LLM Systems / AI Agent Enginee · Bengaluru

LLM Systems / AI Agent Engineer (Remote, Full-Time) [AS311] is a delivery-focused opportunity based in Bengaluru, India.

We're one of the highest-rated workplaces on Glassdoor, connecting exceptional professionals with outstanding global teams and products through long-term remote opportunities. We provide the tools, support, and environment needed to help you succeed while enjoying the flexibility of a truly remote-first workplace.

Key Responsibilities

• We're one of the highest-rated workplaces on Glassdoor, connecting exceptional professionals with outstanding global teams and products through long-term remote opportunities
• We provide the tools, support, and environment needed to help you succeed while enjoying the flexibility of a truly remote-first workplace
• This is an LLM systems and AI agent engineering position rather than a traditional ML model-training role
• Design, build, and improve software systems that support the goals of the LLM Systems / AI Agent Engineer (Remote, Full-Time) [AS311] function.
• Translate product or business requirements into clean, maintainable technical solutions.
• Write high-quality code with appropriate testing, code review, and documentation discipline.
• Collaborate with product, design, QA, and peer engineers to deliver reliable releases.
• Investigate bugs, performance issues, and production risks with a strong root-cause mindset.
• Improve system reliability, observability, and maintainability through thoughtful engineering decisions.
• Contribute to architecture and implementation discussions with pragmatic technical trade-offs.
• Break down complex work into clear milestones and communicate status transparently.
• Refactor and simplify existing code where it improves long-term velocity and quality.

Preferred Qualifications

• Bachelor's degree or equivalent practical experience in computer science, engineering, or a related field.
• Strong coding fundamentals with attention to reliability, performance, and maintainability.
• Experience working with code reviews, testing practices, and collaborative delivery workflows.
• Ability to break down ambiguous problems into clear technical solutions.
• Comfort partnering with cross-functional teams in iterative product or platform environments.
• Strong debugging, communication, and ownership skills across the software lifecycle.

Applications should be submitted through the listed apply link.