AI Engineer

AI Engineer

Experience

• 5-8 Years

Location

• Remote

Job Overview

We are looking for an experienced AI Engineer to design, develop, and deploy production-ready AI and Large Language Model (LLM) solutions. The ideal candidate should have strong hands-on experience in LLM application development, prompt engineering, cloud platforms, and implementing guardrails to ensure reliable, secure, and responsible AI applications.

Key Responsibilities

• Design, develop, and deploy production-grade LLM pipelines and AI-powered applications.
• Build and integrate LLM solutions into existing products, platforms, and business workflows.
• Develop and optimize prompts and prompt engineering strategies to improve the accuracy, relevance, and consistency of LLM outputs.
• Implement guardrails and safety mechanisms for production LLM applications, including controls for output quality, security, privacy, and responsible AI usage.
• Develop scalable AI/ML solutions using cloud platforms, preferably AWS .
• Collaborate with data scientists, software engineers, product teams, and business stakeholders to translate business requirements into AI solutions.
• Monitor and troubleshoot LLM applications in production and continuously improve performance, reliability, and cost efficiency.
• Evaluate LLM models, prompts, workflows, and AI application performance using appropriate metrics and testing approaches.
• Follow best practices for AI security, governance, data protection, and responsible AI .

Required Skills & Experience

• Experience working with cloud computing platforms , preferably AWS .
• Strong hands-on experience developing and deploying production LLM pipelines .
• Strong experience in prompt engineering and prompt optimization .
• Experience implementing guardrails for production LLM applications .
• Strong understanding of LLM application architecture and GenAI concepts.
• Experience integrating LLMs through APIs and building AI-powered applications.
• Strong programming experience in Python or a similar programming language.
• Experience with production deployment, monitoring, debugging, and optimization of AI applications.
• Understanding of security, privacy, reliability, and responsible AI considerations for LLM applications.

Preferred Skills

• Experience with AWS AI/ML services such as Amazon Bedrock, SageMaker, or related services.
• Experience with RAG (Retrieval-Augmented Generation) architectures.
• Experience with vector databases and embedding models.
• Familiarity with LLM frameworks such as LangChain, LlamaIndex, or similar frameworks .
• Experience with LLM evaluation, observability, and performance monitoring.
• Knowledge of AI/ML CI/CD and MLOps practices.
• Experience working with multiple LLM providers or open-source LLMs.

Education

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field .