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 robust 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 (Bengaluru)
🏢 Straive
📍 Bengaluru