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Protocol Intelligence
Data-driven signals on your job's competitivenessSpecialized AI role with broad full-stack expectations and mid-seniority, driving medium competition.
AI engineering skills are transferable but enterprise integration and LLM expertise bias toward ML/AI backgrounds.
Explicit 6-10 years, mandatory AI experience and Python plus cloud/stack requirements make screening strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy enterprise-grade AI solutions including AI Agents, RAG-based applications, and LLM-powered platforms.
Collaborate with Architects, Product Owners, Data Engineers, and Business Stakeholders to build scalable, secure, production-ready AI systems integrated with enterprise applications and data platforms.
Implement AI Agent functionalities such as tool/function calling, prompt optimization, workflow/state management, and integrate AI solutions via REST APIs, working with structured and unstructured data, with deployment in cloud environments and CI/CD pipelines.
Minimum Requirements
6-10 years total work experience with at least 2 years dedicated to AI Development.
Mandatory programming skill: Python.
Experience with AI frameworks such as LangChain or LangGraph.
Familiarity with cloud platforms, specifically AWS services like Lambda, S3, ECS/EKS.
Ideal Candidate Profile
Strong software engineering foundation combined with practical expertise in Generative AI technologies.
Experience working in cross-functional teams involving architecture, product ownership, data engineering, and business stakeholders.
Proven ability to build scalable, secure, and production-ready AI systems integrating multiple data sources and enterprise applications.