Description

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.

Education

Bachelor's or Master's degrees