AI Engineer

Role Overview

The ideal candidate will be responsible for building and deploying AI/ML solutions, LLM and Generative AI applications, AI-powered APIs, and RAG-based systems.

The role involves developing ML pipelines, working with vector databases and embeddings, integrating LLM APIs, optimizing models, and monitoring AI solutions while collaborating with software, data, and product teams.

Key Responsibilities

• Develop and deploy AI/ML solutions;
• Build LLM and Generative AI applications;
• Develop AI-powered APIs and services;
• Design and implement ML pipelines;
• Perform data preprocessing and feature engineering;
• Train, evaluate, and optimize ML models;
• Implement RAG-based applications;
• Work with vector databases and embeddings;
• Integrate LLM and AI APIs;
• Develop prompts and evaluate LLM outputs;
• Deploy and monitor AI solutions;
• Optimize model performance and scalability;
• Collaborate with software engineers, data engineers, and product teams;
• Stay updated with emerging AI technologies

Required Skills

• Python
• SQL
• API
• LLMs
• Generative AI
• RAG Architectures
• TensorFlow
• PyTorch

Nice to Have

• LangGraph / CrewAI depth
• Cloud certifications (AWS/Azure/GCP)
• Hugging face

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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.