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# AI Engineer / AWS Bedrock

- **Company:** Momento USA LLC
- **Location:** Bellmawr, NJ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $47,840.0 - $52,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, ARM Architecture, Databases, Continuous Integration, Identity and Access Management, Python (Programming Language), Machine Learning, Performance Tuning, Cloud Services, Enterprise Software Applications, Large Language Models, Snowflake, Prompt Engineering, Generative AI, Microsoft Fabric, Virtual Agents, Functional Programming, Cloudwatch, Api Gateway, Restful APIs, Docker, Databricks
- **Published:** August 22, 2026
- **Apply:** https://www.careerjet.com/jobad/us128c55459c50c62a1a27af15a602272d

## About the Role

* Strong experience with AWS Bedrock and Generative AI.
 * Hands-on experience with LLMs, RAG, AI Agents, and Prompt Engineering.
 * Strong Python programming skills.
 * Experience with AWS services such as S3, Lambda, IAM, API Gateway, and CloudWatch.
 * Experience with REST APIs, Docker, CI/CD, and cloud deployments.
 * Knowledge of Vector Databases, embeddings, and Machine Learning/NLP.

Preferred Skills

 * LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
 * SageMaker, Snowflake Cortex, Databricks, or Microsoft Fabric.
 * Experience with LLM evaluation, fine-tuning, AI security, and governance.

## Description

We are looking for an experienced AI Engineer with strong hands-on experience in AWS Bedrock, Generative AI, LLMs, and AI Agents to build scalable and production-ready AI solutions., * Design and develop Generative AI and LLM-powered applications using AWS Bedrock.

 * Build AI Agents, Agentic AI, and RAG-based solutions.
 * Work with Bedrock Foundation Models, Knowledge Bases, Agents, and Guardrails.
 * Develop AI applications and APIs using Python and AWS services.
 * Implement prompt engineering, embeddings, vector databases, and LLM evaluation.
 * Integrate AI solutions with enterprise applications, APIs, and databases.
 * Ensure solutions are secure, scalable, reliable, and production-ready.


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