Posted on: 29/07/2026
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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