Key skills
AWSCloudDistributed SystemsDockerDynamoDBGraphQLJavaScriptNode.jsPostgresPythonReactRedisTerraformTypeScriptGoAILLMOpenAIAnthropicRAGLangChainUnit TestingIntegration TestingECSCloudFormationLambdaS3RDSCloudWatchBedrockAPI GatewayPostgreSQLRESTfulAgileScrumCI/CDMentoringCommunicationCollaboration
About this role
Role Overview
- Design and implement scalable backend architecture for AI-assisted content generation workflows
- Build and optimize LLM integration layers with focus on prompt engineering, context management, and token efficiency
- Collaborate with Technical Principal on system design and infrastructure decisions
- Integrate and optimize OpenAI GPT-4 and/or AWS Bedrock LLM APIs for content generation
- Design prompt architectures that handle complex branching logic and narrative coherence
- Build API metering and cost tracking systems to monitor token consumption and optimize unit economics
- Develop versioning and state management systems for AI-generated content edits
- Build RESTful APIs and backend services on AWS infrastructure
- Implement authentication, authorization, and data security best practices
- Design database schemas and data persistence strategies for complex content structures
- Set up CI/CD pipelines, monitoring, and logging infrastructure
- Participate in daily pair programming sessions with other developers and designers
- Lead technical discussions in daily standups, sprint planning, and retrospectives
- Mentor junior developers and share knowledge with the broader team
Requirements
- 8+ years of software engineering experience building production web applications
- Deep expertise in AI/LLM development
- hands-on experience building applications with OpenAI, Anthropic, or AWS Bedrock APIs
- Proven experience with prompt engineering, context window management, RAG systems, and AI cost optimization
- Strong backend development skills – Python, API design, database architecture, distributed systems
- Deep expertise in designing and building systems on AWS
- Lambda, ECS, RDS, S3, CloudWatch, etc.
- Experience with Agile/Scrum methodologies and iterative development practices
- Pair programming experience
- comfortable working synchronously with other developers
- Ability to task-switch rapidly and reprioritize in fast-moving, high-stakes environments
- Excellent English communication skills
- Languages: Python, React, Go, TypeScript/Node.js
- AI/LLM: OpenAI API, AWS Bedrock, LangChain, semantic search, vector databases
- Cloud: AWS services (Lambda, ECS, RDS, DynamoDB, S3, API Gateway, CloudWatch)
- Infrastructure: Terraform or CloudFormation, Docker, CI/CD pipelines
- Databases: PostgreSQL, DynamoDB, Redis, or similar
- APIs: RESTful design, GraphQL, WebSocket connections
- Testing: Unit testing, integration testing, test automation frameworks
Tech Stack
- AWS
- Cloud
- Distributed Systems
- Docker
- DynamoDB
- GraphQL
- JavaScript
- Node.js
- Postgres
- Python
- React
- Redis
- Terraform
- TypeScript
- Go
Benefits
- A stable, long-term contract with opportunities for professional growth
- Private health insurance
- A remote culture that promotes work-life balance
- Ongoing training, mentoring, and learning programs to keep you at the forefront of the industry
- Free access to AI training resources and cutting-edge AI tools to enhance your daily work
- A flexible paid time off (PTO) policy and paid holidays
- Challenging, world-class software projects for clients in the U.S. and Latin America
- Collaboration with some of the most talented software engineers in Latin America and the U.S., in a diverse work environment