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Tier-1 brand and seniority with niche GenAI skills moderate competition.
Strong GenAI and ML engineering focus limits transferable backgrounds.
Mandatory 12+ years plus required GenAI, cloud, and Python skills enforce strict shortlisting.
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Design and implement AI-driven solutions using GenAI, ML, and cloud-native architectures.
Develop and integrate AI components such as LLM-based services, RAG pipelines, and agents into scalable production-ready systems.
Collaborate with architects and delivery teams to ensure AI solutions align with enterprise architecture and follow best practices for scalability, reliability, and security.
12+ years of professional experience in AI/ML and cloud-based development.
Bachelor’s degree in Computer Science, Engineering, or related field.
Proficiency in Python-based AI/ML development, GenAI technologies including LLMs, RAG, and Agents.
Experience with cloud platforms such as AWS, Azure, or GCP and working knowledge of APIs, microservices, and cloud-native architectures.
Experienced in translating AI use cases into scalable, production-ready systems within fast-paced environments.
Skilled in integrating AI/GenAI components and collaborating across architecture and delivery teams to align solutions enterprise-wide.
Familiar with CI/CD processes, Agile delivery models, and modern software engineering practices including DevOps and automation.