Senior AI/Backend Engineer
TypeFull-time job
LocationColombia
Posted2 hours ago
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
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
Apply on Himalayas →
Job sourced from Himalayas. Applications happen directly on the original platform — we never collect your data.