Prompt Engineer !! Remote !! Job type : Contract - W2 Only No Third Party !! 12 Years of experience is required

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Machine Learning
NLP
AWS
Bedrock
Gen-AI
PhD in ML/Data Science/Mathematics
Oracle SQL
Data Analytic principles
Data Modeling principles
Prompt

Job Details

Job role : Prompt Engineer

Location : Remote

Job type : Contract - W2 Only

Duration : 12th + Months

Note: we are looking for Prompt Engineer, who has hands on experience with Machine Learning, NLP, AWS, Bedrock, Gen-AI and PhD in ML/Data Science/Mathematics.

Must have hands on experience with below skills:

  • Multiple years of AWS experience- cloud engineering skills especially in ML.
  • Multiple years of ML experience, especially in NLP.
  • experience with GenAI and Bedrock.
  • PhD in ML

Core Skills Required

  1. Prompt Engineering Expertise

- Experience optimizing prompts for data extraction tasks

- Strong teaching ability to explain prompt engineering principles

- Skill in creating reusable prompt templates and patterns

- Ability to develop documentation and training materials

  1. LLM/GenAI Knowledge

- Understanding of current GenAI capabilities and limitations

- Talent for demystifying GenAI concepts for practitioners

- Experience creating GenAI capability roadmaps for teams

- Practical knowledge of model selection for specific use cases

  1. Knowledge Base Implementation

- Experience building and structuring knowledge bases for LLMs

- Ability to create maintainable knowledge base architectures

- Focus on sustainable, manageable solutions your team can maintain

- Experience with knowledge base evaluation and improvement cycles

  1. Agentic AI Systems

- Experience designing multi-agent workflows

- Skill in creating modular, understandable agent components

- Ability to teach agent design principles to your team

- Focus on practical, maintainable agent architectures

Additional Key Qualities for Knowledge Transfer

- Teaching/Mentoring**: Exceptional ability to transfer knowledge while working

- Documentation**: Creates comprehensive, accessible documentation for future reference

- Simplification**: Makes complex GenAI concepts approachable for team members

- Practical Focus**: Emphasizes solutions your team can maintain independently

- Collaborative Approach**: Works alongside team members rather than in isolation

- Domain knowledge of US Medical / workers compensation Insurance / PPO concepts

Deliverables

  1. Optimized prompts with detailed explanations of improvements
  2. Prompt engineering playbook customized for your use case
  3. Knowledge base architecture with maintenance documentation
  4. Training materials for ongoing prompt optimization
  5. Guided exercises for team skill development
  6. Sustainability plan for maintaining GenAI capabilities

Other tech stack elements

- Oracle SQL

- High level programming languages and concepts

- AWS Bedrock

- Strands or similar AI agent framework / orchestration layer

- Data Analytic principles

- Data Modeling principles

Education :

  • PhD in ML/Data Science/Mathematics.
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