AI Engineer 1-SDE1

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

• 1+ 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.