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 .