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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level 2–5yrs, metro location, generalist AI/backend skillset increases competition.
Core AI and data engineering skills transfer across industries, though logistics and SAP integration adds domain specificity.
Explicit 2–5 years plus mandatory AI/data, programming, cloud and backend skill requirements raise strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and scale AI-powered applications and intelligent workflows to automate business processes and decision-making.
Develop scalable data pipelines and backend services supporting AI, data products, and self-service analytics across the enterprise.
Collaborate cross-functionally with Product, Data, Platform, and AI teams to deliver end-to-end, production-ready AI and data solutions aligned with enterprise standards.
Minimum Requirements
Bachelor's degree (BE/B.Tech) in Computer Science or related science/engineering discipline.
2–5 years of professional experience in software engineering or data engineering.
Proficiency in Python, Java or similar programming languages, and experience with SQL and ETL/data pipelines.
Familiarity with backend APIs, microservices, cloud platforms (Azure preferred), and DevOps practices.
Ideal Candidate Profile
Experienced in backend, data, or platform software engineering with hands-on AI/ML or agentic AI application development.
Strong understanding of data engineering and analytics use cases in large-scale enterprise environments.
Able to work effectively across teams, contribute to architecture, and deliver scalable, reliable AI and data-driven platforms.