Build and debug LLM agents, integrations, and AI workflows using Python and APIs. Provide technical office hours, mentoring, code reviews, debugging support, and hands-on training. Develop reusable starter kits, frameworks, evaluations, and troubleshooting guides on approved platforms such as Maestro. Diagnose issues involving prompts, retrieval, tool calls, state, permissions, and failures, escalating complex production or security concerns to specialist teams.
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’re looking for an Applied AI Engineer to help the AI team and colleagues across Félix get more out of AI in their daily work. You’ll build and debug agents and integrations, help colleagues with their own builds, and turn what works into reusable frameworks and learning resources. Success means teams can use AI on their own, solve technical blockers, and keep their AI workflows running day to day.
You will combine hands-on engineering with technical office hours, mentoring and role-specific learning programs. Working with team leads and Internal Talent, you will identify skill gaps, track applied learning and follow through after training. You will develop expertise in Maestro and other approved platforms, partner with the AI Solutions Manager on shared practices, and engage FDE, AI Enterprise, Data, Security and platform specialists when deeper support is needed.
Responsibilities
- Build support: Build and improve reference agents, tool integrations and workflows with Python, LLM SDKs and APIs. Pair with colleagues to scope practical builds, review code, and debug prompts, retrieval, tool calls, state, permissions and failures. Production systems stay with FDEs and specialist engineers.
- Office hours and escalation: Run regular technical office hours, triage requests and track issues to closure. Escalate complex integration, data, security or production problems with reproducible examples, logs and attempted fixes, and turn recurring issues into resources.
- Reusable frameworks: Turn shared standards into starter kits, tested agents, integration patterns and troubleshooting guides, with examples for tool calling, data access, evaluations, human review and failure handling. Keep documentation, versioning, permissions and ownership clear on approved platforms, including Maestro, our in-house AI assistant that works across Slack, Notion, Google Workspace and our data.
- Technical teaching and mentoring: Own the technical content and exercises for hands-on bootcamps and tracks, and teach through live builds and debugging. Mentor colleagues through guided builds and code reviews until they can maintain their own work.
- Platform expertise and improvement: Keep working expertise in Maestro, other approved tools and data safeguards. Test new capabilities on real tasks, share practical guidance, and bring recurring gaps to platform owners. Track independent task completion, blocker resolution, resource reuse and sustained adoption.
Requirements
- Applied AI experience: Hands-on experience building LLM applications, agents or automations for real users, including what failed and how you improved it.
- Engineering and diagnostics: Strong Python, APIs, authentication, Git, testing and debugging, with practical use of at least one LLM SDK such as OpenAI or Google. You can read logs and traces, isolate failures and create reproducible examples.
- Agents and evaluations: Experience with tool calling, multi-step workflows, state, structured outputs, human review and failure handling. You can build useful evaluations and explain quality, latency, cost and data safeguards.
- Teaching: Experience mentoring builders and mixed technical and business audiences through live builds and debugging, with follow-through after training. This is tested in the interview with a live pairing or debugging exercise.
- Collaboration: You turn ambiguous requests into testable hypotheses, know when to escalate, and close the loop.
Nice to have
- Practical SQL and CI/CD
- RAG and vector databases
- Maintainable starter kits or reusable components you have built
- Experience supporting operations teams
What We Offer
- Competitive salary
- Initial stock options grant
- Annual performance bonus
- Unlimited PTO
- Paid parental leave
- Hybrid work setup
- 401(k) with employer matching, for US-based employees
- Health, dental, and vision plans
- Continuous learning opportunities
- Empowering opportunities for growth in a dynamic entrepreneurial environment
The starting base salary for this role typically ranges between $193,000 and $213,000 USD, tailored to experience and skill set. Because we are all owners of Félix, equity is a core component of our total compensation package. Your recruiter will walk you through our complete benefits, health coverage, equity structure, and total compensation details during your first call.
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.
Similar Jobs
Fintech • Financial Services
Lead cross-functional AI technical programs from prioritization through deployment and adoption. Translate initiatives into plans, requirements, milestones, evaluations, and measurable outcomes; coordinate Engineering, Product, Data, FDE, AI Enterprise, and platform teams; manage dependencies, risks, governance, deployment readiness, and operational ownership. Prototype and debug AI integrations using Python, SQL, APIs, and LLM SDKs while evaluating quality, latency, cost, and permissions.
Top Skills:
APIsAuthenticationGitGoogle Llm SdksLlm AgentsOpenai SdkPythonRagSoftware TestingSQLVector Databases
Fintech • Software
Leads DFIN’s government affairs and public policy strategy, monitoring regulatory developments, influencing policy outcomes, and advising executive leadership. Builds relationships with regulators, policymakers, trade associations, and industry stakeholders; coordinates consultations and advocacy efforts; manages subject-matter experts; and translates regulatory changes into business opportunities, risk mitigation, product strategy, and executive communications.
Cloud • Security • Software • Cybersecurity • Automation
Leads Growth Marketing operating rhythms, strategic cross-functional initiatives, budget tradeoffs, executive preparation, pipeline reviews, and leadership commitments. Acts as a strategic partner and delegate to the VP of Growth Marketing, influencing ten functions without direct authority. Requires extensive B2B software marketing leadership, broad marketing expertise, business and financial fluency, executive communication, hands-on AI use, and familiarity with developer or DevOps audiences.
Top Skills:
AIDevsecopsGitlab
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
