AI Engineer

About

We are an EdTech company working on AI-powered tutoring platform focused on entrepreneurship for teens and college students. Through our collaboration with a US-based private school, we gain deeper insights into learner needs while expanding the reach of our B2C and B2B offerings to a broader audience.

We have well-defined processes, automation of routine things, conduct code reviews, use CI and CD pipelines to validate and ship our code. We use the Agile approach with daily stand-ups, bi-weekly sprints, and other artifacts. But don't be afraid, we keep the number of meetings to the minimum so that engineers can focus on writing high-quality code and delivering another cool feature.

Who you are

You are a proactive problem-solver with a passion for building elegant, scalable solutions. You thrive in fast-paced startup environments where agility, adaptability, and a strong understanding of business needs, are a key to success.

You’re not just an engineer, you’re a collaborator who enjoy working closely with Business-minded stakeholders, Quality Assurance specialists, and fellow engineers to create seamless user experiences. Here’s how you’ll know you’ll fit right in:

• Self-Driven: you’re not afraid to suggest new ideas or challenge the status quo, and when you see something that needs fixing, you roll up your sleeves and get it done;
• Adaptable: you thrive in a fast-paced environment, embracing change and challenges with curiosity and an open mind;
• Detail-Oriented but Pragmatic: you care about building high-quality, functional solutions but also know when to prioritize speed and simplicity to deliver;
• Resilient: mistakes happen, and that’s okay. What matters is how you respond. You view setbacks as learning opportunities and take feedback with a growth-oriented mindset, bouncing back stronger every time;

• Collaborative: you thrive on collaboration, value open communication, and give and receive feedback respectfully, fostering trust and a positive work environment.

   

Requirements

• Proficiency in Python and modern AI/ML frameworks such as LangChain;
• Familiarity with full AI/ML lifecycle: data preprocessing, training, evaluation, monitoring;
• Deep understanding of LLMs, prompt engineering, and fine-tuning techniques;
• Experience designing and deploying agentic workflows using frameworks like LangGraph, dify.ai, AutoGen;
• Experience with RAG, embedding pipelines, sparse and dense retrieval techniques;
• Bachelor’s degree in Computer Science, Mathematics, or equivalent practical experience;

• Upper-Intermediate level of English (B2) or above.

   

Would be a plus

• Knowledge of MLOps and Observability tool for production monitoring;
• Familiarity with Text-to-Speech models, including training and fine-tuning;

• Experience working with the AWS cloud platform.

   

Responsibilities

• Design, implement, and optimize LLM prompts to ensure reliable outputs;
  • Assist in developing and maintaining AI evaluation workflows, including designing evaluation guidelines and metrics;
• Help design and develop AI data pipelines: collection, storage, annotation, and model improvement;
• Leverage agent orchestration tools to improve and automate AI workflows;
• Collaborate with the product team to ensure AI capabilities power usable product features;