Lead – AI

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

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, , 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