onsite
Software Engineer / Research Engineer - Agent Orchestration - Recruiting From Scratch
Research Engineer
Lead backend and ML development for a conversational AI platform, designing scalable agent orchestration services using Python, Node.js, and AWS. Drive performance, reliability, and innovation in a fast‑paced, enterprise‑grade environment.
About the role
Key Responsibilities
- Design, implement, and maintain high‑throughput backend services that orchestrate conversational agents across multiple channels.
- Develop and deploy machine learning models for intent recognition, entity extraction, and dialogue management.
- Collaborate with cross‑functional teams to define API contracts, data pipelines, and deployment workflows.
- Optimize system performance, scalability, and reliability using containerization (Docker) and cloud services (AWS).
- Mentor junior engineers, conduct code reviews, and champion best practices in software quality and security.
Requirements
- 3–15 years of experience in backend and/or machine learning engineering.
- Solid understanding of NLP/ML concepts and experience deploying models in production.
- Excellent problem‑solving skills, strong communication, and a collaborative mindset.
Skills
pythonnodejsmachine learningawsdocker