Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our success.
What you can expect
We're seeking an experienced AI Engineer specializing in agent orchestrator design and implementation, agent, workflow, and LLM evaluation metrics and pipeline design and implementation, agent, workflow and LLM optimizations. You'll be instrumental in developing and deploying intelligent agent systems that can understand context, orchestrate multi-step processes, automate complex workflows, and execute tasks autonomously across our platform. Your expertise will help us create agents that streamline operations, reduce manual intervention, and optimize end-to-end business processes through intelligent automation.
About the Team
The Agentic Workflow Automation team is committed to revolutionizing productivity in communication platforms by streamlining complex workflows, automating routine tasks and make decisions with great speed and clarity. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.
Responsibilities
- Designing and implementing agent architectures that can reason about tasks, plan actions, and execute solutions
- Developing prompt engineering frameworks and techniques for reliable agent behavior
- Implementing safety mechanisms and oversight protocols for autonomous systems
- Building and maintaining LLM-powered services using models like GPT-4, Claude, and internal models
- Optimizing model infrastructure for low latency and high throughput
- Building robust testing frameworks for agent behavior validation
What we’re looking for
- Possess a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or a related field.
- Have 3+ years of experience in AI engineering
- Exhibit expertise micro-service design and implementation
- Have experience with production agent system
- Demonstrate programming skills in Python or Java, with deep learning frameworks (PyTorch, Transformers, LangChain)
- Have experience with cloud infrastructure stack (Kubernetes, Docker, AWS)
