Senior AI Engineer
Fonzi AI
JavaScriptNext.jsReactTypeScript
Senior Applied AI Engineer, Video Prompt
Monstro
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $220,000 - $260,000 per year
Job Level
Senior
Tech Stack
AWSDockerPython
About the role
- Develop and refine AI systems that convert structured financial guidance into dynamic, short-form videos.
- Build modular pipelines for personalized video generation—leveraging LLMs, multimodal frameworks, and video synthesis models.
- Experiment with prompting, chaining, and AI orchestration techniques to ensure narrative accuracy, tone, and actionability.
- Work within Monstro’s core tech stack: Python, FastAPI, LangChain/LangGraph, Supabase, Docker, AWS App Runner, and LangSmith tracing.
- Collaborate with backend engineers to integrate video-generation capabilities directly into Monstro’s consumer experience.
- Design scalable, secure, and efficient systems for generating, rendering, and caching video content.
- Partner with product and design teams to align technical output with user experience goals.
- Ensure videos are contextually relevant, visually coherent, and reinforce user understanding and confidence.
- Develop frameworks for multi-language and accessibility-friendly video output.
- Stay ahead of emerging trends in generative video, text-to-video, and multimodal AI research.
- Evaluate and integrate new frameworks or APIs (e.g., OpenAI, Pika, Runway, or equivalent).
- Prototype, test, and optimize AI video workflows for quality and performance.
- Work closely with Monstro’s AI, Product, and Data teams to ensure speed, quality, and alignment with company goals.
- Contribute to Monstro’s culture of curiosity, precision, and velocity—where experimentation drives progress.
Requirements
- 5–10 years of software engineering experience, with at least 2–4 years focused on applied AI, GenAI, or multimodal systems.
- Strong background in Python and familiarity with frameworks like LangChain, LangGraph, or equivalent.
- Hands-on experience with text-to-video, diffusion-based, or multimodal AI generation techniques.
- Deep understanding of LLM prompting, chaining, embeddings, and vector database operations.
- Ability to work end-to-end—from research and prototyping to production-ready deployment.
- Experience integrating AI outputs into customer-facing applications.
- Strong grasp of model evaluation, testing, and optimization for accuracy and performance
- Excellent communication and collaboration skills; comfortable working across AI, product, and design disciplines.
Benefits
- Ownership & Impact: Build systems that redefine how financial guidance is communicated and understood.
- Category-Defining Work: Combine AI, education, and finance into an entirely new user experience medium.
- Mission-Driven: Collaborate with seasoned operators, engineers, and designers who have scaled AI-driven platforms globally.
- Help democratize access to financial knowledge through AI-powered storytelling.
- Compensation: $220K–$260K base + top-tier equity
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonFastAPILangChainLangGraphDockerAWS App Runnervideo synthesistext-to-videomultimodal AImodel evaluation
Soft skills
communicationcollaborationcuriosityprecisionvelocity
