Claude AI Engineer Technical Mentor (India)

Claude AI Engineer Technical Mentor (India)

07 Aug
|
Udacity
|
India

07 Aug

Udacity

India

You ll be an excellent fit if you have:

- Proven technical expertise with 5+ years of experience in the relevant field
- A passion for mentoring and helping others succeed in their learning
- Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning setting
- A deep understanding of the tech industry and emerging trends in AI and related fields
- The flexibility to work part-time as an external contractor alongside your current commitments

Mandatory Technical Skills Claude AI Engineer

- Anthropic Claude Ecosystem: Claude API, Claude Code, Claude Agent SDK, Model Context Protocol (MCP)
- Agentic AI Development: AI Agents, Multi-Agent Systems, Agent Orchestration, Tool Calling Workflow Design
- Prompt Context Engineering: Prompt Engineering, Context Engineering, Structured Outputs (JSON Schema), AI Validation
- Programming APIs: Python (required), REST APIs, JSON, Bash/Shell Scripting
- Software Engineering Architecture: System Design, Solution Architecture, API Design, Code Review, Design Patterns
- Data Production AI Systems: SQL, Data Extraction, Error Handling, State Management, Human-in-the-Loop Workflows
- DevOps CI/CD: Git, GitHub, CI/CD Pipelines, Automated Testing, MCP Server Integration

Exposure to real-world data projects (analytics, engineering, or architecture)

Responsibilities:

Your responsibilities as a technical mentor will be divided into three major tasks.

1. 1:1 video calls
2. Virtual Technical Deep-Dive Sessions
3. Group QA sessions

Personal 1:1 Session:

- Provide personalized support by addressing learner questions related to course content and projects.
- Prior to the call mentors are expected to review the students previous project submission(s)



- provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.

Technical Deep-Dive Session:

- For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a QA session with the learners.
- For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor grading a sample submission to demonstrate what mentors are looking for when reviewing projects.

Group QA Session:

- Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

Why should you apply

- Make an impact by mentoring and contributing to a vibrant, global learning community
- Showcase your expertise and gain recognition for your technical knowledge
- Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
- Earn additional income with the flexibility to work on your own schedule

Mentoring at Udacity offers a unique opportunity to make a significant impact on the lives of learners and to contribute to achieving our mission.

If youre passionate about learning, technology and want to make a positive impact, we encourage you to apply to become a mentor at Udacity part of Accenture.

Lets work together to shape the future of tech education!

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Claude AI Engineer Technical Mentor (India)
🏢 Udacity
📍 India

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