About Edolution :
At Edolution, we blend education with innovation. Our mission is to revolutionize learning using cutting-edge technology, human-centered design, and data-driven solutions. We build scalable programs that directly impact learners and educators across Overview :
We're looking for a proactive, critical thinking Full Stack Engineer who can design and implement end-to-end systemsleveraging modern AI tools for development, testing, deployment, and security. The ideal candidate should be comfortable working across the stack(React, FastAPI, vector databases), microservices, automating DevOps pipelines, and applying GenAI for QE and security workflows. The ideal candidate is an engineering graduate (or equivalent) who is passionate about building smart, scalable systems and excited to explore the fast-evolving landscape of AI technologies for Responsibilities :
- Design and develop AI-based solutions to solve real-world education challenges.
- Take full ownership of the engineering lifecycle from front-end and back-end development to DevOps, QA, and security considerations.
- Collaborate with cross-functional teams(tech, product, content) to identify opportunities for AI integration.
- Develop and integrate LLMs, agents, and RAG pipelines (e.g., LangChain, LlamaIndex)
- Build scalable backend systems (FastAPI / Node.js) and dynamic frontends (React / Next.js)
- Implement infrastructure as code and automate CI / CD pipelines using AI-augmented DevOps
- Use tools like GitHub Copilot, CodiumAI, or Testim for code and test generation
- Apply LLMs in QE : automate test case generation, regression checks, and bug triaging
- Perform secure development using AI-assisted static analysis and vulnerability Skills :
- 4- 5 years of experience
- Strong Coding abilities in both frontend (React.js, etc) and backend (Node.js, Python) programming language.
- Engineering degree or equivalent in Computer Science, AI, or a related field.
- Strong problem-solving ability, logical reasoning and debugging skills.
- Proficient in modern coding tools including Cursor AI, Claude Code, and similar platforms.
- Strong ability to identify, analyze, and resolve errors effectively.
- Experience or exposure to LLMs, RAG pipelines, Agent frameworks, Vector databases
- Understanding of code generation, prompt design, and data structuring.
- Curious mindset with a willingness to experiment and learn independently.
- Basic knowledge of Python, TensorFlow, or PyTorch is a plus.
- A portfolio of personal / academic AI projects or tools is an added Youll Gain :
- Hands-on experience in applying AI to real-world education problems.
- Mentorship and room to experiment, learn, and grow.
- An open, collaborative, and innovation-driven work environment.
- A chance to build something meaningful from the ground up.
(ref : hirist.tech)