Job Description

Job Description: AI/ML Engineer AWS Bedrock/Anthos/Open Source RAG Gen AI Pipeline
Position Overview:
AI/ML Engineer with expertise in cutting-edge technologies such as AWS Bedrock, Anthos, and open-source Retrieval-Augmented Generation (RAG) pipelines. In this role, you will design, develop, and optimize AI-driven solutions that leverage pre-trained large language models (LLMs) and orchestrate intelligent workflows across multi-cloud
environments. This position is ideal for professionals passionate about building scalable and secure AI solutions tailored for specific domains.

Key Responsibilities
AI/ML Model Development:
o Design and deploy AI/ML models using AWS Bedrock, Anthos, and RAG pipelines.
o Fine-tune pre-trained LLMs to meet domain-specific needs.
Pipeline Integration:
o Implement LlamaIndex to orchestrate RAG workflows.
o Automate AI/ML pipelines leveraging Boto3 for seamless AWS service interactions.
Collaboration & Optimization:
o Work closely with data teams to build clean and efficient data pipelines.
o Optimize prompting strategies and LLM performance to enhance model outcomes.
System Architecture:
o Develop scalable and secure inference pipelines compatible with multi- cloud architectures.
o Ensure robust deployment using DevOps practices, including containerization and CI/CD pipelines.
Research & Innovation:
o Explore and implement innovative techniques for prompt engineering and
LLM optimizations.

Required Technologies and Skills Cloud Platforms:
AWS (Bedrock, SageMaker, Lambda)
Anthos and multi-cloud solutions
AI/ML Frameworks:
TensorFlow, PyTorch, scikit-learn
RAG Stack:
LangChain, LlamaIndex, Haystack, Milvus, Weaviate
DevOps Tools:
Docker, Kubernetes, Terraform, CI/CD
Programming Languages:
Python (proficiency with Boto3)
JavaScript

Databases:
PostgreSL, Redis, DynamoDB, Elasticsearch
Security and Scaling:
Familiarity with cloud security best practices and multi-region scaling.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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• Dice Id: 10410658
• Position Id: 8483504

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