Job description

About Us At Félix , we are building the indispensable financial companion for Latinos in the US. We combine an AI-powered, conversational-first interface with real-time financial infrastructure to make cross-border money movement as easy as sending a text. Starting with fast, affordable remittances powered by AI and crypto rails, we are expanding into credit, savings, and wallet services to support the complete immigrant financial journey. Our ambition is to deliver a white-glove financial experience with the simplicity of a conversation to a community the traditional financial system has historically overlooked. We are a hyper-growth Series C company, backed by over $300 million in funding from top-tier global investors, including Andreessen Horowitz, QED, Castle Island, Switch Ventures, HTwenty, Monashees, 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, Félix was selected as an “Endeavor Entrepreneur” and was a recipient of the CrossTech Fintech Startups Award. 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 because we are obsessed with our customers . We get things done with urgency and focus , driven by extreme ownership over our impact. We collaborate without ego , fostering radical transparency and fierce loyalty so we can grow together. Because we aim for insanely great rather than just good enough, we stay insatiably curious —always experimenting, building the future today, and delivering a product that truly makes our users' lives better. About the Role 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 different 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. Responsibilities • 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.). Requirements • 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. What We Offer Base Salary (by level) Flexible depending on location and interview performance • • Mid: $105,000–$170,000 • Senior: $160,000–$245,000 • Staff: $230,00–$320,000 • Initial stock options grant • Annual performance bonus • Health, dental, and vision plans • Continuous learning opportunities • Unlimited PTO • Paid parental leave • Empowering opportunities for growth in a dynamic entrepreneurial environment Equal Opportunity Employer At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination. Want to learn more about our privacy practices? Check out our Privacy Policy .

Requirements

Must-haves

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.).
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.
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.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aipythondockerkubernetesci/cdllmml

Platform: gem
Effort: medium

Benefits

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Dental

Vision

Pto

Parental Leave