AI Engineer

Company Overview

Margerp is a leading company specializing in advanced AI solutions, positioned within the emerging tech landscape. Although specific details about the company culture and values were not provided, it is inferred that the organization thrives in innovation and a fast-paced environment.

Job Summary

The AI Engineer role is designed for innovative individuals to develop and implement cutting-edge AI and Machine Learning (ML) solutions. The position involves designing scalable systems that leverage Large Language Models (LLMs) to optimize software development practices and enhance operational efficiency, aligning with the company's strategic goals for AI implementation.

Responsibilities

• Design and deploy AI/ML and Large Language Model (LLM)-based solutions, focusing on Agentic AI and AIOps.
• Build AI-driven automation solutions for software development, testing, and business workflows.
• Collaborate with LLM systems such as Claude and GPT, emphasizing prompt engineering and Retrieval-Augmented Generation (RAG) pipelines.
• Develop scalable data and AI pipelines using Python, APIs, and modern AI frameworks.
• Integrate AI capabilities into enterprise applications utilizing microservices and cloud-native architectures.
• Leverage AI-powered developer tools for code generation, test automation, and productivity enhancement.
• Implement monitoring, evaluation, performance optimization, and governance strategies for AI models.
• Design and manage vector databases, embeddings, and semantic search solutions.
• Collaborate with DevOps teams to implement CI/CD pipelines and deploy AI solutions on Azure or AWS cloud platforms.
• Work in a fast-paced startup environment with a strong problem-solving mindset and the ability to execute quickly.

Qualifications

• 5–8 years of experience in AI/ML engineering, data engineering, or related roles.
• Strong proficiency in Python with experience building production-grade AI applications.
• Hands-on experience with Large Language Models (LLMs), prompt engineering, and RAG architectures.
• Familiarity with vector databases, embeddings, and semantic search technologies.
• Knowledge of AI/ML frameworks and libraries such as LangChain, LlamaIndex, Hugging Face, or equivalent.
• Experience developing and consuming REST APIs for AI services.
• Familiarity with microservices architecture and cloud-native application development.
• Hands-on experience with Azure or AWS cloud platforms and CI/CD deployment pipelines.
• Understanding of AI model evaluation, monitoring, and optimization techniques.
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills

• Experience with Agentic AI, AI automation, and AIOps platforms.
• Exposure to enterprise AI implementations and cloud-based AI solutions.
• Experience working in SaaS, product-based, or startup environments.
• Familiarity with DevOps practices, Docker, Kubernetes, and modern software engineering workflows.

Experience

5–8 years in roles related to AI/ML engineering, data engineering, or similar fields.

Environment

The work environment is within a fast-paced startup setting, which may require flexibility and adaptability. Specific details about the work location (remote, in-office, hybrid) were not provided.

Salary

Salary details were not specified.

Growth Opportunities

Information on potential career advancement opportunities within the company was not provided.

Benefits

Details regarding the benefits offered, such as insurance, paid leave, or work policies, were not specified.