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Principal Full Stack AI Engineer
n Human Resources & Management Systems [ nHRMS ]
full-time
Posted on:
Location Type: Remote
Location: India
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Job Level
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonDjangoJavaScriptTypeScriptReactREST APIsGraphQL APIsSQLNoSQLcontainerisation
Soft Skills
communicationstakeholder managementmentoringbest practicessystem design