Software Engineer, AI Agent

[Technical Leadership] • Design and lead implementation of core agent features, from advanced RAG pipelines to multi-step tool use. • Establish best practices for prompt engineering, agent orchestration, and observability, and testing. [Agent Platform Development] • Drive architectural decisions for building a scalable and fault-tolerant AI agent platform. • Focus on developing core AI/ML agent logic and orchestration, ensuring that the intelligence layer powering our agents is robust and extensible. • Build and optimize supporting systems and pipelines that improve agent capabilities and performance (evaluation, observability, classification, etc.). • Take ownership of the full development lifecycle, ensuring our systems are performant, reliable, and secure. [Prompt Engineering & Experimentation] • Lead the development and evaluation of prompt strategies for diverse customer use cases, including designing A/B testing and automated regression pipelines. • Optimize agent performance by improving retrieval logic, embedding models, and enhancing RAG pipelines. • Stay on the cutting edge of AI research and apply new techniques to improve our platform. [Mentorship & Collaboration] • Guide junior engineers and interns through code reviews and technical planning. • Work cross-functionally with PMs, designers, and sales engineers to translate customer needs into technical solutions.

• 6–10 years of software engineering experience, including full-stack and backend ownership. • Deep expertise in Python and JavaScript/TypeScript, with a track record of building and scaling production systems. • Strong system design and software architecture skills, with experience in distributed systems and cloud-native deployments (e.g. AWS, GCP). • Hands-on experience with LLM APIs and agentic frameworks (e.g., LangChain, LangGraph, etc). • Strong English proficiency, with the ability to read and write effectively.

• Prior work with real-time or conversational interfaces. • Experience with vector databases, search technologies, or large-scale data processing. • Contributions to open-source LLM or AI tooling ecosystems. • Native-level English fluency.

• For more details, please refer to the company website.