NavGurukul is looking to leverage AI to make education, administration, and decision-making more efficient, impactful, and scalable. The AI Engineer will architect solutions, mentor engineers, and shape the AI strategy to drive the company forward, working on AI-driven learning platforms and exploring applications in process automation, decision intelligence, and user experience enhancements.
Requirements
- 5–8+ years of experience in applied AI/ML engineering, with a track record of leading impactful projects.
- Expert-level programming skills in Python and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain).
- LLM & NLP expertise – hands-on experience with GPT, BERT, vector databases, prompt engineering, and fine-tuning.
- Strong MLOps background – model training, serving, monitoring, and lifecycle management.
- Experience building production-grade AI systems deployed at scale.
- AI-driven analytics, automation, or intelligent search systems.
- Knowledge of Graph AI, Knowledge Graphs, or semantic search systems.
Responsibilities
- Architect & lead AI solutions for learning, operations, and automation at scale.
- Design, fine-tune & deploy advanced LLMs (GPT, BERT, open-source models) for diverse real-world applications.
- Build and scale AI-powered chatbots, assistants, and analytics systems for students and teams.
- Establish AI-driven decision intelligence frameworks for organizational efficiency and impact.
- Deploy & optimize models on AWS/GCP/Azure with a strong focus on scalability, reliability, and performance.
- Mentor junior engineers and guide them in AI best practices, experimentation, and rapid prototyping.
- Collaborate with leadership and stakeholders to align AI initiatives with organizational goals and long-term vision.
Other
- A strategic mindset with hands-on execution ability – you can design architecture as well as roll up your sleeves and code.
- A collaborative leader – able to mentor, guide, and influence technical decisions within the team.
- Purpose Over Pay – As a nonprofit, our salaries are significantly lower than corporate benchmarks (often 60–80% lower for senior members).
- Real-World Impact – AI that changes lives, enhances learning, and optimizes social impact systems.
- Leadership & Innovation – Shape AI strategy, mentor the next generation of engineers, and drive organizational AI adoption.
