Infogain
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Here are the skills sets we are looking for:
Multiple years of AWS experience – cloud engineering skills especially on AWS ML services like SageMaker, etc.
Multiple years of ML experience, especially in NLP.
Experience with GenAI and Bedrock.
Master’s or PhD in ML.
Looking for people with experience deploying ML models on AWS in production.
Core Skills Required
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.
LLM/GenAI Knowledge
Understanding of current GenAI capabilities and limitations. Experience creating GenAI capability roadmaps for teams. Practical knowledge of model selection for specific use cases.
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.
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, and PPO concepts. Deliverables
Optimized prompts with detailed explanations of improvements. Prompt engineering playbook customized for your use case. Knowledge base architecture with maintenance documentation. Training materials for ongoing prompt optimization. Guided exercises for team skill development. 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. Seniority Level
Mid‑Senior level Employment Type
Full‑time Job Function
Business Development, Product Management, and Information Technology. Industries
IT Services and IT Consulting. Data Infrastructure and Analytics. IT System Custom Software Development. Referrals increase your chances of interviewing at Infogain by 2x. Get notified about new Machine Learning Engineer jobs in
San Diego, CA .
#J-18808-Ljbffr
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.
LLM/GenAI Knowledge
Understanding of current GenAI capabilities and limitations. Experience creating GenAI capability roadmaps for teams. Practical knowledge of model selection for specific use cases.
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.
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, and PPO concepts. Deliverables
Optimized prompts with detailed explanations of improvements. Prompt engineering playbook customized for your use case. Knowledge base architecture with maintenance documentation. Training materials for ongoing prompt optimization. Guided exercises for team skill development. 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. Seniority Level
Mid‑Senior level Employment Type
Full‑time Job Function
Business Development, Product Management, and Information Technology. Industries
IT Services and IT Consulting. Data Infrastructure and Analytics. IT System Custom Software Development. Referrals increase your chances of interviewing at Infogain by 2x. Get notified about new Machine Learning Engineer jobs in
San Diego, CA .
#J-18808-Ljbffr