Principal Full Stack AI Engineer

Job not on LinkedIn

🕒 March 5

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n Human Resources & Management Systems [ nHRMS ]

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2009

👥 HR Tech

🤝 B2B

📚 Education

HR Tech • B2B • Education

n Human Resources & Management Systems [ nHRMS ] is a boutique strategic HR consultancy and HR technology implementation firm that provides end-to-end HR solutions for growing organizations. They deliver talent acquisition and executive search, HR advisory, leadership development, HR process optimization, build-operate-transfer HR teams, and HR technology implementation, along with hybrid job-guaranteed training programs for HR careers. nHRMS serves primarily B2B clients, integrates with major HR/payroll platforms, and emphasizes personalized, measurable HR outcomes and long-term partnerships.

📋 Description

• Drive Generative AI vision, strategy, and platform architecture end-to-end • Design and build backend systems and APIs for AI-driven products and agentic frameworks • Integrate Large Language Models (LLMs) into scalable, production-ready applications • Establish reusable frameworks for model building, deployment, monitoring, and rollback • Build guardrails, compliance rules, and approval workflows into the GenAI platform • Implement monitoring, logging, tracing, and alerting across all AI systems • Define peer review and validation processes for user-generated AI models and applications • Create onboarding guides, templates, and sandbox environments for developers • Mentor and upskill engineers; champion best practices across the team • Communicate platform decisions and AI concepts clearly to non-technical stakeholders

🎯 Requirements

• 8+ years of professional software engineering experience in backend systems, APIs, or AI products • Proficiency in Python (Django) and JavaScript / TypeScript (React) • Strong understanding of REST / GraphQL APIs, backend architecture, and data modelling • Hands-on experience with agentic AI frameworks — LangChain, LangGraph, Semantic Kernel, or similar • Experience with containerisation (Docker) and cloud platforms (GCP, Azure, or equivalent) • Solid working knowledge of SQL and NoSQL databases • Proven track record of leading AI projects from conception to production deployment • Strong system design skills and software engineering fundamentals • Excellent communication and stakeholder management skills

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development