Agentic AI Engineer - Fintech & LLM Orchestration LatAm

Gilder Search Group

Northern (KY)

Hybrid

USD 110,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Long term positions

Compensation in USD

Job summary

Gilder Search Group is seeking an Agentic AI Engineer based in Latin America to work on a long-term fintech project for a Los Angeles-based client. The role centers on designing agentic AI patterns, integrating LLMs and APIs, and building scalable Python/TypeScript services on Google Cloud.

Ideal candidates have 5+ years of Python/TypeScript experience, familiarity with AI/ML observability, security, and production-grade deployments. This is a long-term remote opportunity with USD compensation.

Qualifications

5+ years of professional software development using Python and TypeScript.
Experience designing agentic AI patterns, AI agents, or LLM-powered apps.
Proficient with Google Cloud Platform and cloud-native development.
Strong knowledge of LLMs, prompt engineering, tool calling, RAG, and AI workflow orchestration.
Experience building REST APIs, microservices, and distributed systems.
Solid software engineering practices including testing, CI/CD, version control, and production deployment.
Experience with AI observability, evaluation, and performance optimization.

Responsibilities

Design, develop, and deploy agentic AI patterns and architectures for scalable financial applications.
Build AI agents capable of planning, reasoning, tool use, workflow orchestration, and autonomous task execution.
Develop production-grade services and integrations using Python and TypeScript.
Leverage Google Cloud Platform services to build secure, scalable, and highly available AI solutions.
Collaborate with product, engineering, data, and risk teams to translate business requirements into robust agentic solutions.
Integrate LLMs, APIs, data sources, and enterprise systems into agent-based workflows.
Establish best practices for agent evaluation, observability, reliability, security, and performance.
Design solutions with financial-services security, compliance, data privacy, and auditability requirements in mind.
Prototype emerging agentic AI techniques and drive their adoption into production systems.
Troubleshoot and optimize AI applications for scalability, latency, cost, and reliability.