<div>At NTG, we’re building the future by solving real-world problems with AI. Our group consists of three specialized companies, each pushing boundaries in its domain.</div>

Neuraleap Technologies Group

AI Engineering Lead
📍 Location: India (Hybrid / Remote) 💼 Experience: 6–10 Years 🏢 Company: Empliance Technologies Pvt. Ltd.
About Empliance
Empliance Technologies (ETPL) is an AI-native SaaS company building enterprise Governance, Risk &amp; Compliance (GRC) solutions. Our flagship platform, One Vision, enables organizations to automate Third-Party Risk Management (TPRM) through AI-powered document intelligence, vendor due diligence, risk assessments, and intelligent decision-making. Today, we serve 112+ enterprise customers, including many listed global businesses, helping compliance, procurement, legal, finance, and risk teams streamline complex workflows.
About the Role
We're looking for an exceptional AI Engineering Lead to help define the future of AI-native software development.
This is not a conventional engineering leadership role. You'll own two critical areas:
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Lead an AI-first software development lifecycle by orchestrating AI coding agents and establishing scalable engineering processes.
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Build intelligent, production-ready AI capabilities into our platform using LLMs, Retrieval-Augmented Generation (RAG), and agentic workflows.
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You'll work closely with the founders and have the opportunity to shape both our engineering practices and our AI product roadmap.
What You'll DoAI-Native Engineering
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Lead AI-agent-driven software development from specification to deployment.
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Build and optimise engineering workflows using AI coding assistants and autonomous development tools.
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Establish CI/CD pipelines, testing frameworks, deployment standards, and code quality practices.
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Develop repeatable playbooks, prompts, and documentation for AI-assisted development.
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Continuously improve engineering productivity, code quality, and delivery velocity.
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AI Product Development
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Design and build production-grade LLM applications using Google Vertex AI (Gemini).
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Develop Retrieval-Augmented Generation (RAG) pipelines and multi-agent workflows.
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Build intelligent document processing, evidence extraction, and AI-powered risk assessment capabilities.
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Create evaluation frameworks to monitor hallucinations, drift, accuracy, latency, and cost.
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Implement responsible AI practices including auditability, privacy, and human-in-the-loop controls.
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Technical Leadership
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Work across our technology stack:
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Node.js / Express
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Angular 18 / TypeScript
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MongoDB Atlas
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Redis
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Google Cloud Platform (Vertex AI)
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Ubuntu Linux
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nginx
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Drive production reliability, incident response, monitoring, and continuous platform improvement.
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Partner with leadership to define the long-term AI roadmap.
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What We're Looking ForRequired
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6–10 years of software engineering experience.
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Strong expertise in JavaScript/TypeScript and Node.js.
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Experience building production LLM applications.
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Hands-on experience with:
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Prompt Engineering
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RAG
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Embeddings
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Function Calling
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AI Agents
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Structured Outputs
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Experience using AI coding tools such as Cursor, Claude Code, Copilot Workspace, Devin, Manus, or similar.
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Strong understanding of CI/CD, Linux, REST APIs, system design, and secure engineering practices.
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Experience with Google Vertex AI, AWS Bedrock, or Azure OpenAI.
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Excellent written communication and technical documentation skills.
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Startup mindset with strong ownership.
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Nice to Have
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Experience in GRC, TPRM, Cybersecurity, FinTech, or regulated industries.
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MongoDB encryption and security best practices.
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OCR, Document AI, and PDF processing.
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LLM evaluation frameworks such as LangSmith or Langfuse.
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Prior Tech Lead or Engineering Manager experience.
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Open-source contributions or AI technical content.
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Why Join Us?
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Build AI products used by enterprise customers.
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Work directly with founders.
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Own both engineering strategy and AI product innovation.
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Build with the latest AI technologies including LLMs, RAG, and autonomous agents.
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Flexible Hybrid/Remote work model.
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High ownership and rapid career growth.
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If you're passionate about building reliable AI systems and believe the future of software development is AI-native, we'd love to hear from you.