AI & Python Course Instructor at Neuronetwrk AI ED · Pune · 3 - 8 years · ₹10L - ₹15L / yr · Posted 30 Oct 2026

NeuroNetworks AI Ed is an Indian AI and technology education company. Our flagship Neuromind AI Creator Program is a 1-year, 104-lecture course for students after Class 10 and college tech students. Every student watches the same recorded lectures; hands-on practicals run in our own browser-based lab.
The role: you will be the instructor students see and hear in every lecture. You will write the lecture scripts and record ~40-minute lectures (concept explanations + live coding) for the whole program, from a detailed syllabus set by our Course Architect.
Topics: AI foundations; Python (data structures, OOP, Pydantic, HTTP, exceptions, files); Git and AI coding tools; prompting and LLM APIs; React, FastAPI, PostgreSQL basics; Linux and Docker; local models and RAG; MCP; workflow automation; AI agents (LangChain, LangGraph, CrewAI, Claude Agent SDK); monitoring; AI security and governance.
Must have: minimum 3 years (4+ preferred) teaching through pre-recorded video lectures (Udemy, YouTube, edtech or corporate training); fluent spoken and written English; strong hands-on Python; working knowledge of Generative AI (LLM APIs, prompting, RAG, agents); you write your own lecture scripts; full-time from our Pune office; able to join within 14 days of an offer.
Good to have: React/FastAPI/PostgreSQL projects; Linux, Docker, Git; MCP or agent frameworks; PCEP or AWS Certified AI Practitioner; experience teaching beginners; ability to make simple slides.
How to apply: apply here on Cutshort. In your application, include links to 2-3 sample recorded lectures you created, your notice period and expected CTC. Applications without sample lecture links will not be considered.

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FACE Prep is India’s leading employability and industry-aligned education company. For over 17 years, we have partnered with higher education institutions to bridge the gap between academia and industry.
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Location: Coimbatore
Duration: Full-Time
Department: Training & Development
Experience: Minimum 2 Years
Role Description :
The Data Science Subject Matter Expert (SME) is a full-time, on-site role based in Coimbatore. The SME will design and deliver data science curricula, including lectures, hands-on labs, and project-based learning for students preparing for tech careers. Daily responsibilities include creating educational content, developing problem sets and case studies, mentoring learners on data analysis and model-building, and reviewing student work to provide constructive feedback. The SME will collaborate with other trainers and the product team to align content with current industry practices and hiring requirements. The role also involves analyzing learner performance data, refining teaching strategies, and occasionally contributing to workshops, bootcamps, and online learning materials.
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IMMEDIATE JOINERS REQUIRED
Dear Candidate,
We have an immediate opening with Mphasis for Senior Full Stack Engineer (Python AI).
📍 Location: Hyderabad / Bangalore
💼 Experience: 5+ Years
🏢 Employment: Permanent
⚡ Immediate Joiners Preferred
Mandatory Skills:
- Python
- Java + Spring Boot
- React.js
- MongoDB
GenAI

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- Design and deliver instructor-led, virtual, and blended learning programs on Generative AI, Agentic AI, Large Language Models (LLMs), AI Engineering, Data Science, and enterprise AI platforms such as Microsoft Copilot, Copilot Studio, and Azure AI Foundry.
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- Master’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Analytics, or a related discipline
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Employment Type: Full-time
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- Retrieval-Augmented Generation (RAG)
- LangChain / LangGraph
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• Develop role-based curricula, learning journeys, certification pathways, and capability frameworks aligned to emerging AI technologies and business needs.
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• Track learning effectiveness, adoption, business impact, and ROI using learner feedback, usage analytics, and performance metrics.
• Develop reusable prompts, agent templates, AI accelerators, and knowledge assets to support scalable learning initiatives.
• Leverage digital learning technologies, AI-powered learning platforms, and modern instructional methodologies to enhance learner engagement.
• Stay abreast of advancements in GenAI, Agentic AI, AI governance, Responsible AI, automation, and emerging technologies and continuously integrate them into learning programs.
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• Master’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Analytics, or a related discipline
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• Working knowledge of LLM ecosystems, Retrieval-Augmented Generation (RAG), AI agents, automation frameworks, and enterprise AI applications.
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• Familiarity with company's platforms and decision-centric analytics approach.
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About Us
We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.
Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.
We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.
Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk.
Our Guiding Principles
These principles define how we work at Incubyte. They are non-negotiable.
Relentless Pursuit of Quality with Pragmatism
We build high-quality systems without losing sight of delivery.
Extreme Ownership
We take responsibility end-to-end for decisions, execution, and outcomes.
Proactive Collaboration
We collaborate closely, challenge each other, and solve problems together.
Active Pursuit of Mastery
We continuously improve our craft and raise our bar.
Invite, Give, and Act on Feedback
We seek, give, and act on feedback to get better every day.
Ensuring Client Success
We act as trusted partners and focus on real outcomes, not just output.
Job Description
This is a remote position.
Experience Level
This role is ideal for engineers with total 5+ years of experience with a proven track record of shipping complex projects successfully.
An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.
What You’ll Do as a Software Craftsperson
- Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, continuous refactoring, and pair programming
- Operate in an AI-native development model, using AI as a collaborator to explore architecture and design, accelerate development, and continuously improve systems while applying strong judgment to ensure that speed never compromises quality.
- Take end-to-end ownership of outcomes from problem understanding and system design to implementation, deployment, and operation in production
- Make thoughtful design decisions that balance simplicity, scalability, and long-term maintainability in real-world systems
- Maintain a high bar for engineering quality through rigorous testing, code reviews, and continuous feedback
- Investigate and resolve production issues, and implement systemic improvements to prevent recurrence
- Work directly with clients, navigate ambiguity, and translate business problems into well-designed technical solutions
- Contribute to improving team practices, tooling, and systems to raise the overall quality and effectiveness of engineering
Requirements
What You’ll Bring
- 5+ years of experience building high-quality, production systems (flexible based on demonstrated capability)
- Strong fundamentals in software engineering, including object-oriented design, system design, and testing practices such as TDD
- Demonstrated ability to build simple, maintainable, and scalable systems with a focus on long-term reliability
- Proficiency in one or more modern technologies Python, React, AI, JavaScript, or TypeScript, with the ability to learn new technologies quickly
- Deep experience working with Git in collaborative environments, including managing shared codebases, conducting code reviews, and maintaining a high bar for quality
- Ability to operate effectively in an AI-native workflow using AI as a collaborator to explore solutions and accelerate development, while applying strong judgment to ensure correctness, quality, and maintainability
- Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions
- A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards.
Benefits
Life at Incubyte
We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.
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Benefits
- Dedicated learning & development budget.
- Sponsorship for conference talks.
- Comprehensive medical & term insurance.
- Employee-friendly leave policies.
- Home Office fund
- Medical Insurance
🚀 Hiring: Python + Gen AI Developer
📍 Location: Bengaluru
💼 Experience: 4–6 Years
Mandatory Skills:
✅ Python
✅ Generative AI / Gen AI
✅ LLMs / AI Application Development
✅ Python Backend / API Development
Role:
Looking for a skilled Python + Gen AI Developer with hands-on experience in developing Python-based applications and integrating Generative AI/LLM solutions.
🔹 Develop scalable Python applications
🔹 Build and integrate Gen AI/LLM solutions
🔹 Develop APIs and backend services
🔹 Collaborate with cross-functional teams
🔹 Troubleshoot and optimize applications
📩 Interested candidates can share their updated resume.
#Hiring #PythonDeveloper #GenAI #GenerativeAI #LLM #AIJobs #BengaluruJobs #TechHiring #ITJobs
Strong AI Engineer / Machine Learning Engineer profiles.
2
Mandatory (Experience 1) – Must have minimum 3+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.
3
Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.
4
Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.
5
Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.
6
Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.
7
Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.
8
Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.
Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.
About Us
We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.
Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.
We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.
Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk.
Our Guiding Principles
These principles define how we work at Incubyte. They are non-negotiable.
Relentless Pursuit of Quality with Pragmatism
We build high-quality systems without losing sight of delivery.
Extreme Ownership
We take responsibility end-to-end for decisions, execution, and outcomes.
Proactive Collaboration
We collaborate closely, challenge each other, and solve problems together.
Active Pursuit of Mastery
We continuously improve our craft and raise our bar.
Invite, Give, and Act on Feedback
We seek, give, and act on feedback to get better every day.
Ensuring Client Success
We act as trusted partners and focus on real outcomes, not just output.
Experience Level
This role is ideal for engineers with total 3+ years of experience with a proven track record of shipping complex projects successfully.
An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.
What You’ll Do as a Software Craftsperson
- Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, continuous refactoring, and pair programming
- Operate in an AI-native development model, using AI as a collaborator to explore architecture and design, accelerate development, and continuously improve systems while applying strong judgment to ensure that speed never compromises quality
- Take end-to-end ownership of outcomes from problem understanding and system design to implementation, deployment, and operation in production
- Make thoughtful design decisions that balance simplicity, scalability, and long-term maintainability in real-world systems
- Maintain a high bar for engineering quality through rigorous testing, code reviews, and continuous feedback
- Investigate and resolve production issues, and implement systemic improvements to prevent recurrence
- Work directly with clients, navigate ambiguity, and translate business problems into well-designed technical solutions
- Contribute to improving team practices, tooling, and systems to raise the overall quality and effectiveness of engineering
Requirements
What You’ll Bring
- 3+ years of experience building high-quality, production systems (flexible based on demonstrated capability)
- Strong fundamentals in software engineering, including object-oriented design, system design, and testing practices such as TDD
- Demonstrated ability to build simple, maintainable, and scalable systems with a focus on long-term reliability
- Proficiency in one or more modern technologies, Python, PHP, JavaScript, or TypeScript, with the ability to learn new technologies quickly
- Deep experience working with Git in collaborative environments, including managing shared codebases, conducting code reviews, and maintaining a high bar for quality
- Ability to operate effectively in an AI-native workflow using AI as a collaborator to explore solutions and accelerate development, while applying strong judgment to ensure correctness, quality, and maintainability
- Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions
- A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards.
Benefits
Life at Incubyte
We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.
Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.
Perks
- Dedicated learning & development budget.
- Sponsorship for conference talks.
- Comprehensive medical & term insurance.
- Employee-friendly leave policies.
- Home Office fund
- Medical Insurance









