AI AWS Bedrock Engineer

Trinity Technology Solutions LLC; Marysville (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

Trinity Technology Solutions LLC is seeking an AI/ML engineer to design and implement LLM-based applications and AI workflows. You will integrate AWS Bedrock, manage model selection and guardrails, and build scalable back-end services.

You will develop vector search pipelines, orchestrate agents for multi-step reasoning, and ensure robust data pipelines, authentication, and cost controls while delivering responsive chat interfaces.

Qualifications

• Design and implement LLM-based applications and RAG pipelines.
• Integrate foundation models via Bedrock and manage evaluation.
• Build and optimize vector search with OpenSearch, Kendra, or Pinecone.
• Implement agent orchestration frameworks for multi-step reasoning.
• Build scalable APIs with Python FastAPI/Flask or Node.js.
• Create data pipelines for training and inference with AWS Glue/EMR.

Skills

ASP.NET MVC

AWS AI Services

AWS Bedrock

Prompt Engineering

Job description

Mandatory Skills : ASP.NET MVC, AWS AI Services, AWS Bedrock, Prompt Engineering

JOB DESCRIPTION

SKILLS NEEDED :

Design and implement LLMbased applications RAG pipelines agentic workflows finetuning prompt engineering

Integrate foundation models via Amazon Bedrock and manage model selection guardrails and evaluation

Build and optimize vector search and retrieval pipelines Amazon OpenSearch Kendra or thirdparty vector DBs like Pinecone on AWS

Implement agent orchestration frameworks LangChain LangGraph Bedrock Agents for multistep reasoning tasks

Build scalable APIs and microservices using Python FastAPIFlask or Nodejs

Implement data pipelines with AWS Glue EMR or native Python ETL for traininginference data prep

Manage containerized workloads via ECSEKS

Build responsive UIs that consume backend AI services

Implement realtime streaming responses for chatstyle AI interfaces

Integrate authentication Amazon Cognito and rolebased access control

Architect solutions using core AWS services Bedrock SageMaker Lambda API Gateway S3 DynamoDB RDSAurora ECSEKS Step Functions

Set up CICD pipelines CodePipeline CodeBuild or GitHub Actions AWS deploy

Manage cost optimization for AI workloads token usage monitoring model routing caching strategies via ElastiCache