Lead Consultant - AI Application Engineering
Tasks
- Build front end back end API integrations
- Create monitoring telemetry and incident playbooks
- Define AI application technical direction
- Define SLOs and on call readiness
- Design secure observable scalable systems
- Drive AI initiatives aligned with business strategy
- Establish CI CD and testing strategies
- Integrate generative AI with LLMs and retrieval
- Lead end to end AI product engineering
- Mentor engineers and build AI capability
- Operationalize machine learning pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Angular | Azure | CI/CD | Continuous Deployment | Continuous integration | Django | Docker | Flask | GANs | Git | Google Cloud | JavaScript | Kubernetes | Microservices | NoSQL | Node.js | OpenAI | PyTorch | Python | REST APIs | React | SQL | Scikit-learn | Snowflake | Transformers | Vue.js
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Application Engineer | Application Engineer | Consultant | Developer | Engineer | Full Stack | Full Stack Developer | Lead | Lead Consultant
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