Sr. Software Engineer - Applied AI (Hybrid)
Tasks
- Apply adaptive AI techniques for optimization
- Build and ship LLM-powered systems
- Build developer facing SDKs and APIs
- Collaborate with SRE and Security teams
- Create large-scale automation frameworks
- Design and maintain evaluation frameworks
- Develop retrieval-augmented generation pipelines
- Engineer AI copilots and natural-language interfaces
- Implement guardrails and safety systems
- Leverage orchestration frameworks for tool augmented workflows
Perks/Benefits
- Adoption leave
- Employee networks
- Great Place to Work certification
- Paid parental leave
- Paid time off
- Professional development opportunities
- Volunteer opportunities
- Wellness programs
Skills/Tech-stack
Benchmarking | Constrained decoding | Continual Learning | Embeddings | Fine Tuning | Go | Hallucination detection | Injection Defense | JavaScript | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | LoRA | MCP | Model Observability | PII filtering | Prompt injection | Prompt injection defense | Python | QLoRA | RAG | React | Regression testing | Reranking | Retrieval-Augmented Generation | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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