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NxtWave
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Hyderabad · On-site · 1-3 Yrs · Oct 31
6 views
2 open roles0 posted in 7d2 in 30d
Hiring: Engineering
Job description
Overview
This role sits where GenAI engineering meets learning content.
Responsibilities
- Design, develop, and maintain curriculum, learning modules, and assessments for Generative AI programs through Agentic Workflows.
- Create engaging learning content, including lesson plans, presentations, assignments, projects, coding exercises, and quizzes.
- Own the quality bar: design the eval sets, rubrics, and guardrails that decide what's good enough to ship, and author enough content yourself to keep that judgment sharp.
- Keep content accurate and current: catch outdated Gen AI concepts, deprecated libraries, wrong syntax, or broken code examples within a week of discovery, and fix them within SLA.
- Contribute to curriculum R& D: experiment with new tools and frameworks, and proactively flag what's worth adding or retiring, with at least one R& D-driven update or recommendation each quarter.
- Build the foundations that keep the pipeline running and improving on its own: memory, knowledge bases, integrations, observability, and clearing the issues that stall generation or loading.
Qualifications
- 1-2 years building software or AI/automation systems, with at least one deployed, evaluated agentic workflow or LLM-integrated app you can show us (GitHub or live demo, not a tutorial follow-along).
- SME-level working knowledge of GenAI (prompt design, RAG, vector databases, hosted LLM APIs), plus the content ability to judge, produce, and correct technically accurate learning material.
- MERN + Python, enough to build the surfaces your agents plug into and write your own logic and integrations.
- Hands-on with an agent/automation framework (n8n, LangGraph, LangChain, CrewAI, or equivalent), including multi-step, tool-calling workflows.
- An evaluation instinct: you build the rubric before you trust the output, and treat an unmeasured agent as unfinished.
- A feel for where things break, from hallucination and prompt injection to cost at scale and latency, and how to guard against it.
- You use AI tools (Claude, Cursor, ChatGPT, Copilot) as a real part of how you build, every day.
- You write clearly: precise, structured, easy to follow.
Nice to have
- EdTech, assessment, or structured-content experience.
- Observability and eval tooling (LangSmith, RAGAS, or similar), and CI/CD for content pipelines.
- A public trail of how you learn: a thoughtful README, a walkthrough, a blog post, an open-source contribution.
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Job application FAQ
Last updated 5 November 2026
- How do I apply for Gen AI Curriculum and Systems Engineer at NxtWave?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. NxtWave may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Gen AI Curriculum and Systems Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Gen AI Curriculum and Systems Engineer remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Gen AI Curriculum and Systems Engineer role at NxtWave?
- This is a mid-level Gen AI Curriculum and Systems Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.