Principal AI Software Engineer/Architect

REQUIRED QUALIFICATIONS :

- Masters Degree in Electrical, Computer Science, Computer Engineering, Robotics or related field

- Advanced expertise in prompt engineering, model optimization, and deep understanding of AI system limitations and capabilities

- 10+ years of non-internship professional software development experience

- 12+ years of programming using JavaScript/TypeScript and multiple backend languages (Python preferred, Node.js, Java, or Go)

- 6+ years of experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management patterns

- Proven track record designing and shipping complex production applications that incorporate LLMs or AI services at enterprise scale (1M+ users)

- Demonstrated experience with agentic workflows and autonomous AI system architectures

- Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship

- Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS), orchestration, and infrastructure as code (GitOps)

- Strong background in system design, scalability, and performance optimization for high-traffic applications

PREFERRED QUALIFICATIONS :

- 18+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization

- Expert-level experience with vector databases (Pinecone, Weaviate, pgvector) and advanced embedding model optimization

- Deep expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks)

- Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale

- Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models

- Expert knowledge of AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale

- Extensive experience with agent architectures, autonomous AI systems, and cutting-edge agentic workflow implementations

- Background in machine learning research, AI safety, or advanced AI system design

- Experience with technical strategy development and technology roadmap planning

Technical Stack :

Languages :

- Python, TypeScript/JavaScript, SQL, Go/Rust (for performance-critical components)

Frontend :

- React/Next.js, Vue.js, Advanced CSS frameworks, Progressive Web Apps, Micro-frontends

Backend :

- Node.js/Express, FastAPI, PostgreSQL, Redis, MongoDB, Event-driven architectures, Microservices

AI/ML :

- OpenAI API, Anthropic Claude API, Advanced LangChain implementations, pgvector, Pinecone, Custom model deployments, Advanced agentic workflow frameworks

Infrastructure :

- Enterprise AWS/Azure services, Advanced Kubernetes, Service mesh, Infrastructure as Code, Multi-region deployments

Development Tools :

- GitHub Copilot, Advanced AI-assisted development environments, Custom tooling and automation

Monitoring :

- Enterprise observability platforms, Advanced LLM cost monitoring, Performance optimization tools, Custom analytics