Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Metro location and popular AI role attract applicants despite niche generative agentic requirements.
Requires specialized generative AI and agentic skills, moderately transferable across industries.
Explicit 2-4 years plus mandatory generative AI, LLM, RAG, and agent framework experience.
Design, develop, and deploy production-grade AI systems leveraging Generative AI and agentic AI frameworks using large language models and intelligent agents.
Build and optimize scalable AI workflows including multi-agent coordination, prompt engineering, retrieval-augmented generation (RAG), and contextual memory systems with focus on latency, cost, and scalability.
Develop evaluation pipelines for accuracy, safety, and performance; ensure reliability through testing, logging, and monitoring; contribute to architectural decisions and promote AI governance for responsible model usage.
2-4 years of professional software development experience including Dotnet, React, or Full-stack development.
Minimum 2 years of hands-on experience building applications using Generative AI or agentic AI systems.
Strong proficiency in Python and backend engineering, with experience designing RESTful APIs and scalable service architectures.
Practical experience with LLM APIs, embeddings, vector search, RAG pipelines, and familiarity with agent frameworks and autonomous decision workflows.
Engineer comfortable integrating experimentation with disciplined software engineering to produce reliable AI-driven business solutions.
Experienced in end-to-end AI system development including workflow orchestration, AI evaluation pipelines, and applying AI governance principles.
Capable of collaborating cross-functionally and influencing development teams by promoting best practices, reusable AI patterns, and emerging AI technology adoption.