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AI Engineer 2- SDE2 at Cashfree Payments India Private Limited

Bellandur, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

30 Sep, 26

Salary

0.0

Posted On

02 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Large Language Models, PyTorch, TensorFlow, Scikit-learn, GenAI Deployment, Vector Databases, RAG Architectures, Transformers Architecture, Agentic Frameworks, API Development, Backend Services, Cloud Platforms, LangChain, LlamaIndex, MLOps

Industry

Financial Services

Description

AI Engineer – SDE 2 Role Overview We are looking for a passionate AI Engineer (SDE-1) to design, build, and deploy AI/ML solutions that power intelligent products and automate business processes. The ideal candidate will work closely with product, data, and engineering teams to develop scalable AI systems. Key Responsibilities Design, develop, and deploy machine learning and AI models for real-world applications. Undertanding of the business problem statements and translate them into actionable items. Build and optimize LLM-based solutions, NLP pipelines, and recommendation systems. Develop scalable AI APIs and microservices for product integration. Experiment with prompt engineering, model fine-tuning, and RAG architectures. Monitor model performance and improve accuracy, latency, and reliability. Write clean, scalable, and production-ready code. Required Skills 2.5+ years of experience in AI/ML or backend engineering. Strong programming skills in Python. Good uderstanding of open source large language models. Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. Hands-on experience with deploying GenAI models Familiarity with vector databases, embeddings, and RAG architectures. Familiarity with the Transformers architecture, large language models and agentic frameworks. Experience building APIs and backend services. Good understanding of evaluating of current model pipelines. Knowledge of cloud platforms (AWS/GCP/Azure). Good to Have Experience of fine tuning the open source models for business use case. Experience with LangChain, LlamaIndex, OpenAI APIs, or Hugging Face. Experience deploying models using Docker/Kubernetes. Knowledge of MLOps pipelines.

Responsibilities

Design, build, and deploy scalable AI/ML solutions, including LLM-based systems and NLP pipelines. Develop AI APIs and microservices while monitoring model performance for accuracy and reliability.