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(Only 24h Left) Lead – AI Platform

(Only 24h Left) Lead – AI Platform

G1 GLOBALHyderabad, Telangana, India
16 days ago
Job description

Location : Hyderabad (On-site) Full Time

Department : R& D Engineering

Reports To : Head of Engineering / CTO

Office Timings : 12PM - 9PM

Position Overview

We are hiring a technically hands-on Senior Architect to lead the design, development, and deployment of a modular AI-driven automation platform, integrating AI Agent framework, Rag Model solution, Large Language Models (LLMs), Machine Learning and rule-based automation engines. This platform will power intelligent workflow automation across internal operations, customer service, and enterprise integrations, enabling our clients to achieve hyper-productivity and reduce operational costs.

Primary Responsibilities

Architecture & Framework Engineering

  • Architect an extensible, component-based automation framework capable of :
  • Custom AI Agent Framework
  • Pluggable ML / LLM pipelines
  • Custom event triggers and action processors
  • Event-driven workflows with state persistence
  • Build core execution capabilities such as :
  • Workflow DAG handling
  • Task queues and async job coordination
  • Error handling, checkpointing, and retries
  • Define reusable microservice APIs and developer-facing SDKs
  • Design scalable multi-tenant architecture for horizontal scaling

AI / LLM Integration

  • Implement LLM abstraction layers using LangChain, Semantic Kernel, or similar libraries
  • Integrate open and commercial LLMs such as OpenAI, Claude, Mistral, or Cohere
  • Build Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, Qdrant, or FAISS
  • Develop components for :
  • Prompt templates
  • Context memory
  • Chaining and orchestration of multi-step agents
  • Platform Engineering

  • Containerize services using Docker and orchestrate with Kubernetes and Helm
  • Build and maintain CI / CD pipelines using Azure DevOps, GitHub Actions, or Argo
  • Implement scalable infrastructure patterns including autoscaling and service mesh networking
  • Setup observability stack including structured logs, metrics, tracing, and alerting
  • UI / UX Enablement

  • Enable low-code / no-code interfaces through backend schema-driven UI renderers
  • Collaborate with React + TypeScript frontend engineers to build :
  • Visual workflow builders
  • Monitoring dashboards
  • Ensure responsiveness and performance of UI for synchronous and long-running processes
  • Leadership & Collaboration

  • Lead and mentor a cross-functional team of engineers
  • Establish engineering best practices across design, coding, testing, and performance optimization
  • Facilitate cross-team alignment with data scientists, DevOps, and product managers
  • Support hiring efforts and technical onboarding
  • Minimum Qualifications

  • Bachelor’s or master’s in computer science, Engineering, or related field
  • Preferred Technical Skills

  • AI / LLM Technologies : OpenAI, Claude, Cohere, HuggingFace Transformers, LangChain, Semantic Kernel, Haystack,
  • Vector databases : Pinecone, FAISS, Qdrant
  • Workflow & Orchestration : Temporal, n8n, Redis Streams, RabbitMQ, Celery, Kafka, EventBridge
  • Backend & Platform : Python, Node.js, RESTful APIs, gRPC, Webhooks, Kubernetes, Docker, Cloud platforms Azure App Services, AWS Lambda, GCP Cloud Run
  • DevOps & Observability : GitHub Actions, Azure DevOps, Grafana, Loki, OpenTelemetry
  • Frontend (for UI integration) : React, TypeScript, Redux, TailwindCSS or Material UI
  • Soft Skills

  • Strong communicator with documentation and architectural diagramming proficiency
  • Collaborative mindset with a focus on mentorship, code quality, and engineering velocity
  • Adaptability to rapidly evolving AI / LLM ecosystem
  • Why Join Us

  • Build a flagship AI automation platform from the ground up
  • Work with a visionary Founder, solving real-world enterprise automation challenges
  • Influence technical strategy, product direction, and scaling decisions

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