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 Learnquirements
8+ years of experience in software engineering or backend development.
5+ professional experience with Python , building and maintaining production-grade backend systems.
Strong experience with Java .
Hands-on experience with AI/LLM-based application development (AI agents, agentic systems, or LLM-powered applications)
Experience building AI-driven features, LLM integrations, or agentic workflows in production environments is highly preferred.
Solid understanding of distributed systems, scalable architectures, and asynchronous processing.
Experience working with databases, message queues, and data processing pipelines .
Hands-on experience with Docker and Kubernetes in production environments.
Proven experience building, maintaining, optimizing, and improving products after launch.
Strong ownership mindset, autonomy, and ability to thrive in startup or fast-paced environments .
Advanced English level
Nice to have
Experience working in product-focused companies, owning products beyond the initial development phase.
Experience in cybersecurity products or security-focused platforms.
Experience with Kafka, RabbitMQ, or similar messaging systems.
Experience building large-scale distributed data processing systems.
Background in high-growth startups or scale-ups.
Previous experience in large technology companies
What's in it for You
100% remote work with flexibility to work from LATAM.
Join an early-stage cybersecurity startup where your work will directly impact the product and company growth.
Be part of an engineering culture that embraces modern AI-assisted development workflows.
Company-provided laptop and equipment.
Generous PTO and regional holidays.
High ownership, autonomy, and direct influence on technical decisions.
Location: LATAM
Work Model: 100% Remote
Project: Identity Security / Cybersecurity Platform
Seniority: Senior
Engagement: Full-time
Get to Know Darwoft
At Darwoft, we build custom software solutions and partner with international companies to create high-impact digital products.
We are a Latin American technology company with a people-first culture, strong professional standards, and a long-term partnership mindset.
We work with distributed teams, complex technical challenges, and clients whose technology has a direct impact on their businesses and users.
About the Project
We are partnering with an innovative cybersecurity company building a next-generation Identity Security and Identity Observability platform .
The product helps enterprise security teams understand how human users, service accounts, workloads, applications, and AI-driven identities access systems across cloud, SaaS, network, endpoint, and on-premise environments .
At the core of the platform is a highly data-intensive architecture that collects and analyzes large volumes of events, logs, network telemetry, identity activity, and security signals .
This information is processed to identify unusual access patterns, security risks, identity blind spots, infrastructure misconfigurations, and potential threats.
The platform integrates with complex enterprise ecosystems including identity providers, cloud platforms, SASE solutions, SIEMs, endpoint security tools, network infrastructure, and security services.
About the Role
We're looking for a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization.
This is not a traditional backend or internal data engineering position.
You'll work directly with customers to understand their infrastructure, data sources, security architecture, network topology, APIs, and workflows, then design and implement scalable mechanisms to ingest that information into the platform.
You'll combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting .
A major part of your mission will be building and evolving connectors and ingestion pipelines capable of integrating data from complex enterprise environments while maintaining rern solutions with Fortune 500 and top product companies.Flextime: Flexible schedule with remote and office options.LangChain.LangGraph.AWS.ML / AI Engineer Senior Remoto Argentina, ID #*****Toolkits RAG: LangChain Retrievers, LlamaIndex integrations.Cloud AI Engineer, Google CloudShare Cloud AI Engineer, Google CloudEarlyExperience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.Share Cloud AI Engineer, Google CloudIn most instances, this position requires in‐person interviews as part of the hiring process.Minimum qualifications:Bachelor's degree in Computer Science or equivalent practical experience.Experience building machine learning solutions and working with technical customers.Experience designing cloud enterprise solutions and supporting customer projects to completion.Experience with data structures, algorithms, and software design.Experience coding in Python.Ability to communicate in English fluently to collaborate with other teams.Preferred qualifications:Experience with recommendation engines, data pipelines, distributed machine learning, and deep learning frameworks.Experience with data analytics, data visualization techniques, and core Data Science methodologies.Experience in software development, professional services, or technical consulting for new technology initiatives.Knowledge of data warehousing (ETL/ELT), technical architectures, and big data environments (e.g., Hadoop, Spark).
Knowledge of cloud computing, including virtualization, multi‐tenant infrastructures, and storage systems.Excellent customer‐facing communication and listening skills with expertise in architecting solutions.About the job:The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive.
We help customers transform and evolve their business through the use of Google's integral network, web‐scale data centers, and software infrastructure.As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI.
You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers.
Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.In this role, you will be the Google Engineer working with Google's largest and most ambitious Cloud customers.
Together with the team, you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.Google Cloud accelerates every organization's ability to digitally transform its business and industry.
We deliver enterprise‐grade solutions that leverage Google's cutting‐edge technology, and tools that help developers build more sustainably.
Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities:Be a trusted technical advisor to customers and solve complex machine learning challenges.Coach customers on the practical challenges in machine learning systems: feature extraction and feature definition, data validation, monitoring, and management of features and models.Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.Create and deliver best practice recommendations, tutorials, blog articles, and sample code.Travel up to 30% in‐region for meetings, technical reviews, and onsite delivery activities.Google is proud to be an equal opportunity and affirmative action employer.
We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‐to‐be, criminal histories consistent with legal requirements, or any other basis protected by law.
See also Google's EEO Policy.
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📌 Forward Deployed Ai Engineer: Build Production Agentic Ai (Rincón de los Sauces)
🏢 127 Salesforce Argentina
📍 Rincón de los Sauces