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 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
- 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, 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.
(ref:hirist.tech)
