Senior AI/Backend Engineer

Nearshore Business Solutions; United States; À distance; USD 140 000 - 210 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Python

FastAPI

LLM Orchestration

AI/ML Concepts

AWS Services

Security Best Practices

Multi-agent Architecture

Team Collaboration

Outils

Strands SDK

OpenSearch Serverless

Titan Embeddings

Bedrock Services

Description du poste

Job Title: Senior AI/Backend Engineer

Location: Remote – Latin America Preferred (Must overlap with U.S. time zones)

Type of Contract: Full-Time | Remote

Salary Range: Market Rates

Language Requirements: Professional English proficiency

We are seeking a skilled Senior AI/Backend Engineer with deep expertise in Python, AI orchestration, and cloud-native backend systems to join our growing team. You will play a key role in developing a scalable, production-ready AI Voice Dispatch Assistant operating entirely within a secure AWS environment. Your work will directly impact the reliability, intelligence, and scalability of a multi-agent voice AI platform.

Key Responsibilities

• Design, implement, and maintain a multi-agent AI system using Strands Agents SDK (BidiAgent) deployed on AWS ECS/Fargate, ensuring per-session isolation, auto-scaling, and lifecycle management of Nova 2 Sonic BidirectionalStream.
• Develop and maintain high-performance backend services and APIs using FastAPI, including centralized API client libraries for Member Services, Dispatch, Coverage, and Eligibility workflows.
• Build robust backend features such as Pydantic-based data models, field-level PII masking, audit logging, and endpoint-level caching strategies.
• Implement LLM orchestration and Retrieval-Augmented Generation (RAG) pipelines, including triage super-agent routing using Nova Micro and specialized sub-agent delegation.
• Integrate AWS Bedrock Knowledge Bases, OpenSearch Serverless, and Titan embeddings to ground AI responses using technical documentation and domain-specific knowledge.
• Configure security, compliance, and content protection controls, including Bedrock Guardrails, AWS Cognito authentication, FastAPI JWT middleware, and Lambda-based authorization mechanisms.
• Develop and manage serverless infrastructure components including API Gateway, AWS Lambda handlers, DynamoDB session state management, and ElastiCache Redis integrations.

Must-Have Qualifications

• 5+ years of senior-level software engineering experience with a strong focus on Python development.
• Extensive experience building scalable, resilient backend systems and APIs, preferably using FastAPI.
• Strong hands-on expertise with AI/ML concepts, including LLM orchestration, prompt engineering, and Retrieval-Augmented Generation (RAG).
• Deep knowledge of AWS services including ECS/Fargate, Lambda, API Gateway, DynamoDB, ElastiCache, and AWS Bedrock services such as Nova 2 Sonic and Nova Micro.
• Experience with multi-agent AI architecture frameworks such as Strands Agents SDK or similar technologies.
• Solid understanding of authentication, security, and compliance best practices, including PII handling, prompt-injection protection, and access control systems.
• Ability to collaborate effectively across distributed teams while maintaining consistent overlap with U.S. business hours.

Preferred Qualifications

• Experience building production-grade voice AI or conversational AI systems.
• Familiarity with OpenSearch Serverless, Titan embeddings, and AWS-native RAG implementations.
• Experience designing secure, enterprise-grade AI solutions within controlled cloud environments.
• Background working with healthcare, dispatch, or operational workflow automation platforms.