SE - AI & ML

At CheQ, we’re turning the chaos of credit into a journey that’s clear, rewarding, and even a little fun.

With ₹80,000 Cr+ in lifetime payments, a growing tribe of users (30%+ using more than two products), and $16M raised from marquee investors, we’re fast becoming India’s favorite way to go from credit-stressed to credit-smart.

Founded by ex-Flipkart leader Aditya Soni and backed by 3one4 Capital, Venture Highway, Ram Shriram, Lloyd Mathias and more, CheQ isn’t just another fintech, it’s a full-stack credit experience.

What you’ll be doing

As a Software Engineer (AI & ML) you will:

• Build end-to-end AIML services - You build it, you own it
• Work with people from other teams and departments on a day to day basis to ensure efficient project execution with a focus on delivering value to our members.
• Regularly aligning your team’s vision and roadmap with the target architecture within your domain and to ensure the success of complex multi domain initiatives.
• Integrate already trained ML and GenAI models (preferably GCP) in services.

What you’ll need

Like us, you’ll be deeply committed to delivering impactful outcomes for customers.

• 2+ years of proven work experience as a AI/ML/LLM Engineer.
• Understanding of AIML & Gen AI software engineering fundamentals (LLM, prompts, context, inference, etc.).
• Hands-on experience with Python libraries like Pandas, NumPy, Scikit-learn, Langchain/LLamaIndex etc.
• Experience with machine learning frameworks such as PyTorch or TensorFlow, Keras, being proficient in Python
• Hands-on experience with frameworks such as Django or FastAPI or Flask
• Hands-on experience with MySQL, MongoDB, Redis and BigQuery (or equivalents)
• Extensive experience integrating with or creating AI/ML/LLM based modules.
• Experience with creating and maintaining CI/CD pipelines - we use GitHub Actions.
• Experience with event-driven architectures like Kafka, RabbitMq or equivalents.
• Good knowledge about
• LLMs
• Vector stores/databases
• Prompt/Context Engineering
• Embeddings and their implementations