Lead Consultant - AI Application Engineering
Tasks
- Build Generative AI experiences
- Define AI application architecture
- Design secure scalable AI systems
- Establish CI CD testing and documentation
- Implement model evaluation and monitoring
- Integrate LLMs with prompting fine tuning retrieval
- Lead code reviews and performance audits
- Lead end-to-end full-stack delivery
- Mentor engineers and build AI engineering capability
- Operationalize machine learning pipelines
- Pilot and evaluate new engineering tools and methods
- Set up SLOs telemetry and incident playbooks
Perks/Benefits
Skills/Tech-stack
AWS | Angular | Azure | CI/CD | Django | Docker | Feature Store | Fine Tuning | Flask | GAN | Generative AI | Git | Google Cloud | JavaScript | Kubernetes | Machine Learning | Microservices | Model Monitoring | NoSQL | Node.js | OpenAI | Prompt engineering | PyTorch | Python | RESTful API | React | Retrieval-Augmented Generation | SQL | Scikit-learn | Snowflake | Transformers | Vector Databases | Vue.js
Education
Roles
AI | AI Application Engineer | Application Engineer | Consultant | Engineer | Lead | Lead Consultant
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