AI Agentic Engineer/ Builder

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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.