Postman to validate web services. - Execute SQL queries to validate data integrity and perform database testing.Requisitos:- Bachelor's degree in Computer Science, Software Engineering, or a related field. - Proven experience as a QA Analyst, with a focus on web platform testing. - Strong understanding of web technologies (HTML, CSS, JavaScript). - Experience with manual and automated testing methodologies. - Hands-on experience with test automation tools, specifically Reflect, Tosca, Selenium or Functionize. - Familiarity with bug tracking systems (e.g., Jira, Bugzilla). - Excellent analytical and problem-solving skills. - Strong communication and collaboration skills. - Proficiency in API testing with Postman. - Strong SQL skills for database testing and data validation. - Ability to effectively gather and analyze requirements. - Strong ability to document requirements.
Forward Deployed Engineer (AI Solutions) · Full-time · 100% remoto · Alta autonomia · Alto impacto Estamos criando um Agente de IA para vendas que guia prospects de ponta a ponta, 24/7, de forma consultiva — aumentando conversão e eficiência de forma radical. Esta não é uma vaga de engenharia, vendas ou sucesso do cliente tradicional. É a fusão das três. Buscamos um(a) profissional brilhante para ser o elo entre nossa tecnologia de ponta e o sucesso de nossas maiores contas. Você será a pessoa que traduz desafios complexos de negócio em soluções de IA que geram milhões em receita. Você vai construir o futuro das vendas, um cliente de cada vez. Quem Somos Uma plataforma de geração de receita inteligente. Nossos agentes autônomos entendem, conversam e convertem leads em clientes reais — com consistência, personalização e eficiência. Somos uma startup em ritmo intenso, com uma visão de longo prazo. Aqui, construímos com propósito, operamos com autonomia, e valorizamos impacto real. O Que Você Vai Fazer Liderar a implementação ponta a ponta do nosso Agente de IA em contas enterprise, desde o kickoff estratégico até o go-live e a otimização contínua. Atuar como um consultor de confiança: mergulhar no funil de vendas, processos e dados do cliente para desenhar a solução ideal. Desenvolver e otimizar Agentes de IA: usar prompt engineering, lógica condicional e análise de dados para criar "vendedores" autônomos de alta performance. Gerenciar o projeto e o relacionamento: ser o ponto de contato principal para stakeholders (incluindo C-level), alinhar expectativas, comunicar resultados e garantir a satisfação do cliente. Definir e monitorar KPIs de sucesso: analisar métricas de conversão, engajamento e ROI, apresentando relatórios de impacto que justifiquem a expansão do projeto. Identificar e executar oportunidades de upsell e cross-sell, atuando como dono(a) do P&L da sua carteira de clientes. Colaborar diretamente com o time de Produto e Engenharia, trazendo feedback do "campo de batalha" para guiar nosso roadmap. Perfil Ideal Raciocínio lógico excepcional: você resolve problemas de forma estruturada e rápida. Gosta de quebrar um problema gigante em partes menores e executáveis. Experiência em posições client-facing: já atuou em consultoria, engenharia de soluções, pré-vendas, implementação de software ou sucesso do cliente técnico. Você sabe se comunicar com clareza e construir confiança. Paixão por tecnologia e IA: você não precisa ser um programador sênior, mas precisa entender de APIs, ter lógica de programação sólida e estar genuinamente animado(a) com LLMs, prompt engineering e o potencial da IA. Visão de Negócio: entende o que é um funil de vendas, CAC, LTV e ROI. Consegue conectar uma solução técnica a um resultado financeiro. Mentalidade de dono(a): você trata a carteira de clientes como se fosse sua própria empresa. É proativo(a), organizado(a) e incansável na busca por resultados. Comunicação de alto nível: consegue explicar conceitos técnicos complexos para uma audiência não-técnica e apresentar resultados para executivos. Resiliência e adaptabilidade: prospera em um ambiente de startup dinâmico, onde as prioridades mudam e o aprendizado é constante. Faz acontecer. Plus: Experiência prévia com produtos de IA, MarTech ou SalesTech. Conhecimento prático de SQL para análise de dados. Experiência com CRMs (Salesforce, HubSpot) e ecossistemas de vendas. Já empreendeu ou liderou projetos com alto grau de autonomia. Por Que Essa Vaga é Diferente? Você não será um "recurso" ou uma engrenagem. Você será o motor de receita e inovação na linha de frente. Terá autonomia para tomar decisões, acesso direto à liderança e a oportunidade de moldar como grandes empresas usarão IA nos próximos anos. Seu trabalho terá um impacto visível, medível e imediato no sucesso dos nossos clientes. Nossos Princípios Entregar Valor Real: Não criamos coisas inúteis. Eficiência Inteligente: Construímos de forma enxuta. Transparência Radical: Sem enrolação, sem politicagem. One Ship: Estamos todos no mesmo barco. Mantenha Leve: Levamos o trabalho a sério — mas não a nós mesmos. Guiados por um Norte Verdadeiro: Fazer a coisa certa não é opcional.
Own model serving for multiple LLM/speech models on Modal. Build and maintain the APIs around those models. Create the feedback/eval loop to improve quality while meeting strict latency/cost SLOs. Responsibilities Host and scale real-time & batch inference on Modal (autoscaling, images/volumes/secrets). Operate a multi-model fleet (versioning, routing, canaries/blue-green, traffic shaping). Ship endpoints; auth, RBAC, quotas, rate limits, telemetry. Implement feedback pipelines, online A/B evals, and guardrails with actionable alerts. Drive performance: profiling, batching, quantization, KV-cache, runtime tuning. Establish observability and reliability (OTel, metrics/logs, SLOs, runbooks, on-call). CI/CD and IaC for reproducible builds and one-click rollbacks. Must-haves 5+ years in ML Ops/Platform/SRE with production LLM/ML serving. Strong Python; high-throughput async APIs (FastAPI/Starlette) and GitHub-based CI/CD. Deep experience with vLLM, TensorRT-LLM, Triton, or ONNX Runtime. Hands-on with Modal or equivalent GPU/k8s platform. Solid observability (OTel) and incident response/postmortems. Preferred ONNX export expertise (PyTorch→ONNX), quantized/dynamic graphs, custom ops. Safety/guardrails and constrained decoding. Systems perf (CUDA/Triton kernels) or Rust for hot paths; load/chaos testing.
Job Summary: A consulting firm specialized in SAP Analytics Cloud (SAC) implementations is seeking a Senior Consultant (technical and/or functional profile) with strong experience in SAC Planning. The role involves working on end-to-end planning projects for large companies, contributing to model design, advanced SAC configuration, client training, and solution delivery. The ideal candidate is proactive, analytical, and capable of working independently while collaborating in agile teams. Key Responsibilities: Lead or participate in the implementation of SAC Planning projects for enterprise clients. Design customized planning models based on each client’s management style and business needs. Configure SAP Analytics Cloud Planning modules: ○ Stories ○ Data Actions ○ Data Imports/Exports Integrate SAC with SAP HANA, BW, or other SAP modules. Translate client requirements into functional and technical specifications. Document project deliverables and configurations with clear, well-structured writing. Provide training to both internal consultants and client stakeholders. Participate in daily stand-ups and agile workflows with the project team. Act as a consultative partner to clients, offering best practices and recommendations. Required Qualifications: Required Qualifications: Bachelor’s degree in Engineering, Information Systems, Business Administration, Accounting, or similar. Minimum 3 years of hands-on experience with SAP Analytics Cloud Planning. Solid understanding of financial planning and budgeting processes. Proficiency in configuring SAC (stories, data actions, import/export). Experience integrating SAC with SAP HANA or similar systems. Strong written communication and structured documentation skills. Advanced Excel knowledge. Proven ability to work independently and lead client conversations. Availability for occasional travel. Valid passport (required for non-Mexico-based candidates). Ability to read and understand technical content in English. Preferred Qualifications: Experience with SAP BPC (Business Planning and Consolidation). Familiarity with SAP DataSphere and/or SAP Joule. Participation in functional design or requirements gathering workshops. High level of soft skills: teamwork, adaptability, assertiveness, and client diplomacy. Experience mentoring or training colleagues and users. Spoken English proficiency is a plus
We are hiring a QA Engineer to lead and execute both manual and automated testing including web, REST APIs, and potentially mobile/watch apps. You’ll design and run comprehensive test suites, validate key features, and contribute to automation pipelines in collaboration with developers and DevOps. Key Responsibilities Design, document, and execute test cases and test scenarios based on product requirements Perform both manual testing and automated testing across web, API, and optionally mobile platforms Build and maintain automated test suites using Selenium, Cypress, REST Assured, Postman, or JMeter Work closely with engineering teams to catch defects early and improve code/test coverage Contribute to CI/CD test automation and reporting integration Document bugs, analyze root causes, and validate resolutions First 90 Days Deliver comprehensive test coverage for web and API components of our cardio application Launch and validate the first wave of automated tests within our CI/CD pipeline Collaborate cross-functionally to integrate QA processes into the release cycle Establish baseline quality metrics and defect tracking systems Tools & Stack Testing Tools: Selenium, Cypress, Postman, REST Assured, JMeter Testing Types: Functional, regression, integration, load, and exploratory Focus Areas: Web app, REST APIs, potentially smartwatch/mobile apps CI/CD Integration: Azure DevOps, GitHub Actions Success Metrics High test case execution coverage Timely detection and resolution of critical defects CI/CD pipeline integration for automated test suites Reliable test documentation and communication Requirements 4–8 years of QA experience in software testing Experience with both manual and automated testing Familiarity with API testing and tools like Postman and REST Assured Working knowledge of automation frameworks (Selenium/Cypress/etc.) Strong attention to detail and remote documentation habits Fluent English and ability to work overlapping US hours Other Details Work arrangement: Remote, offshore Workload: Full-time (40+ hours/week) Interview process: Technical interview + management interview Soft skills: Communication, documentation, startup agility Compensation: TBD
We're seeking an experienced LLM/ML Specialist with deep expertise in LLaMA models or other open source and Retrieval-Augmented Generation (RAG) systems. The ideal candidate will have strong skills in model fine-tuning, prompt engineering, and production deployment of language models. You'll build and optimize RAG pipelines, implement vector databases, and develop efficient inference solutions. Requirements include 2+ years of LLM experience, Python proficiency with PyTorch/Hugging Face, and demonstrated projects involving LLaMA models. Technical Skills: Deep understanding of LLaMA model architecture and its variants Experience fine-tuning and adapting LLaMA models for specific applications Proficiency in Python and ML frameworks (especially PyTorch and Hugging Face) Knowledge of prompt engineering specific to LLaMA models Experience with efficient inference and quantization techniques for LLaMA Understanding of model deployment and optimization for large language models Expertise in Retrieval-Augmented Generation (RAG) systems and architectures Experience implementing vector databases and similarity search techniques Knowledge of document chunking and embedding strategies for RAG Familiarity with evaluation metrics for RAG systems Qualifications: Machine Learning, NLP, Computer Science, or related field 2+ years of experience working with large language models, preferably LLaMA Strong mathematical background in statistics and probability Demonstrated projects involving LLaMA model adaptation or deployment Excellent communication skills to explain complex concepts Proven experience building and optimizing RAG pipelines in production environments Preferred: Experience with PEFT methods (LoRA, QLoRA, etc.) for LLaMA models Experience with fine-tuning Understanding of model limitations and ethical considerations Experience with LLaMA integration into production systems Familiarity with open-source LLM ecosystems Experience with hybrid search methodologies (dense + sparse retrieval) Knowledge of context window optimization techniques for RAG systems Experience with multi-stage retrieval architectures Responsibilities: Design and implement LLaMA-based solutions for real-world applications Develop, optimize, and deploy RAG systems using vector databases and embedding strategies Fine-tune LLaMA models using techniques like LoRA and QLoRA Create efficient prompt engineering strategies for specialized use cases Implement and optimize inference pipelines for production environments Design evaluation frameworks to measure model and RAG system performance Collaborate with engineering teams to integrate LLMs into product infrastructure Research and implement the latest advancements in LLM and RAG technologies Document technical approaches, model architectures, and system designs Mentor junior team members on LLM and NLP best practices What We Offer: Opportunity to work on cutting-edge LLM and RAG applications Access to computational resources for model training and experimentation Collaborative environment with other ML/AI specialists Flexible work arrangements with remote options Competitive salary and comprehensive benefits package Professional development budget for conferences and courses Clear career progression path for AI specialists Chance to contribute to open-source LLM ecosystem Balanced workload with dedicated research time Inclusive culture that values diverse perspectives and innovative thinking
Sr Backend & Infrastructure Engineer Position Title: Sr Backend & Infrastructure Engineer Location: Híbrido/Remoto según la necesidad Employment Type: Full-time Experience Level: Senior Acerca de Nosotros Somos una compañía en rápido crecimiento que está definiendo lo que significa ser una Insurtech. Nuestra misión es reinventar la integración entre tecnología y seguros, creando productos escalables, ágiles y con un impacto real en nuestros clientes. Para lograrlo, necesitamos bases técnicas sólidas. Resumen del Puesto Estamos buscando un ingeniero fundacional que sea dueño tanto del desarrollo backend como de la infraestructura y plataforma. Este es un rol de alto impacto donde tus decisiones van a marcar el rumbo tecnológico de la compañía por años. Buscamos a alguien con una mentalidad de startup que esté listo para tomar decisiones y comprender que cada una de ellas tendrá un impacto directo en el futuro de la compañía. No solo vas a construir, también vas a decidir cómo se hacen las cosas, desde la selección de lenguajes y frameworks hasta la estrategia de escalabilidad. Responsabilidades Clave Diseñar y desarrollar nuestros servicios y APIs backend desde cero. Definir nuestro stack tecnológico (lenguajes, frameworks, herramientas de infraestructura). Configurar y administrar la infraestructura en la nube (de Dev a Producción). Implementar pipelines de CI/CD y flujos modernos de desarrollo. Establecer monitorización, logging y alertas para garantizar la confiabilidad. Crear estándares de seguridad y buenas prácticas desde el día uno. Ser la referencia principal en backend e infraestructura a medida que la compañía crece. Habilidades y Experiencia Requeridas Experiencia: Más de 5 años de experiencia en ingeniería backend y/o infraestructura. Habilidades Técnicas: Sólidas habilidades de programación y diseño de sistemas backend. Conocimiento de Nube: Experiencia práctica con al menos un proveedor de nube (AWS, Azure, GCP). Infraestructura: Conocimiento en automatización de infraestructura (Terraform, Ansible, etc.). Herramientas: Experiencia implementando CI/CD y herramientas de observabilidad. Habilidades Blandas: Mentalidad de "builder", alto sentido de "ownership" y ganas de moverse rápido en un entorno dinámico. Por qué unirte Rol fundacional: Tus decisiones van a definir nuestro stack y futuro tecnológico. Alto impacto: Vas a construir las bases técnicas de una compañía en expansión. Cultura startup: Velocidad, iteración, innovación y autonomía. Crecimiento acelerado: Vas a escalar junto a la compañía. Beneficios: Cultura flexible y de confianza, equipos pequeños con alta autonomía y visibilidad, horario flexible y un ambiente dinámico y sin burocracia. Beneficios Cultura flexible y de confianza: trabajo híbrido/remoto según necesidad. Equipos pequeños → alta autonomía y visibilidad de tu trabajo. Crecimiento acelerado: vas a escalar junto a la compañía. Horario flexible orientado a resultados, no a control de horas. Ambiente de startup: dinámico, innovador y sin burocracia. 👉 Si te motiva construir desde cero y ser dueño tanto del backend como de la infraestructura, ¡queremos conocerte!
About Us Is first AI-powered assistant for sustainability teams at consumer brands. We helps brands with tracing their supply chains, communicate their efforts to consumers, stay compliant with regulations like the EU Digital Product Passport, and stop wasting time on manual work. We’re pre-seed and working with early pilot brands. This is a ground-floor opportunity to join a fast-moving, mission-driven startup and help build a product with real-world impact. If you’re excited to co-build a mission-driven product from the ground up, shape real decisions, and earn meaningful ownership, this is the kind of experience that defines careers. About the Role You’ll work directly with the CEO to design and ship the first version of the product, integrate LLMs for automated workflows, and co-create a platform that helps sustainability teams actually move the needle. This role is ideal for someone who wants to have a positive impact in the world, work directly with really cool customers, build a product from scratch, and take full ownership over the technology and its direction. What You’ll Do Build and iterate on core platform and AI agent Own development across the stack: Lead architecture and backend decisions (Node, Postgres, Supabase) Supercharge our users’ interactions with the web (React) Unleash the power of AI for our customers (OpenAI, MCP, RAG) Evangelize agents coding tools like Cursor or Claude Code to multiply engineering impact Talk to users, gather feedback, and prototype quickly Lay the foundation for a high performing engineering organization ready to scale with the business, including culture, CI/CD, version control, and SDLC process Help shape product strategy and grow the engineering team What We’re Looking For 3+ years of full-stack development experience Strong background in modern full stack development. Our stack is DynamoDB, AWS, React, Redux, OpenAI, and Python (but this can be changed) Demonstrable experience with LLMs, agent frameworks, or workflow automation Excited about building something that drives impact in sustainability Comfortable working in ambiguity and iterating quickly, in a startup environment Clear communicator who’s proactive and self-directed Hungry to grow and ready to own a big piece of something early What You’ll Get A say in product, strategy, and company direction Experience building a real AI product in a high-impact industry A chance to work closely with brands that are shaping the future of sustainable fashion Room to lead, experiment, and make things happen