Senior AWS Bedrock Developer
Role: Senior AWS Bedrock & SageMaker Developer
Location: San Antonio, TX (Onsite)
Job type: Contract
Client: Kenfont
Experience: 8- 12
skills: AWS bedrock, Sage maker, Gen AI, Prompt engineering, RAG, Python
Required Skills:
- 10+ years of software development experience
- Strong expertise in AWS Bedrock, Amazon SageMaker, and Generative AI
- Hands-on experience with Prompt Engineering, RAG (Retrieval-Augmented Generation), AI Agents, and Bedrock Knowledge Bases
- Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch)
- Experience with Amazon Bedrock APIs, Vector Databases, and embeddings
- Expertise in SageMaker Studio, Training Jobs, Endpoints, Pipelines, Model Registry, and Feature Store
- Strong knowledge of AWS services: S3, IAM, Lambda, EC2, API Gateway, CloudWatch
- Experience with Microservices, REST APIs, CI/CD, DevOps, and GitHub Enterprise
- Knowledge of MLOps, model monitoring, data drift detection, and ML lifecycle management
Key Responsibilities:
- Design and develop Generative AI solutions using AWS Bedrock and Amazon SageMaker.
- Build AI applications with Prompt Engineering, RAG, AI Agents, and Bedrock Knowledge Bases.
- Develop scalable backend services using Python and integrate with enterprise systems.
- Implement vector search, embeddings, and AI workflow automation.
- Build, deploy, monitor, and optimize ML models using SageMaker.
- Integrate AI/ML solutions with AWS services while ensuring security, scalability, compliance, and cost optimization.
- Collaborate with cross-functional teams to deliver production-ready AI and ML solutions.