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AI Platform Engineer (Full Stack)

AI Platform Engineer (Full Stack)

ConfidentialCoimbatore, India
5 days ago
Job description

AI Platform Engineer (Full Stack)

About the Role

We're looking for an exceptional Full-Stack AI Platform Engineer to join our team at MindGryd Software Private Limited and work on a cutting-edge AI-powered platform ecosystem. You'll be building and scaling multiple interconnected products that leverage advanced AI agents, multi-agent orchestration, and modern web technologies to deliver real-world business value.

This is a rare opportunity to work on the full spectrum of AI application development - from designing multi-agent workflows with LangGraph to building responsive React frontends, from integrating with multiple LLM providers to deploying production systems on Kubernetes.

Key Responsibilities

AI & Machine Learning (40%)

  • Design and implement multi-agent systems using LangGraph and LLM orchestration patterns
  • Optimize prompt engineering and agent behaviors for reliability and cost efficience
  • Build AI tools and integrations (web scraping, image generation, knowledge bases)
  • Implement structured conversation memory, trimming, and summarization systems
  • Debug and optimize AI agent workflows and state management

Backend Development (30%)

  • Build scalable REST APIs with FastAPI (Python) and Express (Node.js)
  • Implement WebSocket servers for real-time bidirectional communication
  • Design MongoDB schemas and optimize database queries with async operations
  • Integrate external APIs (payment gateways, cloud services, social platforms)
  • Implement authentication / authorization (JWT, OAuth 2.0, NextAuth)

    • Frontend Development (20%)

  • Build responsive web applications with Next.js and React 19
  • Implement complex UI components with Tailwind CSS
  • Manage application state with Redux Toolkit and React Context
  • Integrate real-time features using WebSocket connections
  • Optimize performance and user experience

    • DevOps & Infrastructure (10%)

  • Deploy and manage applications on Kubernetes clusters
  • Implement CI / CD pipelines with GitHub Actions and GitLab CI
  • Containerize applications with Docker (multi-architecture : ARM64 / AMD64)
  • Monitor application health, logging, and error tracking
  • Manage production deployments and rollback strategies

    • Ideal Candidate Profile

    Technical Excellence

  • 3+ years of professional software development experience
  • 1+ years working with LLMs or AI agent systems
  • Demonstrated ability to build production-ready applications from scratch
  • Strong debugging and problem-solving skills
  • Experience with both synchronous and asynchronous programming paradigms

    • AI / ML Competency

  • Deep understanding of how LLMs work and their limitations
  • Experience designing multi-step AI workflows and agent systems
  • Knowledge of prompt engineering best practices
  • Ability to optimize for cost, latency, and reliability

    • Full-Stack Mindset

  • Comfortable working across the entire stack (database → backend → frontend)
  • Can translate business requirements into technical architectures
  • Understands user experience and performance optimization
  • Writes clean, maintainable, well-documented code

    • Ownership & Initiative

  • Takes ownership of features from design to deployment
  • Proactively identifies and solves problems
  • Can work independently with minimal supervision
  • Balances speed with quality and technical debt

    • Communication & Collaboration

  • Clear technical communication (documentation, code reviews, discussions)
  • Comfortable working in a collaborative environment
  • Can explain complex technical concepts to non-technical stakeholders
  • Open to giving and receiving feedback

    • Continuous Learning

  • Stays up-to-date with rapidly evolving AI / ML landscape
  • Experiments with new technologies and framework
  • Contributes to technical discussions and architectural decisions
  • Shares knowledge with the team

    • What We Offer

    Exciting Technical Challenges

  • Work on cutting-edge AI agent systems with real-world applications
  • Build multi-agent orchestration systems using state-of-the-art frameworks
  • Integrate with multiple LLM providers and social media platforms
  • Design scalable architectures handling real-time communication
  • Deploy production systems on modern infrastructure (Kubernetes)

    • Growth & Learning

  • Exposure to the latest AI / ML technologies and frameworks
  • Opportunity to work across the full stack (backend, frontend, AI, DevOps)
  • Solve complex technical problems with significant business impact
  • Work with modern development practices and tools

    • Impact

  • Your code will directly impact how users interact with AI-powered automation
  • Build systems that orchestrate multiple AI agents to accomplish complex tasks
  • Create products that save businesses time and money
  • Shape the architecture and technical direction of the platform

    • Work Environment

  • Remote-friendly or hybrid work options
  • Collaborative team environment with regular code reviews
  • Focus on code quality, testing, and maintainable software
  • Modern development tools and infrastructure

    • Application Process

    What We're Looking For in Your Application

    1. Resume / CV highlighting relevant experience with AI / LLM systems, full-stack development, and deployed production applications

    2. GitHub Profile or portfolio showcasing :

  • Projects involving AI / ML or LLM integration
  • Full-stack applications (both backend and frontend)
  • Clean, well-documented code
  • Contributions to open-source projects (bonus)

    • 3. Cover Letter or Brief Introduction addressing :

  • Your experience with AI agent systems or LLM applications
  • Most complex full-stack project you've built
  • Why you're excited about this role
  • Your approach to learning new technologies

    • Interview Process

    1. Initial Screen (30 min) - Technical background and cultural fit discussion

    2. Technical Interview (90 min) - Live coding and system design

  • AI agent workflow design challenge
  • Full-stack feature implementation
  • Debugging and problem-solving
  • Deep dive into past projects and architectural decisions

    • 3. Team Fit (30 min) - Meet the team and discuss collaboration style

    4. Offer - We move fast for the right candidate

    About Our Company

    We build AI-powered platforms that help businesses to create their own agentic automation. Our products combine cutting-edge AI agent technology with modern web applications to deliver real business value.

    Our Tech Philosophy :

  • AI-first but pragmatic - we use AI where it makes sense
  • Full-stack ownership - engineers own features end-to-end
  • Quality over quantity - we value well-engineered, maintainable code
  • Modern stack - we use the latest stable technologies
  • Production-first - we build for real users with real needs

    • Location & Work Arrangement

  • Work Location : Coimbatore (Office)

    • How to Apply

    Apply via Linkedin or email us at [HIDDEN TEXT]

    Equal Opportunity

    We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

    Ready to build the future of AI-powered applications We'd love to hear from you!

    This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it.

    Skills Required

    Websocket, Express, Node.js, React, Docker, FastAPI, Mongodb, Python, Kubernetes

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