AI Engineer (Agents)

Felix Technologies, Inc.•Miami, FL

7h•$90,000 - $270,000

About The Position

At Félix, we're building the financial ecosystem for Latin immigrants in the U.S., starting with a revolution in remittances. Our core product is an AI-powered chatbot built on WhatsApp, allowing our users to send money home as easily as sending a text message. We leverage cutting-edge technology like AI, blockchain, and stablecoins to make cross-border payments faster, more affordable, and more accessible than ever before. We are a hyper-growth Series B company, backed by over $100 million in funding from top-tier global investors. Félix was selected as an “Endeavour Entrepreneur” and was a recipient of the CrossTech Fintech Startups Award. We are a group of extremely talented and dedicated high-performers, united by our shared obsession with a single goal: empowering our customers. We are all owners of Félix, driven by a bias for action and a true experimentation spirit to get shit done with urgency and focus. Joining Félix means you will be part of a team building a legacy, a company that will outlive us all. This is a rare opportunity to apply your skills to a deeply meaningful mission—serving a community that has been underserved for too long. We are a team that is fiercely loyal to each other, where radical transparency and constructive feedback are how we grow and push for excellence. We are bold, we care less about what others are doing, and more about creating sustainable value and a product that truly makes our users' lives better. We are building the future, today. We are seeking a proactive and highly skilled AI Engineer to join our core AI team. This role is central to Félix's next phase of growth, focusing on designing, building, and scaling autonomous AI Agents that will integrate directly into our product and internal operations. We are building a world-class AI team and believe great talent comes in various shapes. We are open to hiring at the Semi-Senior, Senior, or Staff level. We will calibrate your role, title, and compensation package based on your technical depth, architectural ownership, and the scope of impact you’ve historically delivered. You will be instrumental in evolving our WhatsApp-based AI platform beyond simple Q&A into a sophisticated, multi-agent system capable of reasoning, planning, and executing complex, multi-step tasks across our critical functions (e.g., loans, payments, fraud). You will partner closely with JM Mommessin, our Head of AI, as well as with other engineering teams and PMs to translate our AI strategy into a tangible roadmap and bring it to life. This is a unique opportunity to apply a bias toward action and an experimentation spirit to solve deeply meaningful, real-world problems for Latin immigrants in the U.S. If you thrive in a rapid-iteration environment and want to build the infrastructure that powers a hyper-growth fintech, this is your mission.

Requirements

7+ years of hands-on experience in software engineering, with at least 2 years dedicated to building and deploying production-grade AI/ML applications, specifically focused on Large Language Models (LLMs) or generative AI.
Mandatory expertise in Python and deep familiarity with core LLM APIs and frameworks (OpenAI SDK, Google AI SDK, CrewAI, LangChain, etc.).
Proven experience implementing agentic systems, including knowledge of RAG, vector databases, and memory/state management.
Strong understanding of software development best practices, version control (Git/GitHub), and CI/CD pipelines.
Proven ability to translate high-level business needs into concrete, maintainable, and well-tested code.
Equivalent competencies in any of the above will also be considered.

Nice To Haves

Experience with personal projects or demonstrable contributions on GitHub is a strong plus.

Responsibilities

Architect, develop, and maintain scalable, stateful AI agents using Python and modern frameworks (Google ADK, LangGraph, CrewAI, etc.) that handle real-world edge cases.
Establish production monitoring for agentic workflows, implementing tracing and observability (e.g., LangSmith, Arize Phoenix, or Weights & Biases) to track reasoning paths, tool-calling success rates, and latency bottlenecks.
Lead the integration of AI agents into core product infrastructure (Payments, Fraud, etc.), owning the full lifecycle from containerization (Docker/Kubernetes) to CI/CD deployment and post-launch stability.
Design automated "evals-as-code" using LLM-as-a-judge, semantic similarity testing, and adversarial benchmarking to ensure agent safety and groundedness before every release.
Optimize RAG pipelines and agent loops for production constraints, implementing caching strategies, prompt compression, and model routing to balance inference costs with high-performance requirements.
Mentor junior engineers on software craft, driving best practices in asynchronous programming, error handling for non-deterministic outputs, and structured data validation (Pydantic, etc.).