Agentic AI Engineer
$500 per monthPrediktive
Agentic AI Engineer
We are looking for an Agentic AI Engineer, based in Latin America to work on a long-term project for one of our clients, a Fintech company based in Los Angeles, California. Our client is on a mission to build products that level the financial playing field. Their banking app helps millions of members bank, budget, find work, build credit, and access up to $500 advances without paying a fee.
Responsibilities:
- Design, develop, and deploy agentic AI patterns and architectures for intelligent, 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.
Requirements:
- Advanced level of English.
- 5+ years of professional experience developing software with Python and TypeScript.
- Hands-on experience designing and implementing agentic AI patterns, AI agents, or LLM-powered applications.
- Experience with Google Cloud Platform and cloud-native application development.
- Solid understanding of LLMs, prompt engineering, tool/function calling, RAG, and AI workflow orchestration.
- Experience building and integrating REST APIs, microservices, and distributed systems.
- Strong understanding of software engineering principles, including testing, CI/CD, version control, and production deployment.
- Experience with AI/ML application observability, evaluation, and performance optimization.
- Bonus points: Bachelor's degree in Computer Science, Systems Engineering or related fields. Experience in fintech, banking, payments, or other financial-services environments.
What we offer:
- Long term positions
- Compensation in USD
- Paid time off
- Cool clients and products
- Work with great engineers
Vacancy posted 1 day ago
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