AI/ML Engineer - Engineering Excellence (Full Stack Developer)
USD 107K-160K Senior-level Full Time
Tasks
- Build Retrieval Augmented Generation systems
- Build containerized services
- Collaborate with architects and product owners
- Create CI CD workflows for AI services
- Design SQL and NoSQL data storage
- Design end-to-end AI systems
- Develop and implement Agentic AI systems
- Develop and integrate Generative AI solutions
- Ensure ethical AI and data privacy compliance
- Establish engineering best practices
- Fine-tune and optimize large language models
- Implement prompt engineering
- Improve observability and cost efficiency
- Lead application development teams
- Optimize model performance with compression and quantization
- Orchestrate services with Kubernetes
- Own AI model deployment pipeline
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | Alerting | Azure | CI/CD | Cassandra | Distributed Training | Docker | DynamoDB | GCP | Generative AI | Infrastructure as Code | Java | Keras | Kubernetes | Language Models | Language Processing | Large Language Models | Logging | Machine Learning | MongoDB | Monitoring | MySQL | Natural Language | Natural Language Processing | NoSQL | OpenShift | PostgreSQL | Prompt engineering | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | SQL | Spring Boot | TensorFlow | “as-code”
Education
Regions
Countries
States
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