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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level GenAI role in metro with broad skills and strong global employer, high applicant density.
Specialized GenAI, LLM, and MLOps requirements limit cross-industry transferability.
Explicit 5–7 years plus mandatory GenAI, cloud, and backend tech makes filters highly stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and industrialize high visibility Generative AI solutions integrating Large Language Models (LLMs) and components like RAG, embeddings, and agents.
Develop scalable and robust GenAI architectures including APIs, microservices, and AI pipelines within industrial cloud platforms (Azure, AWS, or GCP).
Support client teams with technical expertise, architecture reviews, audits, and enforce solution quality, security, and compliance standards.
Minimum Requirements
5-7 years of work experience in software engineering or related roles.
Strong backend development skills in Python, Node.js, or Java.
Proficiency with Generative AI frameworks such as LangChain, LlamaIndex, Hugging Face, and OpenAI API.
Hands-on exposure to at least one major cloud platform (Azure, AWS, or GCP) and experience with production-grade industrial environments.
Ideal Candidate Profile
Experience operating within large enterprise ecosystems, demonstrating structured communication and a strong service mindset.
Familiarity with RAG architectures, vector databases, and MLOps pipelines is highly advantageous.
Comfort and experience working in Agile teams, contributing to sprint planning, workload estimation, and continuous process improvements.