Applied AI Engineer

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