You will lead the architecture and delivery of applied AI solutions using Large and Small Language Models in a production environment.
This role is remote.
Responsibilities
- Architect and develop Agentic AI applications leveraging LLMs and SMLs for automation and content generation.
- Manage delivery for AI engineering initiatives, ensuring projects meet scope, timeline, and quality standards.
- Drive productionization, ensuring reliability, observability, and lifecycle management of deployed models.
- Lead and mentor AI engineers on architecture, design, and implementation best practices for distributed AI systems.
Required Skills
- 7+ years of software or AI engineering experience, with 2+ years in a leadership or architecture role.
- Proven experience delivering LLM and SML-based applied AI systems into production.
- Expertise in Python, FastAPI, Azure Cloud, and containerized environments (Kubernetes).
- Experience with LangChain, LangGraph, vector databases, and RAG pipelines.
- Strong foundation in distributed systems, microservices, and event-driven architectures.
- Familiarity with Kafka and CI/CD practices.
- Demonstrated experience managing delivery for engineering teams or multi-stream technical projects.
Preferred Skills
- Bachelor's or Master's degrees in a relevant technical field.