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Job Details

Skills

AWS Cloud
Amazon Bedrock
Anthropic Claude
Generative AI / LLM
RAG
Python
Prompt Engineering
Vector Databases
LangChain
LangGraph
LlamaIndex
AWS Lambda
API Gateway
S3
DynamoDB
OpenSearch
ECS/EKS
IAM
FastAPI / REST APIs
AI Agents / Agentic AI
CloudWatch

Summary

Description:

Role Name:

GenAI Engineer

Location:

Charlotte, NC / Hybrid

JOB DESCRIPTION:

Key Responsibilities

Job Title: AWS Generative AI Engineer

Job Summary

We are seeking a highly skilled AWS Generative AI Engineer with strong experience in designing developing and deploying Generative AI solutions on AWS The ideal candidate should possess handson expertise with Amazon Bedrock Anthropic Claude models Large Language Models LLMs prompt engineering retrievalaugmented generation RAG and scalable cloudnative architectures The role involves collaborating with business and technology teams to build AIpowered applications that drive innovation and business value

Key Responsibilities

Design develop and deploy Generative AI solutions leveraging Amazon Bedrock Anthropic Claude and other foundation models
Build and optimize RAG RetrievalAugmented Generation architectures using vector databases and enterprise knowledge sources
Develop AIpowered applications such as chatbots virtual assistants document processing content generation and intelligent search solutions
Create and optimize prompts workflows and model configurations to improve response quality accuracy and performance
Integrate Bedrock foundation models with enterprise applications APIs and AWS services
Implement scalable and secure cloudnative solutions using AWS services such as Lambda API Gateway ECS EKS S3 DynamoDB and OpenSearch
Finetune model outputs through prompt engineering guardrails and evaluation frameworks
Collaborate with data engineers architects product owners and business stakeholders to identify GenAI use cases and deliver solutions
Monitor model performance costs latency and security compliance
Ensure adherence to responsible AI practices governance and security standards
Stay updated with emerging trends in Generative AI LLMs and AWS AIML services

Required Skills Experience

AWS Cloud

Strong experience with AWS Cloud Services
Handson experience with
    Amazon Bedrock
    AWS Lambda
    API Gateway
    Amazon S3
    Amazon DynamoDB
    Amazon OpenSearch
    ECSEKS
    CloudWatch
    IAM

Generative AI LLMs

Strong experience with Amazon Bedrock and Anthropic Claude models
Solid understanding of
    Large Language Models LLMs
    Prompt Engineering
    RAG Architecture
    Vector Databases
    AI Agents and Agentic Workflows
    Finetuning and Model Evaluation
    Responsible AI and AI Governance

Programming Frameworks

Proficiency in Python
Experience with
    LangChain
    LangGraph
    LlamaIndex
    FastAPI
    REST APIs
    SDK integrations

Data Integration

Experience integrating structured and unstructured data sources
Knowledge of embeddings semantic search knowledge bases and document ingestion pipelines

Preferred Qualifications

Bachelors or Masters degree in Computer Science Engineering Data Science or a related field
AWS certifications such as
    AWS Certified
    AWS Certified Machine Learning Engineer
    AWS AI Practitioner
Experience with MLOps CICD and infrastructureascode tools Terraform CloudFormation
Familiarity with other LLM providers such as OpenAI Meta Llama Mistral or Cohere

Experience

5-10 years of overall softwarecloud development experience
2-4 years of handson experience in Generative AI and LLMbased solution development
Proven experience delivering enterprisescale AI solutions on AWS

Key Competencies

Solution Design Architecture
Generative AI LLM Expertise
CloudNative Development
Problem Solving Analytical Thinking
Stakeholder Management
Innovation Mindset
Agile Delivery
Communication and Collaboration Skills

Keywords AWS Amazon Bedrock Anthropic Claude Generative AI GenAI LLM RAG LangChain LangGraph LlamaIndex Vector Database Prompt Engineering Python AI Agents OpenSearch Lambda Cloud Architecture

SYSMIND LLC is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without any discrimination. We promote and support a diverse workforce at all levels in the company. All job offers are contingent upon completion of a satisfactory background check and reference checks. Additionally passing the drug test may also be required. All contractors intending to work on SYSMIND's W2 are "at will" employees.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10114932
Position Id: 135994-9119-1785451608
Posted 13 hours ago

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