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SharpAtoms Linkedin · Posted 24d ago

AI Automation Engineer

Hyderabad

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AI Automation Engineer - Building the Future of AI-Powered Staffing

Location: Hyderabad, India (Hybrid Preferred)

Experience: 2–5 Years

Employment Type: Full-Time


About Us

We're not building another Applicant Tracking System.

We're building an AI-native recruiting operating system.


Our vision is to transform the staffing industry by combining Artificial Intelligence, workflow automation, institutional knowledge, and open-source technologies into a platform that fundamentally changes how recruiting is done.


Every recruiter develops instincts, shortcuts, and expertise over years of experience. Unfortunately, that knowledge often disappears when people leave.


We're building technology that captures that expertise, learns from it, and makes it available across the entire organization—creating an AI-powered recruiting engine that continuously improves over time.


The platform will initially power the U.S. staffing market while being designed to support global recruiting operations, including India.


If you enjoy solving hard problems, experimenting with emerging AI technologies, and building products that have never existed before, we'd love to talk to you.


The Opportunity: This is not a maintenance role ~ This is a build-from-zero opportunity.


You'll work directly with business leaders to design and develop an AI-powered recruiting platform that automates the complete staffing lifecycle—from job intake to candidate placement and beyond.


You won't simply consume AI APIs.


You'll architect intelligent systems, build AI agents, automate workflows, integrate business applications,and help create a product that could redefine how staffing organizations operate.


What You'll Build: You'll help design and automate the complete recruiting lifecycle, including:

  • Job Requisition Management
  • Resume Parsing & Candidate Intelligence
  • Candidate Sourcing Automation
  • AI-Powered Candidate Matching
  • Recruiter Copilots
  • Candidate Outreach Automation
  • Email & Communication Workflows
  • Interview Scheduling
  • Client Submission Workflows
  • Knowledge Retrieval Systems
  • AI Agents for Recruiting Operations
  • Business Process Automation
  • Reporting & Analytics
  • Institutional Knowledge Capture
  • Continuous Learning AI Systems


Every repetitive task is an opportunity for automation. Every business decision is an opportunity for intelligence.


Key Responsibilities:

  • Design AI-first solutions for staffing and recruiting operations.
  • Build intelligent workflow automations using platforms such as n8n.
  • Develop AI agents capable of performing business tasks autonomously.
  • Build Retrieval-Augmented Generation (RAG) systems using organizational knowledge.
  • Integrate LLMs into real-world business workflows.
  • Develop scalable API integrations across multiple business platforms.
  • Build self-hosted AI infrastructure using open-source technologies.
  • Deploy and manage local AI models where appropriate.
  • Collaborate with recruiters and business leaders to understand business processes.
  • Convert complex recruiting workflows into intelligent automation.
  • Continuously evaluate emerging AI technologies and recommend improvements.
  • Document architecture, workflows, and reusable components.


Required Technical Skills:

Programming

  • Python
  • JavaScript / TypeScript
  • REST APIs
  • JSON
  • SQL


Artificial Intelligence

  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • AI Agents
  • Embeddings
  • Vector Databases
  • Function Calling
  • Model Context Protocol (MCP) (Preferred)


Workflow Automation

  • Hands-on experience with one or more:
  • n8n
  • Flowise
  • LangFlow
  • Activepieces
  • Temporal (Nice to Have)


Open-Source AI Ecosystem

Experience with tools such as:

  • Ollama
  • Hugging Face
  • Open WebUI
  • LangChain
  • LangGraph
  • Qdrant
  • ChromaDB
  • PostgreSQL + pgvector
  • vLLM


Infrastructure

  • Docker
  • Linux
  • Git
  • Self-Hosted Deployments
  • API Integrations
  • Webhooks


Nice to Have

  • FastAPI
  • Playwright
  • Browser Automation
  • OCR
  • Speech AI
  • React
  • Computer Vision
  • Kubernetes


Who We're Looking For: We're far more interested in how you think than how many years you've worked.

You'll thrive here if you:

  • Love building products from scratch.
  • Learn new technologies quickly.
  • Prefer solving business problems over writing academic code.
  • Are excited by AI, automation, and intelligent systems.
  • Think in workflows rather than isolated features.
  • Enjoy experimenting with open-source technologies.
  • Take ownership without waiting for detailed instructions.
  • Can simplify complex problems into elegant solutions.
  • Value curiosity, speed, and continuous learning.
  • Believe software should eliminate repetitive work.


Our Technology Philosophy

Our engineering principles are simple:

  • Open Source First
  • AI Native
  • Automation First
  • Self-Hosted Wherever Practical
  • API-Driven Architecture
  • Human-in-the-Loop Intelligence
  • Build Once. Reuse Everywhere.


We're intentionally avoiding unnecessary SaaS dependencies and believe that the future of enterprise AI lies in flexible, composable, open architectures.


What Success Looks Like

Within your first few months, you'll help us:

  • Build production-grade AI workflows.
  • Automate major recruiting processes.
  • Create reusable AI agents.
  • Capture institutional knowledge into intelligent systems.
  • Improve recruiter productivity through automation.
  • Establish the technical foundation for a world-class AI recruiting platform.


Why Join Us?


You'll have the opportunity to build technology that doesn't yet exist.


Instead of joining a mature engineering team to maintain existing software, you'll work on greenfield problems where your ideas directly shape the product, architecture, and future of the company.


This role offers the rare chance to combine Artificial Intelligence, workflow automation, software engineering, and product innovation into something genuinely transformative.


If successful, the platform you build won't just improve one company—it has the potential to redefine how staffing organizations operate worldwide.



Final Note to Candidates:

We're NOT looking for someone who knows every framework. We're looking for someone who can't stop building.


If you're the kind of engineer who spends weekends experimenting with new AI tools, contributes to open-source projects, automates everything in sight, and gets excited by impossible problems—you'll probably fit right in.

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