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 librariesIntegrate open and commercial LLMs such as OpenAI, Claude, Mistral, or CohereBuild Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, Qdrant, or FAISSDevelop components for :Prompt templatesContext memoryChaining and orchestration of multi-step agentsPlatform Engineering
Containerize services using Docker and orchestrate with Kubernetes and HelmBuild and maintain CI / CD pipelines using Azure DevOps, GitHub Actions, or ArgoImplement scalable infrastructure patterns including autoscaling and service mesh networkingSetup observability stack including structured logs, metrics, tracing, and alertingUI / UX Enablement
Enable low-code / no-code interfaces through backend schema-driven UI renderersCollaborate with React + TypeScript frontend engineers to build :Visual workflow buildersMonitoring dashboardsEnsure responsiveness and performance of UI for synchronous and long-running processesLeadership & Collaboration
Lead and mentor a cross-functional team of engineersEstablish engineering best practices across design, coding, testing, and performance optimizationFacilitate cross-team alignment with data scientists, DevOps, and product managersSupport hiring efforts and technical onboardingMinimum Qualifications
Bachelor’s or master’s in computer science, Engineering, or related fieldPreferred Technical Skills
AI / LLM Technologies : OpenAI, Claude, Cohere, HuggingFace Transformers, LangChain, Semantic Kernel, Haystack,Vector databases : Pinecone, FAISS, QdrantWorkflow & Orchestration : Temporal, n8n, Redis Streams, RabbitMQ, Celery, Kafka, EventBridgeBackend & Platform : Python, Node.js, RESTful APIs, gRPC, Webhooks, Kubernetes, Docker, Cloud platforms Azure App Services, AWS Lambda, GCP Cloud RunDevOps & Observability : GitHub Actions, Azure DevOps, Grafana, Loki, OpenTelemetryFrontend (for UI integration) : React, TypeScript, Redux, TailwindCSS or Material UISoft Skills
Strong communicator with documentation and architectural diagramming proficiencyCollaborative mindset with a focus on mentorship, code quality, and engineering velocityAdaptability to rapidly evolving AI / LLM ecosystemWhy Join Us
Build a flagship AI automation platform from the ground upWork with a visionary Founder, solving real-world enterprise automation challengesInfluence technical strategy, product direction, and scaling decisions
