Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Starter

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Amazon Web Services Systems Engineering Amazon DynamoDB Systems Analysis Python (Programming Language) Machine Learning Scrum Methodology Large Language Models Prompt Engineering Model Validation Automation Anywhere

Job description

• Design and implement generative AI optimization solutions, intelligent model routing, and orchestration pipelines within AWS environments.
• Build robust AI workflows utilizing Python, LangChain, LLMs, and vector databases while applying enterprise cloud architecture best practices., * Design and implement intelligent model routing logic and orchestration layers using AWS Bedrock, LangChain, and machine learning classification.
• Architect conversation context analysis systems, context retrieval strategies, and prompt engineering standards for multi-turn interactions.
• Implement enterprise platform engineering best practices, including high-availability design, model evaluation, guardrails, and observability.
• Design and maintain data pipelines and vector databases using DynamoDB and Amazon OpenSearch to support model training and integration.
• Participate in Agile/Scrum ceremonies and produce high-quality technical documentation and architecture diagrams.

Requirements

• Degree: Technical bachelor’s degree or equivalent experience
• Years of experience: 3+ years
• Total Compensation: $391k+ yearly

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