Senior AI/Backend Engineer
Nearshore Business Solutions
- AI-Backend-Engineer
- AWS-Cloud-Engineer
- Backend-Engineer
- Data Science
- Machine-Learning-Engineer
- Python-Engineer
- Senior-AI-Backend-Developer
- Senior-AI-Engineer
- Senior-AI-Software-Engineer
- Senior-Backend-Developer-(Artificial-Intelligence)
- Senior-Machine-Learning-Backend-Engineer
Assessed from original listing evidence
The role
Job description
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.
Originally posted on Himalayas
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