AI Engineer / Generative AI Developer

About Us:

Open Solutions for Education is a software product and solutions company focused on building technology platforms for the education sector.

Our flagship ERP product, openSIS, is a comprehensive Student Information & Campus Management System used by educational institutions worldwide.

As part of our product expansion, we are building next-generation AI-powered solutions and are looking for a talented AI Engineer / Generative AI Developer to join our engineering team.

Role Overview:

We are looking for an engineer who can design, develop, and deploy production-grade AI solutions and integrate intelligent systems into enterprise software products.

The ideal candidate should have strong hands-on experience in LLMs, machine learning, backend engineering, and modern AI infrastructure, with the ability to build scalable AI applications from concept to deployment.

Required Skills & Knowledge: Generative AI / LLMs

Strong understanding of:

• OpenAI API / LLM integrations
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Embeddings & Semantic Search
• Vector Databases (Pinecone / Weaviate / Milvus / Chroma)
• Function Calling / Tool Use
• Multi-Agent Systems / Agentic AI
• Fine-tuning / Model Optimization
• AI Evaluation & Guardrails

Machine Learning / NLP

Experience in:

• Natural Language Processing
• Predictive Modeling
• Recommendation Systems
• Classification / Ranking Models
• Data Processing & Model Training

Backend Engineering

Strong skills in:

• Python
• FastAPI / Flask / Django
• REST APIs & Microservices
• Database Design
• Docker / CI-CD Pipelines
• Cloud Deployment (Amazon Web Services / Microsoft Azure / Google Cloud)

Nice to Have

• Experience with SaaS / ERP products
• Knowledge of AI security & compliance
• Frontend understanding (Angular / React)
• Experience scaling AI systems in production

Experience:

• 1–3+ years in AI / ML / Generative AI
• Experience building real-world AI applications
• Strong portfolio / GitHub / case studies preferred

Salary:

• 2–5LPA, depending upon the experience, skills, and knowledge

Who Should Apply

If you are passionate about building real AI products (not demos), enjoy solving engineering challenges, and want to work on scalable software used by institutions globally, we would like to hear from you.

Apply directly through LinkedIn.