- Production-Grade Agent Architecture: Architect, develop, and maintain scalable, stateful AI agents. You won't just build "demos"; you will ship hardened systems using Python and modern frameworks (Google ADK, LangGraph, CrewAI, etc.) that handle real-world edge cases.
- LLMOps & Observability: Establish production monitoring for agentic workflows. Implement tracing and observability (e.g., LangSmith, Arize Phoenix, or Weights & Biases) to track reasoning paths, tool-calling success rates, and latency bottlenecks.
- End-to-End Production Integration: Lead the integration of AI agents into core product infrastructure (Payments, Fraud, etc.). Own the full lifecycle, from containerization (Docker/Kubernetes) to CI/CD deployment and post-launch stability.
- Advanced Evaluation Pipelines: Move beyond basic metrics. 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.
- Performance & Cost Engineering: Optimize RAG pipelines and agent loops for production constraints. Implement caching strategies, prompt compression, and model routing to balance inference costs with high-performance requirements.
- Technical Leadership: Mentor junior engineers on software craft. Drive best practices in asynchronous programming, error handling for non-deterministic outputs, and structured data validation (Pydantic, etc.).
- Experience: 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.
- Technical Mastery: Mandatory expertise in Python and deep familiarity with 1 core LLM APIs and frameworks (OpenAI SDK, Google AI SDK, CrewAI, LangChain, etc.).
- Agentic System Knowledge: Proven experience implementing agentic systems, including knowledge of RAG, vector databases, and memory/state management.
- Engineering Fundamentals: Strong understanding of software development best practices, version control (Git/GitHub), and CI/CD pipelines. Experience with personal projects or demonstrable contributions on GitHub is a strong plus.
- Execution & Communication: Proven ability to translate high-level business needs into concrete, maintainable, and well-tested code.
- These are the applicable requisites, although equivalent competencies in any of the above will also be considered.
- Competitive salary
- Initial stock options grant
- Annual performance bonus
- Health, dental, and vision plans
- 401(k) with employer match
- Remote work environment, although we have offices in Miami and México City and would love to work in hybrid model if you are up to it.
- Continuous learning opportunities
- Unlimited PTO
- Paid parental leave
- Empowering opportunities for growth in a dynamic entrepreneurial environment
Top Skills
What We Do
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, including QED, Castle Island, Switch Ventures, HTwenty, Monashees, and General Catalyst Customer Value Fund. This isn't just about the numbers; it's a testament to the trust our investors have in our vision and our team. Additionally, the Félix founders were selected as “Endeavour Entrepreneurs” and were recipients 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.








