AI Engineer, Sr

At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.We are seeking a Senior AI Engineer who shares our passion for innovation and transformation. This role is critical in building advanced AI-driven solutions that enable our business partners to evolve and meet the growing demand for personalized, intelligent digital experiences. AI & Agent System EngineeringOrchestration: Implement intent classification flows, tool routing logic, multi-step reasoning chains, session memory management, and structured output parsing.Tool Gateway: Build and maintain the deterministic validation layer checking LLM actions against policy rules before calling live banking APIs.RAG Pipelines: Optimize document ingestion, chunking/embedding workflows, vector retrieval, and context injection.Guardrails & Testing: Implement "Trust Dial" enforcement in code to determine autonomous vs. user-confirmed actions. Build automated agent evaluation tests to catch regressions and hallucination risks. Cloud-Native Service DevelopmentScalable Architecture: Build containerized, stateless, horizontally scalable workloads designed to degrade gracefully if upstream banking APIs fail.Observability: Implement distributed tracing across agent calls and API hops, structured logging for audits, and metric instrumentation for latency/error rates.LLM Integration: Manage token budgets, streaming response handling, model fallback logic, and API error handling.Event-Driven Systems: Build idempotent consumers/producers on the Kafka pipeline with sub-second latency targets. Banking API Integration & PerformanceAPI Adapters: Build request transformation, authentication, rate limiting, and retry logic connecting the system to bank middleware.Transaction Safety: Implement security controls, token management, duplicate transaction detection, and rollback/compensation logic for agent actions.Performance Optimization: Balance LLM cost efficiency against data freshness via strategic caching , and resolve bottlenecks in reasoning chains or DB queries.Experience & QualificationsEssential CriteriaSoftware Engineering: 4+ years of professional experience shipping and operating production systems at scale (not internal tools or prototypes).Languages: Strong proficiency in Python and/or TypeScript with an emphasis on clean, testable code.Distributed Systems: Solid grasp of concurrency, fault tolerance, and API design (REST/GraphQL) in regulated environments.Agentic AI Experience: Hands-on experience building/shipping LLM-based systems, RAG components, tool calling mechanisms, and AI safety features (hallucination detection, prompt injection defenses).Testing Rigor: Experience building automated evaluation pipelines to validate non-deterministic AI behavior.Cloud Native: Strong experience with containerized workloads, CI/CD pipelines, and cloud environments (AWS, Azure, or GCP).Desirable CriteriaExperience with Kubernetes (EKS, AKS) and Infrastructure-as-Code (Terraform, AWS CDK).Familiarity with canary deployments, feature flags, and production rollback strategies.Background in banking API integration, payment rails, and financial transaction safety (idempotency, audit logging).Awareness of compliance frameworks like PCI-DSS or SOC 2.Location: RemoteCreate with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively.We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about our commitment to diversity and inclusion and Globant’s Benefits.