Applied AI Engineer

Requirements:

• 5-8 years of software engineering experience, including at least 2 years focused on AI/ML application development.
• Hands-on experience shipping LLM-powered applications to real users or stakeholders, including RAG pipelines, system-level prompt engineering, and agentic workflows.
• Production-level proficiency in Python and/or TypeScript for rapid prototyping.
• Experience with cloud AI platforms; AWS Bedrock is strongly preferred. SageMaker, Azure AI, or Anthropic Claude are also relevant.
• Working experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AWS Strands Agents, Claude Managed Agents, AWS AgentCore, or equivalent.
• Strong API integration skills, including REST, webhooks, MCP, or similar agent-to-service patterns.
• Ability to facilitate business discovery sessions and present proof-of-concept demos to non-technical stakeholders.
• Experience pairing with distributed teams to develop production-grade agentic AI systems.
• Ability to serve as the primary interface between lead AI solutions architects and business stakeholders.
• Strong English communication, executive presence, and disciplined asynchronous documentation.
• Bachelor's degree in computer science, software engineering, AI/ML, or a related field.
• Agile/Scrum experience.
• Ability to build RAG pipelines, API integrations, agentic workflow components, and prompt systems.
• Ability to write transition documentation and contribute to the client's AI and Automation Hub patterns library.