As an AI Engineer, you will design and build next-generation AI applications that leverage agentic workflows, large language models, and enterprise knowledge systems. You will work across the full software lifecycle, from architecture and backend development to deployment, evaluation, monitoring, and optimization.
The ideal candidate is excited about the potential of AI while maintaining strong engineering judgment, carefully balancing reliability, security, performance, operational complexity, cost, and business value.
Core Technical Areas
Agent Architectures & Multi-Agent Systems
- Agent orchestration frameworks such as Google ADK, LangChain, LangGraph, DeepAgents, AutoGen, CrewAI, or similar
- Planning and reasoning workflows
- Tool integration and function calling
- State and memory management
- Human-in-the-loop review processes
- Error handling and recovery mechanisms
LLMs & Generative AI
- Transformer fundamentals and attention mechanisms
- Prompt engineering and structured outputs
- Context management and token optimization
- Fine-tuning and model customization
- Working with both commercial and open-source models
RAG & Knowledge Systems
- Semantic and hybrid search
- Document ingestion and processing pipelines
- Embeddings and retrieval strategies
- Reranking techniques
- Vector databases such as Pinecone, Qdrant, Weaviate, pgvector, or Vertex AI Vector Search
- Knowledge access controls and source citation capabilities
Backend & Cloud Engineering
- Python, FastAPI, and asynchronous programming
- REST and streaming APIs
- Event-driven and microservice architectures
- Docker and cloud deployment
- Security, monitoring, and observability
AI-Augmented Development
- Development acceleration using tools such as Cursor, GitHub Copilot, Claude Code, or similar
- Frontend development using React, Next.js, and TypeScript
Evaluation & Reliability
- Agent evaluation and testing
- Observability and tracing
- Prompt security and guardrails
- Latency, quality, and cost monitoring
- Tools such as LangSmith, Phoenix, OpenTelemetry, and cloud-native monitoring platforms