Full Stack Developer - AI Platform

Intraintel.ai

Full Stack Developer - AI Platform

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Full Stack Developer - AI Platform

at Intraintel.ai

Agency job

via Recruit Square

6 - 9 yrs

₹10L - ₹20L / yr

Remote only

Skills

NodeJS (Node.js)

React.js

Google Cloud Platform (GCP)

About IntraIntel.ai

At IntraIntel.ai, we are building a next-generation, multi-tenant AI platform that enables organizations across industries—healthcare, clinical research, manufacturing, and textiles—to harness the power of intelligent automation and Generative AI. Our platform seamlessly integrates AI agents, RAG pipelines, and LLM-based workflows into a unified, scalable, and secure ecosystem hosted on Google Cloud Platform (GCP).

We are looking for a Full Stack Developer with deep experience in AI-integrated applications, cloud-native architecture, and end-to-end platform development—someone passionate about building intelligent systems that push the boundaries of innovation.

Key Responsibilities

1. Full Stack Development

Design, build, and maintain full-stack applications with Node.js, Express.js, and modern frontend frameworks such as React.js / Angular.
Implement RESTful APIs, GraphQL endpoints, and real-time communication features supporting multi-tenant AI workloads.
Optimize backend logic for scalability, modularity, and high availability on GCP.
Integrate AI-driven features (RAG, chatbots, data pipelines) into user-facing experiences.

2. AI Integration & Agentic Architecture

Work alongside AI engineers and architects to integrate LLMs, RAG pipelines, and AI agents (using frameworks like LangChain, CrewAI, or LlamaIndex) into the product stack.
Develop APIs and connectors for prompt orchestration, vector storage (FAISS, Chroma, Pinecone), and model inference workflows.
Implement context-aware AI features with secure data access boundaries and performance optimization.

3. Cloud Infrastructure & CI/CD

Deploy, manage, and optimize applications on Google Cloud Platform (GCP) using services such as Cloud Run, GKE, BigQuery, Cloud Storage, IAM, and Pub/Sub.
Set up and maintain CI/CD pipelines using GitHub Actions, Cloud Build, or Terraform for automated testing, integration, and deployment.
Manage infrastructure as code (IaC), automate containerized builds, and optimize deployment strategies for multi-environment scalability.

4. UI/UX Collaboration

Collaborate with product and design teams to transform mockups into seamless user experiences using Figma and front-end frameworks.
Contribute to UX optimization, ensuring that AI-driven features are intuitive, responsive, and visually engaging.
Work with designers to ensure front-end consistency across multi-tenant environments.

5. Performance, Security & Monitoring

Ensure data privacy, scalability, and compliance through role-based access control (RBAC), encryption, and secure API practices.
Monitor system performance using Cloud Monitoring / OpenTelemetry, ensuring uptime and reliability.
Participate in architectural discussions to enhance system observability and security posture.

Required Skills & Qualifications

Technical Proficiency

Backend: Node.js, Express.js, Python (for AI integration), REST/GraphQL APIs
Frontend: React.js / Angular / Vue.js, HTML5, CSS3, TypeScript, Next.js
Database: PostgreSQL, MongoDB, Firestore, Redis
Cloud: Google Cloud Platform (GCP) – Cloud Run, IAM, GKE, BigQuery, Cloud Storage
AI Integration: LLM APIs (OpenAI, Gemini, Claude), LangChain, RAG, vector databases (FAISS, Pinecone, Chroma)
DevOps: Docker, Kubernetes, Terraform, Cloud Build, GitHub Actions
Version Control: Git, Bitbucket
UI/UX Collaboration: Figma, Material UI, responsive design principles

Experience & Attributes

5+ years of experience in full-stack development, preferably on AI or SaaS platforms.
Strong understanding of multi-tenant architectures and modular design principles.
Proven experience in CI/CD pipeline automation and infrastructure management.
Experience in integrating AI services, chatbots, or intelligent recommendation systems.
Strong problem-solving skills and ability to collaborate in a fast-paced, cross-functional environment.
Excellent communication skills and documentation habits.

Preferred Qualifications

Prior experience working with AI-driven SaaS or agentic AI platforms.
Familiarity with PromptOps / MLOps practices and versioning workflows for LLMs.
Experience in data governance and security compliance (HIPAA, GDPR, or SOC2).
Cloud certifications (GCP Professional Cloud Developer / Architect) are a plus.

Why Join IntraIntel.ai

Work on cutting-edge AI agentic architectures with real-world enterprise impact.
Join a fast-growing, innovation-driven team shaping the future of AI platforms.
Build products at scale across diverse industries with a unified mission.
Collaborative and flexible environment encouraging ownership and creativity.

About IntraIntel.ai

Key Responsibilities

1. Full Stack Development

Design, build, and maintain full-stack applications with Node.js, Express.js, and modern frontend frameworks such as React.js / Angular.
Implement RESTful APIs, GraphQL endpoints, and real-time communication features supporting multi-tenant AI workloads.
Optimize backend logic for scalability, modularity, and high availability on GCP.
Integrate AI-driven features (RAG, chatbots, data pipelines) into user-facing experiences.

2. AI Integration & Agentic Architecture

Work alongside AI engineers and architects to integrate LLMs, RAG pipelines, and AI agents (using frameworks like LangChain, CrewAI, or LlamaIndex) into the product stack.
Develop APIs and connectors for prompt orchestration, vector storage (FAISS, Chroma, Pinecone), and model inference workflows.
Implement context-aware AI features with secure data access boundaries and performance optimization.

3. Cloud Infrastructure & CI/CD

Deploy, manage, and optimize applications on Google Cloud Platform (GCP) using services such as Cloud Run, GKE, BigQuery, Cloud Storage, IAM, and Pub/Sub.
Set up and maintain CI/CD pipelines using GitHub Actions, Cloud Build, or Terraform for automated testing, integration, and deployment.
Manage infrastructure as code (IaC), automate containerized builds, and optimize deployment strategies for multi-environment scalability.

4. UI/UX Collaboration

Collaborate with product and design teams to transform mockups into seamless user experiences using Figma and front-end frameworks.
Contribute to UX optimization, ensuring that AI-driven features are intuitive, responsive, and visually engaging.
Work with designers to ensure front-end consistency across multi-tenant environments.

5. Performance, Security & Monitoring

Ensure data privacy, scalability, and compliance through role-based access control (RBAC), encryption, and secure API practices.
Monitor system performance using Cloud Monitoring / OpenTelemetry, ensuring uptime and reliability.
Participate in architectural discussions to enhance system observability and security posture.

Required Skills & Qualifications

Technical Proficiency

Backend: Node.js, Express.js, Python (for AI integration), REST/GraphQL APIs
Frontend: React.js / Angular / Vue.js, HTML5, CSS3, TypeScript, Next.js
Database: PostgreSQL, MongoDB, Firestore, Redis
Cloud: Google Cloud Platform (GCP) – Cloud Run, IAM, GKE, BigQuery, Cloud Storage
AI Integration: LLM APIs (OpenAI, Gemini, Claude), LangChain, RAG, vector databases (FAISS, Pinecone, Chroma)
DevOps: Docker, Kubernetes, Terraform, Cloud Build, GitHub Actions
Version Control: Git, Bitbucket
UI/UX Collaboration: Figma, Material UI, responsive design principles

Experience & Attributes

5+ years of experience in full-stack development, preferably on AI or SaaS platforms.
Strong understanding of multi-tenant architectures and modular design principles.
Proven experience in CI/CD pipeline automation and infrastructure management.
Experience in integrating AI services, chatbots, or intelligent recommendation systems.
Strong problem-solving skills and ability to collaborate in a fast-paced, cross-functional environment.
Excellent communication skills and documentation habits.

Preferred Qualifications

Prior experience working with AI-driven SaaS or agentic AI platforms.
Familiarity with PromptOps / MLOps practices and versioning workflows for LLMs.
Experience in data governance and security compliance (HIPAA, GDPR, or SOC2).
Cloud certifications (GCP Professional Cloud Developer / Architect) are a plus.

Why Join IntraIntel.ai

Work on cutting-edge AI agentic architectures with real-world enterprise impact.
Join a fast-growing, innovation-driven team shaping the future of AI platforms.
Build products at scale across diverse industries with a unified mission.
Collaborative and flexible environment encouraging ownership and creativity.

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Engineering Manager

Responsibilities

Responsible for the overall development life cycle of the solution and manage multi-complexity projects.
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Lead a software engineering team, provide technical coaching, mentor teammates and manage project timelines.
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Collaborate with Product and UX teams to design and build responsive, data rich tools for our customers.
Collaborate across multiple teams to architect new solutions.
Drive efforts to reduce inefficiencies in development, QA and deployment processes.
Mentor and guide the team to make sound engineering decisions, improve code quality and encourage the team to get out of their comfort zone, whilst working with team members to grow.
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Qualifications

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