#LI-KG1 #LI-REMOTE

Why You'll Love This Role: 

We're looking for an experienced ML Ops Engineer to join the ML/AI team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines.  This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale.

What You'll Be Doing:

• Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
• Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
• Automate infrastructure provisioning and service configuration with Terraform.
• Work to maintain and scale services that make use of third party LLM providers.
• Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows.
• Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints.
• Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving.

About You:

• 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE.
• Strong proficiency in Python.
• Hands-on experience with Docker containerization and container orchestration.
• Solid understanding of CI/CD for ML workflows in an enterprise production environment.
• Experience with Infrastructure as Code, preferably Terraform.
• Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).
• Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).
• Experience building and maintaining data pipelines for ML training and feature engineering
• Familiarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioning
• Experience monitoring and flagging model drift over time.
• Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformers
• Knowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systems
• Experience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settings
• Familiarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)
• Working knowledge of ML serving frameworks such as BentoML or similar.
• Comfort working with FastAPI or similar async Python web frameworks.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

We're looking for a AI Engineer to join AI & Data Team. The Senior AI Engineer will lead the design, development, and deployment of cutting-edge AI solutions particularly those involving Large Language Models (LLMs), intelligent agents, and AI systems that integrate seamlessly into production-grade software. This person will work independently with minimal supervision while collaborating across teams to deliver intelligent, scalable, and reliable applications.

They will be responsible not only for crafting models and prototypes, but also for embedding these into robust applications, building APIs, writing clean code, and ensuring the operational success of AI-powered features in real-world environments.

The main objective of this role is to bridge AI innovation and software engineering excellence deploying LLMs, agents, and smart systems into full-stack products and production infrastructure.

What are the main responsibilities of this role? 

• Design and implement LLM-based solutions (e.g., RAG systems, multi-agent tools, copilots).
• Fine-tune, evaluate, and deploy open-source and proprietary foundation models.
• Build end-to-end AI-powered features in collaboration with product and engineering teams.
• Create scalable APIs and services to expose AI functionality to frontend/mobile clients.
• Own the lifecycle of AI features from experimentation to deployment and monitoring.
• Collaborate with DevOps to implement CI/CD pipelines and infrastructure-as-code for AI services.
• Implement observability, error tracking, and performance monitoring on deployed AI features.
• Evaluate and experiment with diverse AI frameworks and libraries (LangChain, Transformers, OpenAI SDKs, etc.).
• Lead technical discussions and mentor peers in AI best practices and architecture.
• Identify AI-driven product opportunities by working closely with clients or internal teams.

Which skills and experience do we envision for this role?

• +4 years of experience in AI/ML-focused roles with shipped software products.
• Hands-on experience with LLMs (OpenAI, Claude, Mistral, open-source models) and agent frameworks (LangChain, AutoGPT, etc.).
• Proficiency in prompt engineering, vector databases (Pinecone, Weaviate, etc.), and embedding strategies.
• Experience with testing AI systems using tools such as Promptfoo, Giskard, etc
• Solid Python skills, with experience building APIs using FastAPI, Django, or similar.
• Production experience with cloud platforms (AWS, GCP, or Azure) and tools like Docker, Terraform, Kubernetes.
• Good software development practices: testing, code reviews, version control (Git), and modular design.
• Experience deploying and monitoring AI systems in production.
• Familiarity with MLOps and model deployment workflows is a plus.

Join our team and enjoy:

• Access to Rootstrap University,Conferences/Certifications, and a Mentorship Program for your professional growth.
• Learning Bonus 
• Opportunities to organize cross-functional initiatives and receive 360 Feedback to improve your skills continuously.
• The flexibility to work remotely or from our offices in Montevideo, Buenos Aires, and Medellín, with a flexible time schedule and Workation program.
• Gym benefits, psychological counseling, and weekly lunch reimbursements with special foods in the offices.
• An Onboarding kit and access to cutting-edge technologies and tools to make your work easier.
• Referrals program bonuses, After offices, Prizes, and special occasions gifts to celebrate your achievements.
• People Care referent to support your well-being and personal development.

We value your well-being and happiness. We grow together!

How we work:

• We offer a flexible and diverse work environment that fosters multicultural talent
• We value autonomy and creativity, We want people to bring ideas to the table and to think as leaders.
• We put our focus on real human connections
• We have a commitment to excellence

At Rootstrap, we help companies launch, grow, and scale their digital products and services. With over 290 global team members, we’ve built solutions for industry leaders like MasterClass, Universal, and Google, as well as for innovative startups and inspired pioneers. Our team takes pride in making an impact that goes beyond the code, earning regular recognition as a Fastest Growing Company and Best B2B Service Provider.

We embrace an AI-first mindset, continuously exploring how artificial intelligence can enhance the way we build products, solve problems, and deliver value. Across all stages of the development process, we encourage our teams to actively leverage AI to boost productivity and drive innovation.

With offices in Uruguay, Argentina, and Colombia, we offer the flexibility to work remotely. Discover more about life at Rootstrap at https://www.rootstrap.com/careers.

All of our candidate searches are covered under Uruguayan Law 19691 (the purpose of this law is to promote the inclusion of people with disabilities).

As part of our Security and Compliance process, all seniority levels and roles must follow the company’s information security policies and secure development practices, and promptly report any suspected security incidents or vulnerabilities.

What is Cobre, and what do we do?

Cobre is Latin America’s leading instant b2b payments platform. We solve the region’s most complex money movement challenges by building advanced financial infrastructure that enables companies to move money faster, safer, and more efficiently.

We enable instant business payments—local or international, direct or via API—all from a single platform.

Built for fintechs, PSPs, banks, and finance teams that demand speed, control, and efficiency. From real-time payments to automated treasury, we turn complex financial processes into simple experiences.

Cobre is the first platform in Colombia to enable companies to pay both banked and unbanked beneficiaries within the same payment cycle and through a single interface.

We are building the enterprise payments infrastructure of Latin America!

What we are looking for:

The Cobre Infrastructure team and their SRE engineers are professionals who face the daily challenges that allow us to improve the technological level of our products. We enjoy each project or task, giving 100% and learning from each other. Our main goal is to maintain the reliability of our systems. To achieve this, we collaborate with other teams to find the most effective solutions, maintain high-reliability processes, adopt the necessary safety measures and optimize time and cost in every decision.

We are evolving from traditional SRE practices toward a true Platform Engineering model, where infrastructure is abstracted, automated, and productized. This role is about building and evolving the Internal Developer Platform (IDP) that enables our engineers to ship faster, safer, and with less cognitive load.

If you are passionate about cloud-native systems, automation, DevEx, and platform thinking, this role is for you.

What would you be doing:

• Own, maintain, and evolve the Internal Developer Platform (Port.io) as a product and maintain integrations between the IDP and ecosystem tools such as Jenkins/CircleCI, ArgoCD, Terraform, Pulumi, AWS, K8S…
• Design and implement scalable platform capabilities that abstract infrastructure complexity from development teams.
• Build and maintain backend services (Python) that power IDP workflows: scaffolding, self-service actions, validations/guardrails, and orchestration.
• Design APIs and event-driven integrations to connect the IDP with CI/CD, GitOps, IaC, and observability tools.
• Develop reusable libraries and internal services to standardize platform logic across squads (authentication, permissions, templates, audit trails).
• Ensure the platform reduces developer cognitive load and accelerates delivery without compromising security or reliability.
• Provide documentation, internal training, and enablement materials to drive platform adoption, acting as a platform evangelist across squads.
• Implement AI-driven automation and operational intelligence to improve operational efficiency.
• Contribute to incident management and root cause analysis when platform services are involved.
• Lead platform roadmap discussions aligned with business and engineering strategy.

What do you need:

• 5+ years of experience in Platform Engineering, SRE, or DevOps roles in cloud-native environments.
• In-depth technical knowledge of microservices architecture and cloud platforms (e.g., AWS, Kubernetes), along with proficiency in Infrastructure as Code (IaC) tools (e.g., Terraform, Pulumi).
• Strong experience designing and operating Internal Developer Platforms (Port.io, Backstage or similar) and building production-grade backend services with Python (e.g., FastAPI/Flask), including REST APIs, async workers, background jobs, and integration services.
• Solid engineering practices: testing (unit/integration), CI pipelines, code quality, versioning, and secure API design (authn/authz, secrets handling).
• Nice to have experience with event-driven patterns (queues, pub/sub) and designing reliable integrations between systems.
• Experience integrating multiple engineering tools into cohesive developer workflows.
• Product mindset: ability to treat the platform as an internal product with roadmap, stakeholders, and measurable outcomes.
• Strong mindset for automation and continuous improvement with a huge interest in AIOps / AI-driven auto-remediation (n8n, aws bedrock, scripting python…)
• Understanding of secure-by-design infrastructure principles.
• Exceptional communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders.
• Ability to actively listen and understand diverse team and stakeholder needs, demonstrating empathy in decision-making and conflict resolution.

NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are seeking a highly experienced and hands-on Senior AI Engineer (GenAI & Agentic Systems) to lead the design, development, and scaling of next-generation Agentic AI systems and GenAI applications. In this role, you will own the technical direction of complex AI solutions, bridging cutting-edge LLM capabilities with robust, production-grade software.
You will architect multi-agent systems, define best practices for RAG pipelines, and lead the development of scalable backend and cloud-native infrastructure on Google Cloud Platform (GCP). This role requires both deep technical expertise and the ability to guide teams in building reliable, secure, and high-performing AI systems.

Key Responsibilities

Agentic AI & GenAI Architecture

• Lead the design and implementation of advanced agentic architectures, including multi-agent orchestration, tool usage, planning, memory management, and self-reflection patterns using platforms such as Google ADK.
• Define and standardize RAG architectures, including retrieval strategies, context engineering, hybrid search, re-ranking, and optimization of latency, accuracy, and cost.
• Establish prompt engineering standards and governance, ensuring consistency, reliability, and scalability across use cases.
• Design and implement evaluation frameworks to measure model performance (hallucination rates, precision/recall, response quality).
• Define observability strategies for multi-agent systems, including tracing, debugging, and performance monitoring.

Backend & Systems Engineering Leadership

• Architect and oversee development of scalable, asynchronous backend systems and APIs using FastAPI or similar frameworks.
• Define best practices for system integration, enabling AI agents to interact securely with enterprise systems, APIs, and external tools.
• Ensure high standards in software design, modularity, performance, and reliability across services.

Cloud Architecture & MLOps

• Lead the design and deployment of cloud-native AI solutions on GCP, ensuring scalability, resilience, and cost optimization.
• Define containerization and orchestration strategies using Docker and Kubernetes (GKE).
• Establish and improve CI/CD pipelines, testing frameworks, and release processes for AI systems.
• Oversee database architecture, including vector search (pgvector) and relational data management.

Technical Leadership & Collaboration

• Provide technical leadership and mentorship to engineers, promoting best practices in AI/ML and software engineering.
• Collaborate with product, data, and engineering teams to translate business needs into scalable AI solutions.
• Drive architecture decisions, code reviews, and technical standards across projects.
• Ensure alignment with security, privacy, and governance standards, especially for GenAI applications.

Required Qualifications

• 5+ years of software engineering experience, with 2–3+ years building and deploying production-grade AI/LLM systems.
• Expert-level proficiency in Python, including asynchronous programming (AsyncIO).
• Strong experience designing and implementing RAG pipelines, vector search, and GenAI systems.
• Proven experience architecting multi-agent systems or complex AI workflows.
• Deep experience with FastAPI (or similar frameworks) for building scalable backend services.
• Strong knowledge of PostgreSQL and vector databases (pgvector or equivalent).
• Hands-on experience with GCP, including deploying and managing applications in cloud-native environments.
• Strong experience with Docker, Kubernetes (GKE), and CI/CD pipelines.
• Solid understanding of distributed systems, API design, and software architecture principles.
• Experience implementing evaluation, monitoring, and observability for AI systems.
• Strong communication skills and ability to work in cross-functional teams.
• English proficiency – B2+/C1 preferred.

Preferred Qualifications (Nice-to-Haves)

• Hands-on experience with Google ADK (Agent Development Kit) or similar agent orchestration frameworks.
• Experience with real-time systems, including streaming responses (WebSockets, SSE).
• Familiarity with additional GenAI frameworks (e.g., LangChain, LlamaIndex) for broader architectural perspectives.
• Experience implementing security, guardrails, and PII protection in AI systems.
• Background in scaling AI systems in enterprise environments.
• Experience leading or contributing to architecture design reviews and technical roadmaps.

We offer:

• Professional growth
• Dynamic work environment
• Competitive salary
• Attractive benefits plan
• Benefits of law and superiors
• Development opportunities

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Marina Molina 

#LI-MM3

Fullstack Engineer

Searching for a Fullstack Engineer (long-term contractor) to work from home in the Medellín, Colombia area! Please submit your CV/Resumé in English, thank you!

Do you get fired up about building seamless end-to-end experiences—designing sleek, responsive frontends with Vue.js, TypeScript, and CSS, and powering them with solid, scalable backends in Python and SQL? Do you thrive when you're solving real, complex problems and bringing ambitious ideas to life? We're building modern web apps that go beyond the basics—incorporating AI, machine learning, and video analysis to unlock what’s next. We’re looking for engineers who communicate with clarity, love to collaborate, and aren’t shy about showing their work. If you’re excited to jump in, make an impact, and help shape where we’re headed, we’d love to have you on board.

Responsibilities

• Front-End Excellence
• Implement new user-facing features in the Linqia Platform using Vue.js, Vuex, and TypeScript.
• Translate conceptual ideas (business needs and user goals) into intuitive and engaging experiences.
• Collaborate with product, design, and QA teams to define UI/UX strategy and ensure a smooth user experience.
  
  
• Back-End Mastery
• Architect and implement robust, scalable server-side applications using Python.
• Write complex SQL queries (e.g., with Trino or similar) to gather and analyze data from multiple sources.
• Develop and maintain microservices supporting our platform, ensuring seamless integration with front-end components.
• Design, optimize, and troubleshoot relational and non-relational databases.
• Collaborate with cross-functional teams to integrate RESTful APIs and ensure smooth end-to-end functionality.
  
  
• Code Quality and Collaboration
• Write thoroughly tested features, actively participate in code reviews, and take ownership of the codebase—front to back.
• Develop comprehensive end-to-end integration tests to ensure that systems function as intended.
• Stay up to date with the latest technologies and industry trends to drive continuous improvement.

Qualifications

• Education & Experience
• BS degree in Computer Science or a similar technical area of study (or equivalent practical experience).
• 2–4 years of experience as a software engineer/developer, with exposure to both front-end and back-end development.
• Technical Skills
• Front-End: Proficiency in HTML5, CSS3/SCSS, JavaScript with TypeScript, Vue.js, Vuex/Pinia, and Webpack/Vite.
• Back-End: Proficiency in Python, with a strong grasp of building and integrating APIs using FastAPI.
• Databases & Data: Skilled in SQL and database optimization techniques. Experience with both relational and non-relational databases is a plus.
• Architecture & Tools: Experience working with microservices architecture. Familiarity with Git/GitHub for version control.
• Agile Environment: Front-end or fullstack experience working in an Agile setting.
• Testing & Performance: Strong commitment to code quality, testing, and performance optimization.
• Soft Skills
• English language proficiency required.
• Excellent problem-solving and troubleshooting abilities, with a knack for creative solutions.
• Strong collaboration and communication skills, comfortable working in cross-functional teams.

Nice to Have

• Postgraduate degree in CS or further education/experience in a technical field.
• Experience working in AWS or a similar cloud infrastructure (Google Cloud, Azure).
• Familiarity with containerization technologies like Docker.
• Knowledge of message queues and streaming platforms, such as Apache Kafka.
• Understanding of caching mechanisms and performance optimization techniques.
• Experience with performance testing and profiling tools.
• Familiarity with machine learning concepts and frameworks using LLM.

You’ll Grow at Linqia

Influencer marketing is chaotic. Linqia brings the calm in the chaos. We’re a leader in the influencer marketing industry. We're a mature and growing tech start-up, having experienced 100% year-over-year growth and break-even. We partner with the world's largest brands including General Motors, Bayer, Kimberly-Clark, Unilever, Albertsons, McDonalds, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing and leveraging creator content. We combine the science and accountability of online media with award-winning creativity to deliver the greatest return on investment and results for our clients’ paid, owned, and earned media.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.