Software Engineer (Agentic AI, LLM, Python | 5 to 8 Years)
Tasks
- Build data pipelines
- Create technical design documentation
- Debug production issues
- Define AI RAG architecture and APIs
- Deploy and manage distributed systems
- Design scalable Python backend systems
- Develop agentic AI and LLM systems
- Implement cloud-native architecture on AWS
- Maintain user documentation
- Mentor engineers and set engineering standards
- Optimize LLM performance token latency and cost
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS Lambda | Caching | Cost Optimization | Databases | Distributed Systems | Docker | ETL | ETL optimization | Kubernetes | Langgraph | Langsmith | Language Models | Large Language Models | Latency optimization | Machine Learning | Observability | Partition Pruning | Python | RAG | Rollback Strategy | S3 | SNS | SQS | Storage Format Tuning | Throughput Optimization | Token optimization | Versioned prompts | Workload Aware Scheduling
Education
N/A
Roles
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