Senior AI Engineer
USD 115K-175K (estimate) Senior-level Full Time
Tasks
- Analyze model outputs and user interactions for iteration
- Benchmark fine tune and optimize models for inference and cost
- Build LLM pipelines embeddings rerankers and RAG architectures
- Build task driven tool using AI agents
- Conduct A/B testing for model improvements
- Define evaluation strategies and metrics for multimodal AI
- Deploy monitor and optimize AI systems in production
- Deploy multilingual translation pipelines
- Design AI systems for language document and speech intelligence
- Design and maintain AI agentic workflows
- Design data pipelines for text document and audio data
- Develop OCR and document understanding systems
- Develop speech AI using STT TTS and voice agents
- Ensure data quality, governance, and security
- Implement observability, logging, and monitoring
- Implement tool calling mechanisms and memory strategies
- Integrate AI components into secure maintainable architectures
- Maintain documentation for AI architectures agents prompts and evaluations
- Mitigate model failure modes bias and regressions
- Translate requirements into robust AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | APIs | Agentic Workflows | B testing | Cloud infrastructure | Embeddings | Fine Tuning | Language Models | Language Processing | Large Language Models | Logging | Microservices | Model Evaluation | Monitoring | Natural Language | Natural Language Processing | OCR | Observability | Prompt engineering | PyTorch | Python | RAG | Reranking | STT | Speech Recognition | Speech synthesis | TTS | TensorFlow | Tool-Calling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Artificial Intelligence | Bachelor of Science in Computer Science | Bachelor of Science in Data Science
Roles
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