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Principal Full Stack AI Engineer

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Onsite

Principal Full Stack AI Engineer

Recruber

Principal Full Stack AI Engineer

Skills

Google Cloud PlatformSQL QueriesBig DataDeep LearningDockerReactTypescriptDjangoPythonData ScienceGraphQLData AnalysisMachine LearningAIComplianceJavascriptAzure

15 days ago

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Important information


Location:

India

Work mode:

Onsite

Published on:

6 October 2026

What they need


Position: Principal Full Stack AI Engineer

Your Role

Play an instrumental and influential role in driving Generative AI vision, strategy, and

architecture.

Architect, build, maintain, and improve new and existing suite of GenAI applications

and their underlying systems.

Design and develop backend systems and APIs for AI-driven products and agent

frameworks

Integrate LLMs into scalable, production-ready systems

Establish reusable frameworks to streamline model building, deployment and

monitoring. Incorporate comprehensive monitoring, logging, tracing, and alerting

mechanisms.

Build guardrails, compliance rules and oversight workflows into the GenAI application

platform, such as establishing approval chains for model updates and staged rollout for

production releases

Develop templates, guides and sandbox environments for easy onboarding of new

contributors and experimentation with new techniques

Ensure development of user-facing applications in the GenAI application platform is

easy and safe by enforcing rigorous validation testing before publishing user-generated

models and implement a clear peer review process of applications

Contribute to and promote good software engineering practices across the team.

Your expertise

Proven experience in leading AI projects from conception to deployment in a

consultancy or start-up environment

professional software engineering experience, ideally working on backend systems,

APIs, or AI-related products

Proficiency in Python (Django) and JavaScript/TypeScript (React)

Strong understanding of backend architectures, REST/GraphQL APIs, and data

modelling

Experience with containerisation (Docker) and cloud platforms (GCP, Azure, or similar)

Exposure to agentic frameworks (LangChain, LangGraph, Semantic Kernel, etc.)

Practical experience with databases (SQL / NoSQL)

Strong foundation in software design principles and system designing

Strong leadership skills with a proven track record of mentoring and developing talent

Excellent communications skills, capable of conveying complex AI concepts to nontechnical stakeholders

A strategic thinker with a passion for problem-solving and innovation

SME in statistics, analytics, big data, data science, machine learning, deep learning,

cloud, mobile, and full stack technologies.

Hands-on experience analysing large amounts of data to derive actionable insights.

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