Job description

Our Client, an IT Services and Consultant company, is looking for an AWS AI Engineer for their Charlotte, NC / Remote location. Responsibilities: • Develop MVP User Stories (Re-usable components/ API’s etc) • Support backlog creation, prioritization, and Story mapping • Support in technical design and solutioning • Ability to work across tiers – Development, APIs, databases • Ability to utilize DevOps CI/CD pipeline, create/configure build and deploy jobs • Experience working in XP and pair programming model and understands and performs TDD • Responsible for assigned task delivery and quality and knowledge transfer through daily pairing • Motivated and energetic engineers who are passionate about software modernization • Must be able to clearly communicate with team members and leadership • Participate in paired programming and XP development • Strong ability to work independently when required • Turn complex ideas into manageable pieces of work • Hands-on, Individual contribution and Mentor other developers in team • Support team members on troubleshooting Requirements: • Key technology skill sets – Gen AI, Agentic AI, AWS Bedrock, Python, Prompt Designing, Advanced RAG Architecture, LLM, Data Engineering, AI Model Performance Management • AWS Services: Amazon Bedrock, Agent Core Platform, AWS Strands, SageMaker, S3, Lambda, API Gateway, SQS/SNS, and other core AWS services like Redshift, Aurora Postgres, Glue, EMR, Lambda, Step Functions, CloudWatch • Generative AI Mastery: Practical exp with foundational models (e.g., Anthropic Claude, Stability AI, Llama variants), including Spec Driven Dev (SDD), prompt engineering, fine-tuning, and safety mechanisms. • Programming Skills: Advanced proficiency in Python and its data science stack (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). • Vector & Database Systems: Familiarity with vector databases or RDS Vector Store for RAG implementations. • Agentic Frameworks: Proven experience with orchestration tools like LangChain and LlamaIndex for building autonomous agents. • Delivery ownership of assigned module • Ability to understand the future Architecture and guide the team with require technical direction • 10+ years of exp in AI system design, ML, NLP with 1-2 years in Gen AI or Agentic AI (preferably 12-15 yrs) • Agentic AI, Gen AI, Prompt Designing, Advanced RAG Architecture, LLM • AWS core services including Bedrock • Python, PySpark Why Should You Apply? • Health Benefits • Referral Program • Excellent growth and advancement opportunities

Requirements

Must-haves

Our Client, an IT Services and Consultant company, is looking for an AWS AI Engineer for their Charlotte, NC / Remote location.
Develop MVP User Stories (Re-usable components/ API’s etc)
Support backlog creation, prioritization, and Story mapping
Support in technical design and solutioning
Ability to work across tiers – Development, APIs, databases
Ability to utilize DevOps CI/CD pipeline, create/configure build and deploy jobs
Experience working in XP and pair programming model and understands and performs TDD
Responsible for assigned task delivery and quality and knowledge transfer through daily pairing
Motivated and energetic engineers who are passionate about software modernization
Must be able to clearly communicate with team members and leadership
Participate in paired programming and XP development
Strong ability to work independently when required
Turn complex ideas into manageable pieces of work
Hands-on, Individual contribution and Mentor other developers in team
Support team members on troubleshooting
Key technology skill sets – Gen AI, Agentic AI, AWS Bedrock, Python, Prompt Designing, Advanced RAG Architecture, LLM, Data Engineering, AI Model Performance Management
AWS Services: Amazon Bedrock, Agent Core Platform, AWS Strands, SageMaker, S3, Lambda, API Gateway, SQS/SNS, and other core AWS services like Redshift, Aurora Postgres, Glue, EMR, Lambda, Step Functions, CloudWatch
Generative AI Mastery: Practical exp with foundational models (e.g., Anthropic Claude, Stability AI, Llama variants), including Spec Driven Dev (SDD), prompt engineering, fine-tuning, and safety mechanisms.
Programming Skills: Advanced proficiency in Python and its data science stack (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow).
Vector & Database Systems: Familiarity with vector databases or RDS Vector Store for RAG implementations.
Agentic Frameworks: Proven experience with orchestration tools like LangChain and LlamaIndex for building autonomous agents.
Delivery ownership of assigned module
Ability to understand the future Architecture and guide the team with require technical direction
10+ years of exp in AI system design, ML, NLP with 1-2 years in Gen AI or Agentic AI (preferably 12-15 yrs)

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

awsaiapici/cdpythonllmpostgresml

Platform: jobdiva
Effort: medium