Agentic AI Technical Mentor

Udacity

Contract type

Part-time

Work mode

100% remote

Experience

Senior · 5+ years

Job description

Provide personalized support in 1:1 video calls, addressing learner questions related to course content and projects
Review students' previous project submissions and/or specific areas of the Nanodegree content or project before calls
Lead virtual technical deep-dive sessions on Agentic AI concepts
Facilitate group Q&A sessions
Explain complex Agentic AI concepts clearly through instruction, demos, and learner support
Company mission
Udacity, part of Accenture, is on a mission of forging futures in tech through radical talent transformation in digital technologies, empowering people with the skills they need to secure the jobs they want

Core technologies

Python (Programming Language)

Flexibility to work part-time as an external contractor alongside current commitments
Opportunity to collaborate on meaningful challenges and make a difference

Proven technical expertise with 5+ years of experience in the relevant field
Passion for mentoring and helping others succeed in their learning
Excellent interpersonal skills and ability to foster a positive learning environment
Deep understanding of the tech industry and emerging trends in AI and related fields
Strong understanding of LLMs, prompt engineering, and agentic reasoning frameworks such as CoT and ReAct
Experience designing and implementing prompt chains, role-based prompts, feedback loops, and iterative prompt refinement
Hands-on experience building agentic workflows, including task routing, orchestration, sequential workflows, parallel workflows, and reflective AI workflows
Ability to design and implement AI agents with tool use, API integrations, structured outputs, memory, state management, and database interaction
Experience with RAG-based agent systems, including single-agent and multi-agent RAG implementations
Knowledge of AI agent evaluation, including testing, debugging, and improving agent performance
Understanding of multi-agent system design, including orchestration, routing, state coordination, and multi-agent architectures
LLMs, AI Agents, LangChain, OpenAI, Python (Programming Language)
Python (Programming Language)