Sr. AI Software Engineer
USD 155K-200K (estimate) Senior-level Full Time
Tasks
- Architect agentic AI systems
- Build data preprocessing feature engineering labeling pipelines
- Build reusable AI platform tooling
- Collaborate with product and clinical stakeholders
- Design hybrid retrieval strategies
- Design secure HIPAA compliant data and ML pipelines
- Develop LLM fine tuning adapters
- Develop technical roadmaps and communicate trade offs
- Establish FinOps cost performance reliability standards
- Evaluate emerging models and drive adoption
- Implement MLOps CI CD automated evaluation AB testing canary deployments incident response
- Implement model lifecycle management
- Lead production deployment of AI systems
- Mentor engineers lead design reviews
- Optimize hyperparameters architecture quantization
- Optimize retrieval quality latency grounding
- Own RAG architecture
- Perform prompt engineering
- Run distributed GPU training
- Train and deploy LLMs
- Version evaluate monitor drift detect retrain
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Search | Azure | Azure AI | Azure AI Search | Azure ML | B testing | CI/CD | Canary Deployment | Databricks | Distributed Training | Faiss | Feature Engineering | Fine Tuning | Hyperparameter Tuning | Inference Optimization | LLM | Langchain | Llamaindex | MLOps | MLflow | Observability | PGVector | Python | Quantization | RAG | Semantic Kernel | Spark | Transformers | Vector Database | Vector Search
Education
Roles
AI Engineer | Engineer | Senior AI Engineer | Software Engineer
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