AI /ML Engineer

Role:

AI /

ML Engineer Location:

Fort Mill SC or New York NY Experience:

8-12 Years Job Summary We are seeking a highly skilled AI Engineer with expertise in Generative AI, AWS Bedrock, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Vector Databases. The ideal candidate will be responsible for designing, developing, and deploying enterprise-grade AI solutions leveraging AWS AI services and modern data architectures. This role requires hands-on experience in building scalable AI applications, integrating foundation models, implementing RAG frameworks, and deploying production-ready GenAI solutions. Key Responsibilities Design and develop Generative AI solutions using AWS Bedrock and foundation models. Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases. Develop AI-powered applications including chatbots, virtual assistants, document intelligence, and agentic AI solutions. Integrate LLMs with enterprise applications, APIs, and data platforms. Design and maintain vector search architectures using Pinecone, Weaviate, OpenSearch, ChromaDB, or similar platforms. Develop scalable data ingestion, embedding, indexing, and retrieval pipelines. Implement prompt engineering, model evaluation, fine-tuning, and guardrails. Collaborate with Data Engineers, Solution Architects, and Product teams to deliver AI-driven solutions. Ensure security, scalability, observability, and governance of AI applications. Monitor model performance and continuously improve AI solution accuracy and efficiency. Stay current with emerging AI technologies, LLM frameworks, and cloud-native AI services. Required Skills Generative AI Strong understanding of LLMs and Generative AI concepts. Experience with RAG architecture and Agentic AI frameworks. Prompt Engineering and Model Evaluation. Fine-tuning and model optimization techniques. AWS Cloud AWS Bedrock Amazon SageMaker AWS Lambda API Gateway

ECS/EKS S3

DynamoDB CloudWatch IAM Vector Databases Pinecone Weaviate ChromaDB OpenSearch Vector Engine FAISS Milvus Programming Python (Mandatory) LangChain LangGraph LlamaIndex Fast

API REST

APIs Data & Integration SQL NoSQL Databases ETL Pipelines Data Modeling API Integration DevOps & MLOps Docker Kubernetes CI/CD Pipelines GitHub Actions Terraform Model Monitoring and Governance Required Skills for candidate to

Qualifiy:

- Experience with, Financial Services, or Life Sciences domains. Experience deploying AI solutions in production environments. AWS Certified Machine Learning Engineer or AWS Solutions Architect certification. Experience with multi-agent frameworks and autonomous AI systems. Education Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. Nice to Have Knowledge of Anthropic Claude, Amazon Nova, Llama, Mistral, and OpenAI models. Experience with Knowledge Graphs. Experience with Databricks and Snowflake. Experience with Agentic AI and AI Orchestration frameworks.