AI Solutions Engineer
Tasks
- Build RAG pipelines using AWS AI ML services
- Connect LLM APIs using prompt engineering
- Create and deliver technical recommendations tutorials and sample code
- Develop and maintain system documentation SOPs and reports
- Develop full stack web solutions using Python and React
- Document and track work using a ticketing system
- Engage customers to understand business problems and implement generative AI solutions
- Follow Agile scrum sprint planning and ticketing workflows
- Implement AWS security and compliance including IAM roles VPCs and encryption
- Implement data pipelines vectorization methods and API integrations
- Integrate vector database technologies for document retrieval and similarity search
- Manage structured and unstructured data using S3 OpenSearch and Aurora
- Research design develop and evaluate generative AI solutions
- Use Docker and AWS Lambda or ECS for scalable deployments
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS Lambda | Agile | Amazon Aurora | Amazon Bedrock | Amazon Comprehend | Amazon ECS | Amazon S3 | Amazon SageMaker | Amazon Web Services | DOD Compliance | Data Pipelines | DevOps | Docker | Encryption | Faiss | IAM | JavaScript | Jira | Language Models | Large Language Models | OpenSearch | Pinecone | Prompt engineering | Python | React | Retrieval-Augmented Generation | VPC | Vector Search | Vectorization | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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