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
4tech
Skills Required
- Advanced level of English
- 5+ years 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
- Bachelor's Degree in Computer Science, Systems Engineering or related fields
- Experience in fintech, banking, payments, or other financial-services environments
What We Do
Prediktive is a technology business partner and engineering services company that helps tech-enabled companies build and scale digital products. It provides software product development execution, engineering talent, and global remote support for startups, midsize businesses, and enterprises. Established in Silicon Valley, the company works across fields and time zones, connecting qualified professionals with client projects and helping organizations grow with confidence.
