Senior AI/Backend Engineer – Remote (LATAM Preferred)

Nearshore Business Solutions

United States

Remote

USD 140,000 - 210,000

Full time

13 hours ago
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Job summary

Nearshore Business Solutions seeks a Senior AI/Backend Engineer to design and operate a scalable multi-agent AI system in a secure AWS environment. You will build high-performance FastAPI services, orchestrate LLM workflows, and integrate Bedrock, OpenSearch, and Titan embeddings to ground AI responses.

The role requires strong Python/AI expertise, collaboration across distributed teams, and overlap with U.S. business hours. Remote work from LATAM is preferred with market-rate compensation.

Qualifications

  • 5+ years of senior software engineering with Python.
  • Experience building scalable backend systems and APIs (FastAPI preferred).
  • Strong expertise in AI/ML concepts including LLM orchestration and RAG.

Responsibilities

  • Design, implement, and maintain a multi-agent AI system on AWS ECS/Fargate.
  • Develop backend services and APIs using FastAPI for Member Services, Dispatch, Coverage, and Eligibility.
  • Implement security, logging, and caching strategies across services.
  • Configure serverless infrastructure including API Gateway, Lambda, and DynamoDB sessions.
  • Integrate Bedrock Knowledge Bases and Titan embeddings to ground AI responses.

Skills

Python
FastAPI
LLM Orchestration
AI/ML Concepts
AWS Services
Security Best Practices
Multi-agent Architecture
Team Collaboration

Tools

Strands SDK
OpenSearch Serverless
Titan Embeddings
Bedrock Services

Job description

Nearshore Business Solutions seeks a Senior AI/Backend Engineer to design and operate a scalable multi-agent AI system in a secure AWS environment. You will build high-performance FastAPI services, orchestrate LLM workflows, and integrate Bedrock, OpenSearch, and Titan embeddings to ground AI responses.

The role requires strong Python/AI expertise, collaboration across distributed teams, and overlap with U.S. business hours. Remote work from LATAM is preferred with market-rate compensation.

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