Software Engineer (Agentic AI, LLM, Python | 5 to 8 Years)
Tasks
- Build data pipelines
- Collaborate with design and product management
- Create technical design documentation
- Debug and resolve production software issues
- Define AI RAG architecture APIs databases and distributed systems
- Deploy AWS cloud native architecture using S3 SQS SNS Lambda Docker and Kubernetes
- Design scalable Python backend systems
- Develop agentic AI systems using LangGraph
- Mentor engineers and set engineering standards
- Optimize LLM performance token latency and cost
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | AWS Lambda | Agent systems | Agentic AI | Amazon S3 | Amazon SNS | Amazon SQS | Backend Development | Caching | Cost Optimization | Data Pipelines | Databases | Distributed Systems | Docker | ETL | Kubernetes | LLM Evaluation | LLM optimization | Langgraph | Langsmith | Language Models | Large Language Models | Latency optimization | Multi-Agent | Multi-Agent Systems | Observability | Partition Pruning | Python | RAG | Storage Format Tuning | Token optimization | Versioned prompts | Workload Aware Scheduling
Education
N/A
Roles
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