Senior AI/Backend Engineer

Nearshore Business Solutions; Colombia; On-site; COP 214,492,546 - 285,990,061; Full time

Job summary

Nearshore Business Solutions is looking for a skilled Senior AI/Backend Engineer based in Colombia. This role involves designing and implementing scalable AI systems within a secure AWS environment and will significantly impact a multi-agent voice AI platform.

The ideal candidate should have over 5 years of experience in software engineering, strong expertise in Python development, and a solid understanding of AWS services like ECS/Fargate. Familiarity with AI/ML concepts is key for success in this role.

Qualifications

• 5+ years of senior-level software engineering experience in Python.
• Experience in scalable backend systems and APIs, preferably with FastAPI.
• Strong expertise in AI/ML, LLM orchestration, and RAG.

Responsibilities

• Design and maintain multi-agent AI systems on AWS ECS/Fargate.
• Develop high-performance backend services with FastAPI.
• Implement LLM orchestration and RAG pipelines.

Skills

Python development

Backend systems

AI/ML concepts

FastAPI

AWS services

Multi-agent AI architecture

Security best practices

Job description

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

• 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.