Senior AI Engineer
Team: Engineering
Location: Miami
Commitment: Full-Time
Workplace Type: hybrid
We are seeking a highly skilled and experienced Senior AI Engineer to join our Iru Platform Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across Iru. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation.
In this role, you'll focus on creating reusable infrastructure, frameworks, and services that enable data scientists and software engineers to rapidly experiment, deploy, and monitor AI at scale.
Youʼll collaborate across engineering, product, and research teams to ensure Iruʼs AI offering is secure, reliable, and optimized for performance, while enabling innovation and experimentation.
Required to work on-site in our Coral Gables office Tuesday – Thursday.
How You'll Make a Difference Day to Day:
-
Architect, design, and implement scalable AI platform services and components that enable the development of intelligent agents and LLM-powered applications, while supporting the deployment and orchestration of LLMs and other AI models.
-
Apply LLMs and other AI technologies directly to build and enhance Iruʼs intelligent features, working closely with product and engineering teams to deliver impactful solutions.
-
Build LLM-powered agents that autonomously reason through complex workflows.
-
Develop full-stack product surfaces (backend & frontend) that incorporate AI into user experiences.
-
Familiarity with the AI development stack (RAG, vector databases, LLM observability, eval pipelines).
-
Partner with Product Engineering teams to design ML-driven features that automate IT security workflows.
-
Implement scalable APIs and microservices that expose AI models and services to product teams.
-
Collaborate with our core services infrastructure team to support the execution, monitoring, logging, and automated evaluation of AI agents, ensuring high reliability and performance of AI services in production environments.
-
Work closely with the Data Science team responsible for building LLMs / agents.
-
Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, xAI, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost.
-
Drive the adoption of best practices in AI privacy, security, and compliance, including secure data handling, and regulatory adherence.
-
Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems.
-
Stay current with advancements in AI infrastructure, agent-focused MLOps, and LLM applications, and apply relevant innovations to enhance Iruʼs AI platform.
-
Collaborate cross-functionally with product, frontend, and data teams to deliver seamless, reliable, and user-centric AI experiences.
We’d love to hear from you if you have
-
Bachelorʼs or Masterʼs degree in Computer Science, Machine Learning, Data Science, or related field.
-
Extensive experience designing and building scalable AI/ML platforms or infrastructure in a production environment.
-
Proven track record of applying LLMs and AI models to real-world product features and user-facing solutions, with a strong understanding of their operational requirements.
-
Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP).
-
Proficiency in agentic and orchestration frameworks (e.g., Langchain, CrewAI, pydantic-ai, LangGraph, Airflow, Kubeflow, Ray, or similar).
-
Strong programming skills in Python, Go, TypeScript or similar languages used for backend and AI platform development, and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
-
Experience with MLOps best practices, including model deployment, monitoring, logging, and automated evaluation. Knowledge of MLOps tools (MLflow, Kubeflow) and practices.
-
Demonstrated ability to address AI privacy and security challenges, as well as compliance with data protection regulations.
-
Familiarity with RAG and its integration into AI-driven applications.
-
Excellent collaboration and communication skills, with a track record of working effectively in cross-functional teams.
-
Passion for staying at the forefront of AI infrastructure and applying new technologies to solve real-world problems at scale.
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 452 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got over 200,000 jobs from 15,000+ vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 15,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say