AI Agentic Engineer/ Builder
4 days ago
Location: Noida/Delhi NCRType: Full-timeAt 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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