





Moderate competition due to common 3–6 year mid-level AI role and recognizable Tier-2 employer.
Core ML/LLM skills transfer broadly, but enterprise data and workflow domain experience increases specificity.
Explicit 3–6 year requirement plus required Python and AI/LLM skills makes filtering moderately strict.
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Design, build, deploy, and support AI-powered applications and automation tools using Python, APIs, and AI/LLM technologies across multiple business functions.
Develop, test, and maintain models, data pipelines, and workflows, focusing on model performance, reliability, monitoring, and ongoing improvements.
Collaborate with data science, product, and engineering teams to deliver scalable AI solutions that create measurable business value and support the AI strategy.
Bachelor's degree or equivalent relevant work experience required.
3-6 years of experience in software engineering, AI, data engineering, or related fields.
Proficiency in Python programming and experience with AI/GenAI solutions and Large Language Models (LLM) technologies.
Work Experience Required: 3-6 years in relevant domains.
Has hands-on experience building and deploying business applications using Python and AI/LLM technologies, demonstrating technical ownership of end-to-end AI solutions.
Comfortable working with complex, structured and unstructured enterprise data, and adapting to evolving requirements and data challenges in a fast-paced environment.
Able to effectively collaborate across technical and business teams to translate AI capabilities into practical, scalable workflows and automation tools.