Senior AI Engineer
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.
You'll collaborate across engineering, product, and research teams to ensure Iru's 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 Iru's 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 Iru's 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:
Bachelor's or Master's 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.
Benefits & Perks:
Competitive salary
Hybrid work environment (3 days in office per week)
100% individual and dependent medical + dental + vision coverage
401(K) with a 4% company match
20 days PTO
Iru Wellness Week the first week in July
Equity for full-time employees
In-office lunch stipend provided
Up to 16 weeks of paid leave for new parents
Paid Family and Medical Leave
Modern Health mental health benefits for individuals and dependents
Fertility benefits
Working Advantage employee discounts
Onsite fitness center
Free parking
Exciting opportunities for career growth
We are excited to be serving a significant need for a fast-growing market, and are proud of the high-performing team we have brought together so far. If you're someone who wants to engage in new, exciting projects that will challenge your skills in the best way possible, we would love to connect with you.
At Iru, we believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and welcome those from all backgrounds and varying experiences.
Iru is proud to be an equal opportunity employer committed to diversity and inclusion in the workplace. Qualified applicants will be considered for employment without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, physical or mental disability, protected veteran or military status or any other status protected by applicable law.