Generative AI Engineer
Position: Generative AI (Gen AI) Developer
Location: Charlotte, NC (Onsite)
Type: Contract
Who are we looking for?
We are seeking a Mid-Level Generative AI Developer with strong expertise in Python , AI-focused Python libraries , and AWS services to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with AWS Bedrock, AWS Knowledge Base , and a deep understanding of LLM models . They also understand Retrieval-Augmented Generation (RAG) models, vector databases, and AWS Serverless Technologies to build scalable and efficient AI solutions.
Key Responsibilities:
· 3+ years of experience in AI/ML development, with a focus on Generative AI and LLMs .
· Strong proficiency in Python and experience with AI/ML-focused libraries (e.g., PyTorch, TensorFlow, LangChain, Transformers).
· Hands-on experience with AWS Bedrock and AWS Knowledge Base .
· Solid understanding of LLM models (GPT, Claude, Llama, Falcon, etc.) and their applications.
· Experience with RAG (Retrieval-Augmented Generation) models and vector databases (e.g., Pinecone, OpenSearch ).
· Expertise in AWS Serverless Technologies , including Lambda, API Gateway, Step Functions, S3, and DynamoDB .
· Familiarity with MLOps practices , CI/CD pipelines for AI models, and cloud-based AI deployment.
· Strong problem-solving skills, analytical thinking, and ability to work independently or in a team environment.
Process Skills:
· Develop and fine-tune Generative AI solutions using foundation models
· Develop and optimize AI solutions using Python and AI-related Python libraries
· Leverage AWS AI Services & AWS Serverless technologies to build & deploy intelligent AI-driven solutions.
· Ability to implement Retrieval-Augmented Generation (RAG) techniques using vector databases to improve AI responses.
· Work closely with cross-functional teams to design and deploy AI-driven applications in a cloud-native environment.
· Stay updated on emerging AI trends, best practices, and advancements in LLMs and generative AI models .
· Collaborate with data engineers and domain experts to integrate AI solutions into existing insurance platforms.
· Ensure compliance with industry regulations and data security standards while handling sensitive insurance data.
Preferred Qualifications:
· Somebody who has at least 6+ years of work experience.
· Education qualification: Any degree from a reputed college
· Knowledge of prompt engineering and techniques to enhance AI response accuracy.
· Exposure to multi-modal AI models (text, image, speech).
· Certification in AWS AI/ML services
· Experience with python AI/ML-focused libraries (e.g., Scikit-learn, pandas, Num-py).
· Knowledge of AWS AI services , such as Comprehend (NLP), Textract (document processing), Rekognition (image analysis), etc .
Position: Generative AI (Gen AI) Developer
Location: Charlotte, NC (Onsite)
Type: Contract
Who are we looking for?
We are seeking a Mid-Level Generative AI Developer with strong expertise in Python , AI-focused Python libraries , and AWS services to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with AWS Bedrock, AWS Knowledge Base , and a deep understanding of LLM models . They also understand Retrieval-Augmented Generation (RAG) models, vector databases, and AWS Serverless Technologies to build scalable and efficient AI solutions.
Key Responsibilities:
· 3+ years of experience in AI/ML development, with a focus on Generative AI and LLMs .
· Strong proficiency in Python and experience with AI/ML-focused libraries (e.g., PyTorch, TensorFlow, LangChain, Transformers).
· Hands-on experience with AWS Bedrock and AWS Knowledge Base .
· Solid understanding of LLM models (GPT, Claude, Llama, Falcon, etc.) and their applications.
· Experience with RAG (Retrieval-Augmented Generation) models and vector databases (e.g., Pinecone, OpenSearch ).
· Expertise in AWS Serverless Technologies , including Lambda, API Gateway, Step Functions, S3, and DynamoDB .
· Familiarity with MLOps practices , CI/CD pipelines for AI models, and cloud-based AI deployment.
· Strong problem-solving skills, analytical thinking, and ability to work independently or in a team environment.
Process Skills:
· Develop and fine-tune Generative AI solutions using foundation models
· Develop and optimize AI solutions using Python and AI-related Python libraries
· Leverage AWS AI Services & AWS Serverless technologies to build & deploy intelligent AI-driven solutions.
· Ability to implement Retrieval-Augmented Generation (RAG) techniques using vector databases to improve AI responses.
· Work closely with cross-functional teams to design and deploy AI-driven applications in a cloud-native environment.
· Stay updated on emerging AI trends, best practices, and advancements in LLMs and generative AI models .
· Collaborate with data engineers and domain experts to integrate AI solutions into existing insurance platforms.
· Ensure compliance with industry regulations and data security standards while handling sensitive insurance data.
Preferred Qualifications:
· Somebody who has at least 6+ years of work experience.
· Education qualification: Any degree from a reputed college
· Knowledge of prompt engineering and techniques to enhance AI response accuracy.
· Exposure to multi-modal AI models (text, image, speech).
· Certification in AWS AI/ML services
· Experience with python AI/ML-focused libraries (e.g., Scikit-learn, pandas, Num-py).
· Knowledge of AWS AI services , such as Comprehend (NLP), Textract (document processing), Rekognition (image analysis), etc .
