LLM Systems / AI Agent Engineer (Remote, Full-Time) [AS311]
- Role
- AI / ML
- Employment
- Full-time
Open to IN only. Set where you work from to check your eligibility.
No BS summary
Senior LLM systems / AI-agent engineer to build and operate production AI agents and orchestration on foundation models. Remote, full-time; first dedicated hire on AI-agenting working with existing engineering lead. Strong experience with agent architectures, orchestration, context engineering, evaluation pipelines and production observability required.
Core skills
Required skills
About Smart Working At Smart Working, we believe your job should not only look right on paper but also feel right every day. We're one of the highest-rated workplaces on Glassdoor, connecting exceptional professionals with outstanding global teams and products through long-term remote opportunities. Our mission is to break down geographical barriers and create meaningful career opportunities where talented individuals can thrive, grow, and make a genuine impact. When you join Smart Working, you become part of a supportive and collaborative community that values integrity, excellence, continuous learning, and professional growth. We provide the tools, support, and environment needed to help you succeed while enjoying the flexibility of a truly remote-first workplace. About the Role As an LLM Systems / AI Agent Engineer, you will focus on building and evolving production AI agents on foundation models, covering orchestration, context engineering, evaluation pipelines, and production observability and monitoring. This is an LLM systems and AI agent engineering position rather than a traditional ML model-training role. You will be the first dedicated AI-agenting hire, working directly alongside the engineer who currently leads this function. The product currently uses a custom orchestration layer, and your knowledge of agent architecture patterns will help inform whether to continue with this approach or adopt a production framework such as LangGraph or LangChain. Roadmap timings are somewhat tentative, but you will be assigned measurable deliverables immediately upon onboarding.
What you'll do
- Build and evolve production AI agents on foundation models
- Develop orchestration and agent architecture
- Implement context engineering practices
- Create evaluation pipelines for agent behaviour
- Implement production observability and monitoring for agents
- Collaborate with the existing engineer leading this function and deliver measurable roadmap items immediately upon onboarding
What they require
- Position focused on LLM systems and AI agent engineering rather than traditional ML model-training role
- Be the first dedicated AI-agenting hire working directly alongside the current engineering lead
Benefits
- Remote-first workplace
- Supportive and collaborative community
- Opportunities for professional growth and continuous learning
Smart Working connects skilled professionals with global teams and products for full-time, long-term remote roles, aiming to break down geographic barriers and support growth and well-being.