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, 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.
Important
Before applying for this position, please ensure you answer the questions below. Applications without responses will not be considered. * How do you decide if the prompts are good enough to go into the production system? * How do you determine when it’s the right time to fine-tune a Large Language Model?
