AI Application Engineer
Bangalore (In-office position)
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About e-GMAT
About e-GMAT
e-GMAT has been the world’s most successful GMAT Prep company. We owe our success to the combination of technology and learning methodology. Now, we are on a mission to revolutionize how humans learn, by developing AI systems that understand each student's unique needs, adapt in real-time, and provide the personalized guidance of a dedicated tutor.
Position Overview
Position Overview
This is a chance to integrate AI into Learning to solve Bloom's two sigma problem. As an AI Application Engineer (Level 1), you'll be the technical craftsperson who builds intelligent workflows that transform how students learn and engage with our educational content.
Key Responsibilities
Key Responsibilities
01. LLM Implementation:
- Develop and optimize prompts using advanced techniques (Chain of Thought, few-shot learning) for our LLM-powered educational tools
- Implement and refine agent-based systems using frameworks like Langchain, N8N, or Make.com
02. Workflow Design & Development:
- Translate business requirements from Subject Matter Experts into effective AI-powered workflows
- Use information mapping tools to visualize and document complex systems and processes
03. Testing & Quality Assurance:
- Implement comprehensive testing methodologies for AI systems
- Develop evaluation metrics to measure AI system performance and identify areas for improvement
04. LLM Selection & Optimization:
- Evaluate different LLM models (Claude 3.7, GPT 4.1, Gemini, etc.) to select the best fit for specific use cases
- Optimize model performance while balancing accuracy, speed, and cost considerations
05. Hallucination Prevention:
- Implement techniques to reduce AI hallucinations and improve factual reliability
- Build robust feedback loops to continuously improve system accuracy
Qualifications
Qualifications
Note, you do not need an engineering or even an undergrad degree for this role. You're perfect for this role if:
- You have experience with LLM prompting techniques and understand how to get the best results from language models
- You're comfortable working with agentic frameworks and can implement AI workflows efficiently, solving problems along the way.
- You have strong skills in information mapping and can translate complex processes into clear visualizations
- You demonstrate a passion for educational technology and how AI can transform learning
- You have the ability to extract domain knowledge from experts and translate it into technical solutions
What You'll Get
What You'll Get
- Competitive base salary of
₹10-14 lakhs with performance bonus potential up to 50% of base salary - Work at the cutting edge of AI and education technology
- Collaborate with a team passionate about solving meaningful problems in education
- Opportunities for rapid growth and advancement in an expanding field
- Contribute directly to solving one of education's biggest challenges - personalizing learning at scale
Selection Process
Selection Process
Our selection process is strictly merit-based – we're looking for talent that shines through our evaluations. Prove to us that you are a problem solver and an innovator who can build AI solutions that transform Learning.