Senior AI Engineer
Tasks
- Build backend services and REST APIs
- Coordinate cross functional delivery with solution architects and program managers
- Create evaluation frameworks and guardrails
- Deploy AI models to cloud on prem and hybrid
- Design and ship end to end AI solutions
- Develop LLM powered applications with RAG
- Develop ML pipelines and LLMOps infrastructure
- Implement prompt engineering and tool use
- Integrate AI models with enterprise applications
- Lead Agentic AI system development
- Lead end to end technical customer engagements
- Lead pre sales proof of concept engagements
- Manage multiple concurrent engagement workstreams
- Mentor junior ML engineers
- Perform LLM fine-tuning
- Represent company at customer workshops and technical briefings
- Serve as primary technical escalation point
Perks/Benefits
Skills/Tech-stack
CI/CD | Docker | Evaluation | Fine Tuning | Function Calling | Guardrails | Kubernetes | LLM orchestration | LLMOps | Langchain | Llamaindex | Machine Learning | Prompt engineering | PyTorch | Python | RAG | REST API | Responsible AI | Scikit-learn | TensorFlow | Tool use
Education
N/A
Roles
AI Engineer | Engineer | Principal | Principal AI Engineer | Senior AI Engineer
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