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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong global brand, metro locations and mid-level seniority drive high applicant competition.
Role requires specialized LLM/RAG expertise plus investment management domain knowledge, limiting cross-industry transferability.
Explicit 6+ years plus many mandatory AI, full-stack, governance and DevSecOps skills make shortlisting highly stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, deploy, and support enterprise AI applications leveraging Large Language Models, RAG pipelines, AI agents, and AI-assisted development tools to enhance engineering productivity.
Lead adoption and integration of AI-enabled software engineering practices across teams, including coaching on tools like Claude Code and GitHub Copilot while ensuring compliance with architecture, security, and governance standards.
Collaborate with Solution Architects and Engineering Leads to maintain engineering excellence via CI/CD, DevSecOps, secure coding, and responsible AI controls throughout software lifecycle.
Minimum Requirements
6+ years of software engineering experience including delivery of complex enterprise applications.
Proven experience building, deploying, and supporting Generative AI or LLM-powered production applications.
Strong proficiency in Python and modern frontend frameworks (Angular or React with TypeScript).
Experience with Retrieval Augmented Generation (RAG), vector search, AI agents, prompt engineering, CI/CD pipelines, DevSecOps practices, and AI governance.
Ideal Candidate Profile
Experienced hands-on full-stack engineer with strong practical knowledge of AI/ML, Generative AI, and enterprise AI solutions design and delivery.
Capability to bridge technical engineering teams and business stakeholders, facilitating secure, scalable AI adoption compliant with governance and Responsible AI principles.
Expert in modern software engineering standards and emerging AI-assisted development tools, focused on improving developer productivity and software quality.