Lead – AI Platform

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