AI Model Engineer
Tasks
- Architect model prompting frameworks and agentic prompt templates
- Build retrieval-augmented generation pipelines
- Build tool using AI agents and multi agent workflows
- Collaborate with stakeholders for AI capability development
- Containerize models and manage model serving
- Create reusable AI capability modules
- Deploy and scale models in production
- Design fine tune LLMs and multimodal models
- Develop evaluation datasets synthetic tests and red teaming
- Document architectural approaches and model behaviors
- Implement PEFT LoRA QLoRA fine tuning
- Implement PHI PII guardrails and HIPAA compliant behavior
- Implement memory systems shared context scratchpads verification loops
- Integrate AI agents with internal microservices and ingestion pipelines
- Maintain model registries and versioned deployments
- Monitor model drift regressions latency and accuracy degradation
- Optimize inference speed accuracy grounding reliability
- Support GPU accelerator utilization and model serving frameworks
Perks/Benefits
- 401k employer match
- Health insurance
- Paid Holidays
- Paid Long Term Disability
- Paid Short Term Disability
- Paid life insurance
- Paid sick leave
- Paid vacation
- Professional development
- Tuition assistance
Skills/Tech-stack
Agentic AI | Audio Processing | CUDA | Chain-of-Thought | Docker | Document processing | EDI | Embeddings | FHIR | GPU | HL7 | Huggingface | Kubernetes | Langchain | Llamaindex | LoRA | Model Evaluation | Model Monitoring | Model Serving | Multimodal | NER | NLP | PDF Processing | PEFT | Planning | Prompt engineering | PyTorch | Python | QLoRA | Qdrant | Red Teaming | Retrieval-Augmented Generation | Semantic Search | Synthetic data | TPU | TensorRT | Tool-Calling | Transformer | Transformers | VLLM | Vector Databases | Verification Loops
Education
Roles
AI | AI Model Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Model Engineer
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