Sde Ii (Ai/Ml)
Tasks
- Build RAG pipelines
- Create evaluation frameworks for LLM quality
- Define track quality metrics
- Design implement production AI ML components
- Develop LLM-powered features
- Document technical designs API contracts
- Enforce CI CD deployments for AI services
- Implement agentic workflows
- Improve reliability performance cost efficiency
- Instrument observe agentic workflows
- Lead low level design and contribute to architecture
- Mentor SDE 1 engineers and interns
- Monitor AI services in production
- Optimize model inference latency throughput cost
- Own AI ML modules end to end
- Participate in on call rotations runbooks post mortems
- Perform prompt engineering few shot design
- Respond to production incidents root cause analysis
- Use observability tooling for AI systems
Perks/Benefits
Skills/Tech-stack
AWS | CI/CD | Cost Optimization | CrewAI | Databases | Datadog | Docker | Embeddings | Few-Shot Learning | Few-shot | Go | Grafana | Integration Testing | Java | Kubernetes | LLM Observability | Langchain | Langfuse | Langgraph | Language Models | Language Processing | Large Language Models | Latency optimization | Machine Learning | Maxim | Model Evaluation | Natural Language | Natural Language Processing | Prometheus | Prompt engineering | Python | Regression testing | Retrieval-Augmented Generation | Throughput Optimization | Unit Testing | Vector Databases | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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