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