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 solid 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.

📌 AI Engineer (India)
🏢 Straive
📍 India