Let’s work with the best LATAM Team!

• 5+ years of experience in machine learning, data engineering, or backend systems
• Proficiency in Java for backend and data pipeline development
• Strong expertise in LLM-based systems: prompt design, versioning, tool orchestration, and evaluation
• Experience building and maintaining AI pipelines combining deterministic and probabilistic components
• Ability to design and evolve evaluation frameworks, regression testing systems, and golden datasets
• Experience implementing guardrails, confidence scoring, abstention logic, and fallback mechanisms
• Solid understanding of data extraction, transformation, and quality improvement at scale
• Comfortable working across ML, data engineering, and backend services end-to-end
• Ability to proactively identify system failure modes and implement solutions autonomously
• Strong problem-solving skills and ability to thrive in ambiguous, fast-paced environments
• English proficiency (B2 or higher)

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• 5+ years of hands-on DevOps or Platform Engineering experience with AWS
• Production-level expertise in Terraform (or OpenTofu) for infrastructure as code
• Strong experience with Docker and Kubernetes (EKS) in production environments
• Hands-on CI/CD pipeline design and implementation (GitHub Actions preferred)
• Experience implementing security controls aligned with NIST 800-171 or NIST 800-53
• Experience with observability platforms, particularly DataDog (dashboards, alerts, integrations)
• Solid understanding of GitOps practices and deployment automation
• Familiarity with container security, SAST scanning, and compliance-ready documentation (SOC 2, FedRAMP)
• Ability to work autonomously with high ownership across the full infrastructure lifecycle
• English proficiency (B2 or higher)

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• Senior-level experience in data engineering with exposure to AI/ML workflows
• Hands-on experience with cloud data warehousing platforms (Amazon Redshift, Snowflake, or Databricks)
• Strong understanding of data architecture design, modeling, and centralization strategies
• Experience connecting data sources with LLMs or AI pipelines
• Ability to design and implement data layers optimized for AI consumption
• Familiarity with vector databases and RAG (Retrieval-Augmented Generation) architectures
• Experience working with non-technical teams (marketing, operations, agile) to define information structures and sources of truth
• Ability to translate business needs into concrete, maintainable data solutions
• Strong problem-solving skills and ability to work autonomously in fast-paced environments
• English proficiency (B2 or higher)

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• 4+ years of experience as a Software Engineer with a strong backend or full stack focus
• Strong experience building APIs and backend services (Node.js, Python, or similar)
• Solid understanding of system design, distributed systems, and integrations
• Experience integrating with external systems, ERP platforms, HRIS, or third-party APIs
• Proficiency with SQL and/or NoSQL databases
• Familiarity with cloud environments (AWS, GCP, or Azure)
• Ability to design, build, and maintain scalable and reliable integration pipelines
• Experience writing clean, well-tested code including unit and integration tests
• Strong problem-solving skills and ability to work autonomously in fast-paced environments
• English proficiency (B2 or higher)

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• 3+ years of experience in data, finance systems, or data engineering (FP&A, analytics, or similar)
• Strong proficiency in SQL, data modeling, and Python
• Experience building and managing data pipelines and integrating systems (ERP → data warehouse)
• Hands-on experience with cloud platforms (AWS, GCP, or similar)
• Experience designing and implementing AI-powered workflows and automation
• Familiarity with LLMs, RAG architectures, or AI agents
• Ability to build self-service tools for reporting, forecasting, and financial planning
• Strong understanding of data governance, quality, and auditability
• Experience working with cross-functional stakeholders, including finance and leadership teams
• Ability to work autonomously and deliver end-to-end solutions in fast-paced environments
• Strong problem-solving and product-oriented mindset
• English proficiency (B2 or higher)

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• Strong experience working with Technolutions Slate (configuration, workflows, rules, queries, reporting)
• Experience supporting universities or higher education institutions
• Ability to audit existing implementations and propose improvements
• Experience designing and optimizing admissions and enrollment workflows
• Strong stakeholder management and consulting skills
• Ability to translate business requirements into technical solutions
• Experience improving system performance, reporting, and automation
• Strong analytical and problem-solving skills
• Nice to have: experience implementing or migrating Slate CRM
• Experience working with multiple institutions as a consultant is a plus
• English proficiency (B2 or higher)

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• 5+ years of experience in backend or full stack development
• Strong proficiency in Java and Spring Boot
• Experience building REST APIs and microservices architectures
• Solid knowledge of Spring Security (OAuth2, JWT, RBAC)
• Experience working with PostgreSQL and SQL optimization (JPA/Hibernate, indexing)
• Frontend experience with React and modern JavaScript / TypeScript
• Experience with Docker, AWS (or similar cloud), and CI/CD pipelines
• Familiarity with monitoring, logging, and observability tools
• Understanding of caching strategies (Redis) and scalable system design
• Strong focus on performance, security, and reliability
• Experience working in agile teams
• English proficiency (B2 or higher)

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• 3–5+ years of experience as a full stack developer or software engineer
• Strong knowledge of JavaScript, Node.js, and Python
• Experience building full stack applications and integrating external APIs
• Solid understanding of SQL and NoSQL database design
• Experience using AI-assisted development tools (Copilot, ChatGPT, Claude, etc.)
• Familiarity with RAG architectures, vector databases, and prompt engineering
• Ability to work across multiple technology stacks (e.g., Next.js, Go, Flutter)
• Experience writing technical specifications, validating code quality, and ensuring best practices
• Strong understanding of software architecture, testing, and maintainability
• Excellent problem-solving skills and ability to work in fast-paced, iterative environments
• English proficiency (B2 or higher)

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• Experience building AI solutions for scheduling, diagnostics, and workflow automation.
• Strong backend experience using Java and Spring Boot, building scalable and robust services
• True full-stack profile with backend as the main focus and solid frontend ownership
• Hands-on experience with React and strong autonomy working with React Native
• Ability to deliver frontend features with minimal guidance, especially in React Native
• Experience designing and implementing agentic AI architectures with multi-step LLM workflows
• Hands-on integration of LLMs with tools such as Slack, Jira, and GitHub
• Experience implementing vector search to correlate meetings, tickets, and structured references
• Familiarity with human-in-the-loop workflows requiring approval before execution
• Experience building centralized platforms acting as a knowledge graph
• Strong understanding of complex AI-driven workflows beyond basic transcription

• 5+ years of experience in AI engineering, ML pipelines, or automation systems
• Strong proficiency in Python with practical experience using OpenAI / Anthropic (via Bedrock)
• Experience building multimodal document-processing pipelines (PDF → image → LLM → structured output)
• Hands-on experience with multi-agent architectures using LangChain and/or LangGraph
• Understanding of token limits, chunking strategies, retrieval patterns, and consolidation workflows
• Experience with OCR and document extraction tools: AWS Textract, Azure Document Intelligence
• Strong AWS experience: Lambda, SQS, S3, ECS/Kubernetes, event-driven design (serverless preferred)
• Ability to design scalable API endpoints and high-volume asynchronous processing systems
• Experience with fault tolerance, observability, retries, and dead-letter queues
• Experience handling technical or financial documents and producing validated JSON outputs
• English proficiency (B2 or higher)
  
  

Bonus: experience leading small AI teams or shaping AI product architecture

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• 5+ years of experience in full-stack development
• Proficiency in Go (Fiber), Python (FastAPI), and PHP (Laravel)
• Strong knowledge of RESTful API design and integrations
• Experience with Vue 3 (Composition API), JavaScript/TypeScript, and responsive UI design
• Familiarity with MySQL, PostgreSQL, MongoDB, and AWS services (Lambda, S3, API Gateway, CloudWatch)
• Understanding of Docker, CI/CD (GitHub Actions), and basic DevOps (builds, deployments, troubleshooting)
• Experience collaborating in agile, remote-first teams
• Excellent problem-solving and communication skills
• English proficiency (B2 or higher)

Bonus: experience with Terraform or Serverless Framework, and monitoring tools (Datadog, CloudWatch).

• 5+ years of experience in backend or functional programming
• Proficiency in Elixir and Phoenix for building scalable APIs
• Strong knowledge of concurrent systems and background job processing
• Experience with PostgreSQL and relational database design
• Familiarity with Linux environments, CI/CD pipelines, and deployment automation
• Understanding of testing, automation, and system resilience
• Experience working in agile, fast-paced teams
• Excellent problem-solving and communication skills
• English proficiency (B2 or higher)

Bonus: interest in AI and distributed systems.

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