AI Agentic Engineer/ Builder

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.