Agentic AI Engineer

This role focuses on building sophisticated AI agents that can reason, plan, and execute complex tasks with minimal human intervention

As a Senior Agentic AI Engineer, you will design and implement intelligent agent systems using state-of-the-art frameworks and technologies. You'll work at the intersection of large language models, knowledge graphs, and distributed systems to create AI solutions that can autonomously handle complex workflows and decision-making processes.

Required Technical Skills

• Core AI/ML Frameworks**
• Expert-level proficiency with LangGraph for agent workflow orchestration
• Deep experience with LangChain for LLM application development
• Hands-on experience with Google Cloud AI services (Vertex AI, Gemini, PaLM)
• Strong understanding of prompt engineering and LLM optimization techniques
• Data & Storage**
• Proficiency with vector databases (Pinecone, Weaviate, Chroma, or similar)
• Experience with traditional databases (PostgreSQL, MongoDB)
• Knowledge of data ingestion frameworks and ETL pipelines
• Understanding of embedding models and semantic search optimization
• Python Development**
• Advanced Python programming skills with 10+ years of experience
• Expert-level FastAPI development for building scalable APIs
• Proficiency with async/await patterns and concurrent programming
• Experience with Python ML libraries (NumPy, Pandas, scikit-learn)
• Knowledge of testing frameworks (pytest, unittest) and CI/CD practices
• Cloud & Infrastructure**
• Hands-on experience with Google Cloud Platform (Google Cloud Platform)
• Proficiency with containerization (Docker) and orchestration (Kubernetes)
• Experience with cloud storage solutions and data pipelines
• Understanding of microservices architecture and distributed systems