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Artificial Intelligence Engineer

SysMind
4 - 6 Years
Multiple Locations

Posted on: 29/07/2026

Job Description

Job Title : AI Engineer

Experience : 4 - 6 Years

Primary Skill : AI & Generative AI Products and Tools

Role Overview :


We are looking for a skilled AI Engineer with hands-on experience in Artificial Intelligence and Generative AI technologies. The ideal candidate should have practical expertise in designing, developing, and deploying AI-powered solutions using modern AI frameworks, large language models (LLMs), and enterprise AI platforms.

Required Qualifications :

- 4 - 6 years of professional experience in AI, Machine Learning, or Software Development.

- Strong understanding of Artificial Intelligence, Machine Learning, and Generative AI concepts.

- Hands-on experience with Generative AI tools, products, and frameworks such as OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, LangChain, LlamaIndex, Hugging Face, or similar platforms.

- Experience integrating Large Language Models (LLMs) into enterprise applications.

- Knowledge of Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, vector databases, and AI agents.

- Proficiency in Python and experience building AI-driven applications and APIs.

- Experience working with REST APIs, cloud services (AWS, Azure, or GCP), and modern software development practices.

- Familiarity with model evaluation, prompt optimization, AI governance, and Responsible AI principles.

- Strong analytical, problem-solving, and communication skills.

Key Responsibilities :

- Design, develop, and deploy AI and Generative AI solutions to address business challenges.

- Build applications powered by Large Language Models (LLMs), RAG pipelines, and AI agents.

- Integrate AI models and external APIs into enterprise systems.

- Evaluate and optimize AI model performance, accuracy, and reliability.

- Develop reusable AI services, APIs, and automation workflows using Python.

- Collaborate with business stakeholders and cross-functional teams to translate requirements into AI-enabled solutions.

- Implement best practices for Responsible AI, model governance, and secure AI deployment.

- Stay current with emerging AI technologies, frameworks, and industry trends to drive continuous innovation.

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