Highlights
Flexible schedule, remote work, opportunity to convert to full-time after 3 months.
Description
Job Summary
pWe are seeking a talented AI/ML + Backend Engineer to join our dynamic team. As an AI/ML engineer, you will design and implement intelligent systems that enhance personalized learning experiences at scale.
Responsibilities
- Develop and maintain production-grade LLM pipelines for educational applications
- Implement RAG (Retrieval-Augmented Generation) systems with dynamic k selection and confidence-score gating
- Create context assembly layers to improve retrieval efficiency and accuracy
- Fine-tune models on domain-specific datasets to ensure pedagogical correctness
- Log all generation runs for full auditability
Required Skills
- Python programming with a focus on clean, modular code
- Experience with LLM APIs and prompt engineering
- Knowledge of RAG foundations including vector embeddings and retrieval pipelines
- Proficiency in GCP services such as Vertex AI and BigQuery
- Ability to optimize cost and performance for large language models
Required Skills Explained
- Python programming: Proficiency with Python, particularly for building production systems and clean code.
- RAG (Retrieval-Augmented Generation) systems: Understanding of vector embeddings, retrieval pipelines, and fine-tuning embedding models.
- LLM APIs and prompt engineering: Experience with APIs like Claude, Gemini, and understanding how to optimize prompts for structured outputs and cost efficiency.
- Multi-agent systems: Knowledge in orchestrating multiple agents for complex tasks.
- Cloud infrastructure: Hands-on experience with GCP services such as Vertex AI, Cloud Run, and BigQuery.
- Backend development: Skills in using FastAPI and async Python for efficient backend development.
Who is this for
pThis role is ideal for a highly skilled backend engineer with experience in developing production systems. You should have a passion for education technology and be committed to delivering impactful solutions that can significantly improve student outcomes.
Why This Job is a Good Opportunity
ulliCritical role in education technology: Your work directly impacts student learning experiences, making a tangible difference in their educational journey.liInnovative environment: Work on cutting-edge projects that push the boundaries of AI and machine learning in personalized learning solutions.liRemote flexibility: Enjoy the freedom of remote working with no travel required.liCompetitive salary range: Get compensated fairly within a competitive salary bracket of ₹25,000 to ₹50,000 per month.liGrowth potential: Option to convert to full-time after three months based on performance.
Interview Preparation Tips
- Review RAG systems and their components thoroughly: Understand vector embeddings, retrieval pipelines, and how they integrate with LLMs.
- Practice Python coding challenges: Ensure you can write clean, modular code that is production-ready.
- Familiarize yourself with GCP services: Be prepared to discuss hands-on experience with Vertex AI, Cloud Run, and BigQuery.
- Study fine-tuning techniques: Understand LoRA, QLoRA, and full fine-tuning processes for open-source models.
- Prompt engineering: Know how to optimize prompts for cost efficiency and structured outputs.
Career Growth in This Role
pThe role of an AI/ML + Backend Engineer offers significant opportunities for career growth. As you build and refine production systems, you'll gain expertise in RAG systems, multi-agent orchestration, and cloud infrastructure. Your contributions can lead to advancements in the field, and with proven performance, there's a high chance of transitioning to full-time status after three months. Additionally, your work will have a direct impact on student learning experiences, making this role not just professionally rewarding but personally fulfilling as well.
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Skills
Frequently Asked Questions
What kind of projects will I be working on?You'll work on developing RAG (Retrieval-Augmented Generation) pipelines, fine-tuning LLM models, and building context assembly layers.
Is this role full-time or part-time?This is a remote position with the option to convert to full-time after 3 months based on performance.
What kind of training data will I be working with?You'll be working with educational simulations, domain-specific content, and student learning history to train models accurately.
