Lead AI Developer

7+ 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 - 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 Pair programming experience Ability to task-switch rapidly Excellent communication skills Languages: Python, Go, TypeScript/Node.js, or similar backend languages 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

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 Architect data models for complex, stateful content management Make real-time technical decisions balancing performance, cost, and feature requirements Collaborate on system design and infrastructure decisions Integrate and optimize OpenAI GPT-4 and/or AWS Bedrock LLM APIs Design prompt architectures Implement context window management strategies Build API metering and cost tracking systems Develop versioning and state management systems for AI-generated content edits Build RESTful APIs and backend services on AWS infrastructure Integrate with existing client systems Implement authentication, authorization, and data security best practices Design database schemas and data persistence strategies Set up CI/CD pipelines, monitoring, and logging infrastructure Participate in daily pair programming sessions Lead technical discussions Deliver working software in sprints with client demos Task-switch efficiently Mentor junior developers and share knowledge