AI/ML Full Stack Engineer

Required

• Deep expertise with LLMs, agentic frameworks, vector databases, semantic search, and RAG pipelines.
• Solid understanding of GenAI concepts including tool invocation, guardrails, memory, and multi-agent orchestration.
• Strong, daily hands-on experience with AI coding agents such as Claude Code, OpenAI Codex/ChatGPT, Cursor, or equivalent — using them not just as autocomplete but as active development collaborators to accelerate prototyping and production delivery.
• Full-Stack Engineering:
• Strong frontend skills: component-driven development using React, Next.js, or Angular; proficiency in TypeScript/JavaScript.
• Ability to build clean, intuitive UIs that make complex AI outputs accessible and actionable.
• Solid backend experience: Python for AI/data workloads; Node.js, Java, or Go for services and APIs.
• Familiarity with relational and non-relational databases: PostgreSQL, MySQL, MongoDB, DynamoDB.
• Cloud & Infrastructure:
• Advanced experience designing and deploying cloud-native architectures on AWS, Azure, or GCP.
• 3 years of professional software development experience
• Hands-on experience with at least one major agentic AI framework (e.g.: LangGraph, CrewAI, Google ADK, or similar)