Lead Engineer

2 weeks ago


India Zealant Consulting Group Full time

Job Description About The Role We are seeking a highly skilled Lead Engineer to drive the design, development, and scaling of our Generative AI products. In this role, you will set technical direction, own critical architectural decisions, and collaborate across teams to deliver AI-driven systems at scale. You'll balance hands-on coding with guiding best practices, ensuring our AI platforms are performant, reliable, and innovative. Team-Specific Focus Areas Conversation AI: - Build the AI Agent Builder to allow users to create customized agents for interacting with contacts via chat. Use cases include appointment booking, form filling, sales, and intent recognition - Scale DIY agent creation: multi-bot setups, prompt copilots, CRM & workflow actions, agent dashboards - Evolve the Agent Marketplace & Snapshots, enabling distribution at scale - Develop Conversation Insights for issue categorization and one click agent creation Voice AI - Build the AI Agent Builder to allow users to create customized agents for interacting with contacts via voice. Use cases include appointment booking, form filling, sales, and intent recognition - Evolve the Agent Marketplace & Snapshots, enabling distribution at scale - Focus on VOIP technology with an emphasis on low latency and high-quality voice interactions Agent Studio - Provide a builder platform for creating, configuring, and deploying workflow based AI-powered agents - Support visual and conversational workflows that connect to CRM, triggers, and custom actions - Maintain agent dashboards (per-agent and global views) for monitoring usage and performance - Build extensibility via custom actions, plugins, and APIs for external developers Knowledge Base - Scale ingestion pipelines: websites (crawling, auto-refresh), documents (PDF, DOC, HTML, TXT, Markdown), tables (CSV, e-commerce), and web search - Advance retrieval pipelines: chunking experimentation, reranking, knowledge graph integration, retrieval quality evaluations - Deliver Knowledge Analytics: gap detection, trends over time, labeling support tickets to dispositions - Automate content creation and refinement: draft articles from tickets, suggest edits, AI-written FAQs Ask AI - Build a centralized AI platform with a common frontend, consistent UX, and a framework for future agents (Funnels AI, Workflows AI, Email Builder, Planner, etc.) - Develop Planner & Executor agents to plan multi-step goals and intelligently execute them using workflows and context - Launch and scale specialized agents for email, social media, ads, messaging, sales, reputation management, and content creation - Integrate with Agent Studio, Voice, and extend through the MCP server with 200+ tools and connectors - Ensure usage tracking, feedback, and billing readiness to support scale and monetization Responsibilities - Architecture - Design the architecture and make sure it is cost-efficient and aligned to the overall architectural vision - Implementation - Implementing major/complex parts of the product - Ownership - Take ownership of the delivery timeline and coordinate the complete development of products - Releases - Take ownership of the product releases, pre-plan and scale the infrastructure accordingly - Leadership - Communicate clear goals, provide constructive feedback, manage, coach, and support the engineering team - Quality - Maintain high standards of code quality through regular design and code reviews Requirements - Proven expertise in architecting and scaling AI Agent platforms with measurable adoption - Strong knowledge of RAG pipelines (retrieval optimization, reranking, chunking, knowledge graphs) - Deep experience with conversational AI systems and evaluation frameworks - Track record of scaling services to 200K+ MAUs (or equivalent scale) - 4+ years of engineering experience, with demonstrated leadership in technical decision-making - Strong communication skills and ability to collaborate across engineering, product, and design - Bachelor's degree or equivalent in Computer Science, Engineering, or related field - Experience in Node.js and modern front-end frameworks (Vue.js/React/Angular) is a plus Skills: ai agent,node.js,rag,javascript frameworks


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