GenAI Engineer

Charlotte, NC, United States (Hybrid)

Contract (5 months 18 days)

Published 7 hours ago

data integration

AI Platforms

aws cloud

performance optimization

SDK Integration

MLOps & CI/CD

rest apis

python programming

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 hands-on expertise with Amazon Bedrock Anthropic Claude models Large Language Models LLMs prompt engineering retrieval augmented generation RAG and scalable cloud native architectures The role involves collaborating with business and technology teams to build AI powered 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 Retrieval Augmented Generation architectures using vector databases and enterprise knowledge sources
• Develop AI powered 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 cloud native 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

Hands-on 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 software cloud development experience
• 2-4 years of hands-on experience in Generative AI and LLM based solution development
• Proven experience delivering enterprise scale 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

The pay range that the employer in good faith reasonably expects to pay for this position is $30.74/hour - $48.04/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.