Location : Hyderabad Full Time.
Department : R& D Engineering.
Reports To : Head of Engineering / CTO.
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 & 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 handlingTask queues and async job coordinationError handling, checkpointing, and retriesDefine 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 templatesContext memoryChaining 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 buildersMonitoring dashboardsEnsure 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 :
Bachelors or Masters 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, 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 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.(ref : hirist.tech)