AI Engineer

Job highlights

• You also have experience developing evaluation datasets for benchmarking model fit and task-specific performance,ensuring AI systems deliver reliable,high-quality result> .

• What matters most is strong real-world AI / ML experience

   In this role, youll experiment, architect and build solutions, mentor engineers, and shape AI strategy that drives learning outcomes and equity for all. >
  

What Youll Be Doing>

• You will Experiment, Architect Build AI solutions for learning at scale. You will Design, fine-tune deploy advanced LLMs (GPT, BERT, open-source models), MOE applications for diverse real-world Learning applications. >

• You will establish AI-driven decision intelligence frameworks to enhance organizational efficiency and impact. This includes implementing automated evaluation and A/B testing for prompts and model outputs, with quality measured through metrics and human-in-the-loop feedback.>

• You are committed to a careful, iterative, and data-driven approach for optimization, innovation, and continuous experimentation. You also have experience developing evaluation datasets for benchmarking model fit and task-specific performance, ensuring AI systems deliver reliable, high-quality result>

• Create prompt and chain flows using best practices build prompt templates, orchestration and tool/chain integrations.>

• Mentor junior engineers and guide them in AI best practices, experimentation, and rapid prototyping>

• Expose models and pipelines via clean, secure APIs (FastAPI/Flask) and work with infra/ops for deployment and monitoring.Write high-quality, well-tested production code (typing, pytest, packaging) and maintain good documentation.>

  What Were Looking For. >

• Expert-level programming in Python and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, RAG, vector search solutions).>

• LLM NLP expertise hands-on experience with GPT, BERT, vector databases, prompt engineering, and fine-tuning.>

• Strong MLOps and deployment experience model training, serving, monitoring, lifecycle management, and building production-grade AI systems at scale.>

• A strategic mindset with hands-on execution ability you can design architecture as well as roll up your sleeves and code.>

• You keep informed about developments in AI and take an active interest in emerging research and industry trends, and you understand the implications for our products competitiveness and performance.>

• Contributions to open-source AI projects or thought leadership in the AI community is a heavy plus :) >

       Years of experience: >
  

We are hiring at all levels, from engineers with 2+ years of experience to senior leadership/CTO. What matters most is strong real-world AI/ML experience. If you meet 60 percent of the technical requirements, enjoy learning (Bonus points if you had excellent Math scores