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AI Agentic Engineer / Builder

AI Agentic Engineer / Builder

GROWQRmumbai city, maharashtra, in
1 day ago
Job description

Location : Noida / Delhi NCR

Type : Full-time

At Growqr, we are building a multi-layered ecosystem powered by AI Agents, personalized GPT models, and human-centric innovation.

Our Vision : “To unlock AIs potential for 1 Billion people.”

Key Responsibilities

  • Build and deploy agentic systems using n8n, Crew.AI, Google Agent-to-Agent protocols, or similar.
  • Design, orchestrate, and optimize enterprise-grade automation pipelines across ERP, CRM, WMS, and other applications.
  • Implement scalable integrations using Zapier, Make, or custom APIs for cross-platform workflows.
  • Work with Gen-AI APIs (OpenAI, Gemini, Anthropic, etc.) to power autonomous decision-making and user-facing experiences.
  • Apply prompt engineering best practices to reduce cost, increase accuracy, and optimize token usage.
  • Troubleshoot agent behaviors, debug failures, and ensure high-quality response consistency.
  • Maintain strong focus on data quality, application design principles, and process reliability.
  • Contribute to building internal IP via custom GPTs, LLM orchestration, and vector database-driven workflows.
  • Take responsibility from concept through production deployment, ensuring scalable outcomes for a global user base.

Required Qualifications

  • 5–7 years of experience in data-driven application development, process automation, or enterprise applications.
  • Strong Python programming and ML fundamentals understanding.
  • Experience integrating or working with ERP, CRM, WMS, or other enterprise systems.
  • 1–2 years hands-on experience with agentic frameworks (n8n, Crew.AI, Google A2A, AutoGen, etc.).
  • Solid grounding in application workflow design principles and automation orchestration.
  • Understanding of token usage, prompt efficiency, and Gen-AI cost management.
  • Knowledge of vector databases (FAISS, Pinecone, Weaviate, Milvus, etc.) for embeddings-based workflows.
  • Track record of delivering production-grade agentic automation in fast-paced environments.
  • Preferred Skills

  • Exposure to MLOps practices and CI / CD pipelines for automation.
  • Familiarity with multi-agent collaboration and advanced orchestration patterns.
  • Experience in data privacy, compliance, and secure AI workflows.
  • Understanding of UX considerations when deploying agentic systems to end-users.
  • Cloud experience with AWS, GCP, or Azure.
  • Who You Are

  • A builder mindset with passion for automation and AI agentic ecosystems.
  • Proactive and resourceful, able to take minimal direction and deliver outcomes.
  • Comfortable working across enterprise applications, AI APIs, and automation tools.
  • Excited to shape the future of autonomous AI agents in production at scale.
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