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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level AI role with broad cloud and LLM skills attracts many qualified applicants.
Specialized LLM, vector, and cloud data platform skills transfer across industries but require strong AI-specific experience.
Explicit 6+ years and mandatory cloud, data engineering, and generative-AI skills tighten shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and productionize AI and Generative AI capabilities integrated with an enterprise cloud data platform including LLM-based applications and RAG solutions.
Enhance and optimize scalable data ingestion, transformation, and processing pipelines supporting structured, semi-structured, and unstructured data across cloud environments.
Translate business requirements into scalable AI/data engineering solutions, conduct technical POCs, and collaborate with cross-functional teams on architecture, code reviews, and performance optimization.
Minimum Requirements
6+ years overall experience in Data Engineering / Cloud Data Platforms.
At least 1+ year hands-on experience in AI, Generative AI, LLM-based applications, or ML engineering.
Strong proficiency in Python, SQL, Apache Spark, and cloud data platforms (AWS, Azure, or GCP).
Bachelor's or Master's degree in Computer Science, IT, Data Science, AI, Engineering, or a related technical discipline.
Ideal Candidate Profile
Experienced in building enterprise-grade GenAI applications with hands-on integration of LLMs, vector databases, and AI agents within cloud data platforms.
Able to design and implement scalable, secure, and cost-optimized data pipelines and AI workflows in a modern cloud environment with strong knowledge of observability, monitoring, and responsible AI controls.
Skilled in collaborating across technical and business teams to translate requirements into productionized AI-enabled data platform solutions, including experience with DevOps, MLOps/LLMOps, and infrastructure-as-code.