AI is evolving fast, and the company is looking for a Middle AI Engineer to explore possibilities, turn ideas into prototypes, and help define the use of modern AI in the real world.
The role involves designing and deploying AI-powered workflows using RAG, AI agents, and LLM integrations.
The engineer will scope and build AI use cases with multiple stakeholders.
Responsibilities include writing full-stack implementations with AI integrations.
The position requires iterating quickly to keep up with the rapid changes in the AI space.
Staying updated on trends in foundation models, multimodal AI, and AI governance is essential.
Requirements:
Candidates must have 2–5 years of experience in AI Engineering.
Proficiency in Python, including experience with Pandas and API development, is required.
Hands-on experience with LLMs, machine learning models, and AI automation tools is necessary.
A proven ability to build full-stack applications with integrated AI workflows is essential.
Familiarity with foundation models, multimodal AI, and AI governance trends is expected.
The candidate should be self-motivated with a strong ability to work independently.
An outcome-driven mindset with a focus on delivering impact is required.
Benefits:
The position offers a fully remote setup.
Competitive compensation in USD is provided.
The company has adequate, friendly management.
Employees will be part of a supportive team and work on exciting projects.