Location: LATAMWork Model: 100% RemoteProject: Identity Security / Cybersecurity PlatformSeniority: SeniorEngagement: Full-time143L - Senior Data Engineer (Python/Go/Data Ingestion/Cloud) · Remote · LATAMLocation: LATAMWork Model: 100% RemoteProject: Identity Security /ity budgets.Exciting projects : modern solutions with Fortune 500 and top product companies.Flextime : versátil schedule with remote and office options.Spoiler: This is where your next big move begins.What this Journey Looks LikeAt Pearster, we are hiring an AI Engineer to join our team.
This is a 100% remote position where you will be responsible for designing, building, and implementing AI‐powered solutions that solve real business challenges and create meaningful impact.You will work with modern Artificial Intelligence technologies, including Generative AI, Large Language Models (LLMs), Machine Learning, and intelligent automation, collaborating with cross‐functional teams to transform ideas and business needs into scalable, production‐ready solutions.We are looking for a curious, hands‐on, and innovative professional who enjoys experimenting with emerging technologies, solving complex problems, and turning the latest advances in AI into practical solutions.What You'll Lead and BuildBuild solutions leveraging Generative AI, Large Language Models (LLMs), and Machine Learning.Design, develop, and deploy AI‐powered applications and solutions.Develop and integrate AI agents, APIs, and intelligent automation workflows.Build solutions using RAG (Retrieval‐Augmented Generation), embeddings, vector databases, and prompt engineering.Integrate AI models and services from platforms such as OpenAI, Anthropic, Google, AWS, Azure, or similar providers.Develop prototypes and Proofs of Concept (POCs) and help transform successful experiments into production‐ready solutions.Evaluate and optimize AI solutions for accuracy, reliability, performance, scalability, and cost.Collaborate with Engineering, Product, and business stakeholders to identify opportunities where AI can create meaningful value.Integrate AI capabilities into existing applications, platforms, and workflows.Contribute to responsible AI practices, including security, privacy, monitoring, and appropriate use of AI systems.Stay up to date with emerging AI technologies, frameworks, tools, and industry best practices.Share knowledge and contribute to building AI capabilities and best practices across the organization.What You Bring to the TableStrong programming skills, preferably in Python.Professional experience in Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.Hands‐on experience building applications using Generative AI and Large Language Models (LLMs).




Experience integrating APIs and developing backend services.Knowledge of prompt engineering, RAG, embeddings, vector databases, and AI agents.Familiarity with AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, or similar technologies.Experience working with AI APIs and platforms such as OpenAI, Anthropic, Google Gemini, or similar.Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.Understanding of Git, APIs, CI/CD, and modern software development practices.Strong analytical and problem‐solving skills.Ability to work independently in a fully remote environment.Strong communication and collaboration skills.Intermediate to advanced English level to collaborate effectively in an international environment.Benefits that Move you Forward.We're here to amplify your brilliance, not contain it.Work from anywherewith true flexibility and freedom.Earn in USDwith compensation that matches your expertise.Recharge confidentlywith dedicated paid time off.Advance your careerwith fully covered international certifications.Access coworking spaces worldwidewhenever you want a professional setup.Strengthen your Englishand expand your global reach.Connect and have funwith activities that unite our international team.Feel appreciatedwith personalized gifts and a thoughtful welcome kit.Grow our communityand earn through our referral program.At Pearster, your journey matters, and we're here to help you go further than you imagined.LangChain.LangGraph.AWS.Cloud AI Engineer, Google Cloud (English) Share Cloud AI Engineer, Google Cloud (ibute technical insights from real-world implementations to the product roadmap.Support production adoption and continuously improve time-to-value for enterprise customers.Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.What You Bring10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.Strong software development experience with:PythonGoStrong experience designing and consuming REST APIs .
Hands‐on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems .
Experience integrating complex enterprise systems and third‐party platforms.Solid understanding of both SQL and NoSQL databases .
Production experience with at least one major cloud platform:AWSAzureGCPExperience working with Docker and Kubernetes .




Strong understanding of Git-based development workflows and CI/CD practices .
Experience designing reliable, scalable, and production-ready distributed systems.Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.Experience working directly with customers, stakeholders, or technical partners.Ability to translate complex customer requirements into pragmatic technical solutions.Strong communication skills and the ability to operate effectively in customer-facing technical conversations.High degree of autonomy and ownership when solving ambiguous technical problems.Highly Relevant ExperienceExperience with any of the following will be especially valuable:IAM IdPs Identity SecurityCybersecurity platformsSIEM systemsSecurity telemetryNetwork securityEndpoint securitySASE / Zero Trust environmentsCloud securityLarge-scale event processingStreaming architecturesIntegration ExperiencePrevious experience integrating APIs or data from platforms such as the following is highly valuable:AWSMicrosoft AzureGoogle CloudMicrosoft Entra ID / Active DirectoryOktaGoogle WorkspaceDuoCrowdStrikeZscalerPalo AltoMicrosoft DefenderSIEM and security analytics platformsDirect experience with every platform is not required.
What matters is a strong track record of learning complex APIs and transforming heterogeneous enterprise data sources into reliable integrations.Nice to HaveExperience with large-scale data processing or streaming platforms.Experience designing reusable connector SDKs or integration frameworks .
Understanding of identity-related security concepts such as authentication, authorization, credentials, service accounts, privileged access, and non-human identities.Experience with security events, audit logs, network telemetry, or cloud activity data.Familiarity with event-driven and distributed system architectures.Experience deploying AI/ML-enabled applications.Exposure to LLMs, AI agents, or AI-powered security applications .
Solution Architecture or Forward Deployed Engineering experience.Previous experience in cybersecurity startups or high-growth SaaS environments.What Success Looks LikeSuccess in this role will be measured by your ability to:Deliver successful enterprise integrations and deployments.Reduce customer time-to-production.Build reliable and scalable ingestion solutions.Improve customer adoption and technical satisfaction.Resolve complex integration challenges efficiently.Turn customer-specific requirements into reusable platform capabilities.Contribute improvements that strengthen the scalability and flexibility of the core product.What Darwoft OffersContractor agreement with payment in USD100% remote workArgentina's public holidaysEnglish classesReferral programAccess to learning platforms
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📌 Senior Data Engineer: Snowflake, Airflow & Pipelines (Santa Fe)
🏢 Unavailable
📍 Santa Fe