Lead Software Engineer - AI Agents
Tasks
- Architect low-latency inference pipelines
- Build agent memory context management and state persistence
- Build robust APIs and service layers
- Collaborate with applied AI and ML teams to productionize models
- Contribute to scaling multi tenant enterprise platform architectures
- Design event driven asynchronous workflows
- Design scalable backend systems for AI agents
- Develop agent orchestration frameworks
- Drive observability monitoring safety and guardrails
- Enable continuous improvement loops for agents
- Implement evaluation frameworks for agent performance
- Optimize high throughput low latency cost efficient inference
- Translate customer workflows into agentic systems
Perks/Benefits
- Flexible vacation policy
- Health insurance coverage
- Regular team offsites and in person collaboration
- Work with globally distributed team
Skills/Tech-stack
A/B | A/B Testing | API Design | AWS | Azure | B testing | Concurrency | Data Modeling | Distributed Systems | Docker | Event Driven | Event-driven architecture | Event-driven workflows | GCP | GRPC | Kubernetes | Language Models | Large Language Models | Low Latency | Microservices | NoSQL | Performance optimization | Prompt engineering | RAG | REST | Real Time | Real-time Processing | Retrieval-Augmented Generation | SQL | Streaming | System design | Time processing | Vector Databases
Education
N/A
Roles
Engineer | Lead | Lead Software Engineer | Software Engineer
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