Software Engineer (Agentic AI, LLM, Python | 5 to 8 Years)
Tasks
- Build data pipelines
- Create technical design documentation
- Debug and resolve production issues
- Define AI RAG architecture and APIs
- Deploy cloud-native services on AWS
- Design scalable Python backend systems
- Develop agentic AI and LLM systems
- Develop using S3 SQS SNS Lambda
- Implement distributed systems
- Improve software development processes
- Manage services with Docker and Kubernetes
- Mentor engineers and set engineering standards
- Optimize LLM performance token latency cost
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Agentic AI | Caching | Cost Optimization | Data Pipelines | Database Design | Distributed Systems | Docker | ETL | Kubernetes | LLM Evaluation | Lambda | Langgraph | Langsmith | Language Models | Large Language Models | Latency optimization | Machine Learning | Network technologies | Observability | Partition Pruning | Python | RAG | S3 | SNS | SQS | Storage Format Tuning | Throughput Optimization | Token optimization | Workload Aware Scheduling
Education
N/A
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