Role overview
*Job : AI/ML Engineer – Generative AI & AWS
Location: Reston, VA
Employment Type: Full-Time
Job Overview**
We are seeking a highly skilled
AI/ML Engineer with strong Generative AI and AWS expertise
to design, develop, and deploy scalable, cloud-native intelligent solutions. The ideal candidate will have hands-on experience across the
end-to-end machine learning lifecycle
, including model development, deployment, and MLOps, along with practical exposure to
LLM-based applications and RAG architectures
.
What you'll work on
- Design and implement end-to-end AI/ML and Generative AI solutions using Python
- Develop, train, evaluate, and optimize machine learning models for production use
- Build and deploy LLM-powered applications such as chatbots, summarization tools, and semantic search systems
- Architect and implement RAG (Retrieval-Augmented Generation) pipelines , embeddings, and vector database integrations
- Develop high-performance Python microservices (FastAPI/Flask) for real-time inference and data processing
- Build and maintain cloud-native applications on AWS , leveraging services such as Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora
- Utilize AWS AI/ML services including SageMaker and Bedrock for model development and deployment
- Implement CI/CD pipelines using GitHub, GitLab, or AWS CodePipeline for automated deployments
- Apply Infrastructure as Code (IaC) practices using Terraform or CloudFormation
- Establish and manage MLOps workflows , including model versioning, monitoring, retraining, and performance optimization
- Collaborate with cross-functional teams including data engineers, product managers, and business stakeholders
What we're looking for
- Experience with vector databases (Pinecone, FAISS, Weaviate)
- Familiarity with LLM frameworks (LangChain, LlamaIndex)
- Experience with containerization (Docker) and orchestration tools (Kubernetes/EKS)
- Knowledge of *real-time data processing and analytics systems
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Ai Engineer Machine Learning Mlops Generative Ai