AI Developer - Mid Level

Developer Premium III

Position Summary

• Title: Developer Premium III
• Duration: Long Term
• Location: Washington, DC
• Schedule: Hybrid onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon

Job Requirements

Core Experience

• At least 6+ years of development experience with Python, React and other development tools

AI-First Engineering Mindset

• Able to decide when to use traditional code versus large language models or AI agents
• Designs for probabilistic AI behavior, fallback approaches, human review, and cost, latency, and reliability trade-offs

Generative AI Development

• Hands-on experience integrating large language models into production applications
• Prompt engineering, structured outputs, retrieval-augmented generation
• Embeddings/vector search, context management
• Evaluation for hallucination and response quality

Rapid AI Solution Development

• Comfortable with modern AI development platforms, APIs, and tooling
• Ability to rapidly prototype, iterate, and deploy working AI capabilities into real systems

Agentic AI

• Experience designing agents with goals and constraints
• Orchestration patterns, tool/API calling, state and memory management
• Guardrails, failure recovery, and behavioral monitoring

Full-Stack Engineering

• Backend experience with REST/GraphQL APIs, secure services, data models, asynchronous processing, and enterprise integrations
• Frontend experience with modern frameworks such as React
• AI-specific user experiences such as streaming responses, explainability, review/edit/retry/approve interactions

Cloud-Native Development

• Containers and managed services
• Continuous integration and deployment for AI components
• Secure secrets/key management
• Performance optimization and cost-aware AI design

Enterprise AI Reliability and Security

• Sensitive-data protection, data leakage risks
• Bias/safety/misuse considerations
• Auditability, traceability, and graceful degradation when AI fails

System Thinking

• Break ambiguous problems into components
• Build end-to-end systems rather than demos
• Balance rapid iteration with maintainability
• Think in architectures

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance