Lead Software Engineer - AI Agents
Core
Design and build scalable backend systems, agent orchestration frameworks, and low-latency inference pipelines for real-time AI Agents in enterprise environments.
Role type
Lead Software Engineer (AI Agents / Backend Systems)
Builds
Scalable backend infrastructure, agent orchestration frameworks, memory/state management systems, and evaluation pipelines for production AI Agents.
Domain
Enterprise Customer Experience (CX) / AI Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Distributed systems, real-time processing, event-driven architectures, API design (REST/gRPC), microservices, SQL/NoSQL, Docker, Kubernetes, cloud platforms (AWS/GCP/Azure), LLM/SLM integration, system evaluation frameworks.
Preferred skills
None stated.
Technologies
LLMs, SLMs, Docker, Kubernetes, AWS, GCP, Azure, REST, gRPC, SQL, NoSQL.
Responsibilities
Design scalable backend systems for AI Agents; Develop agent orchestration frameworks; Build systems for agent memory and context management; Architect low-latency inference pipelines; Implement evaluation frameworks; Enable continuous improvement loops; Design event-driven workflows; Optimize for high throughput and cost efficiency; Build robust APIs; Partner with Applied AI teams; Translate customer workflows into agentic systems; Drive observability and safety practices.
Seniority
Senior, hands-on IC