AVP - Technology & AI Engineering

Job Title: AVP- Technology & AI Engineering

Experience Required: 7-10 years

Location: Bengaluru, KR

Core Responsibilities:

1. End-to-End Project & Team Leadership

• Total Ownership: Drive projects from experimental POCs to stable, enterprise-grade production software, managing both the technical lifecycle and the engineering personnel.
• Team Growth & Efficiency: Mentor a cross-functional team of developers while actively identifying and implementing AI tools (e.g., AI coding assistants, automated code reviews, intelligent CI/CD) to supercharge team productivity and operational efficiency.

2. Engineering Leadership (Java, Node.js, Angular)

• Full Stack Oversight: Architect and drive the development of high-concurrency, enterprise-grade backends utilizing Java and Nodejs.
• Frontend Excellen
  
  ce: Oversee the creation of sleek, intuitive, and highly responsive user interfaces optimized for AI-driven experiences using Angular.
• Security & Scalability: Ensure all applications and AI agents integrate seamlessly into enterprise workflows while adhering to strict data privacy, RBAC, and security protocols.

3. AI Strategy & Architecture

• Bridge the Gap: Design the end-to-end architecture that connects sophisticated ML models to our Java/Node.js backend systems.
• Orchestration & Data Strategy: Lead the implementation of advanced LLM/AI orchestration frameworks (LangChain, LlamaIndex) and architect Retrieval-Augmented Generation (RAG) systems utilizing Vector Databases (e.g., Pinecone, Weaviate, Milvus).

4. Strategic Mentorship & Stakeholder Management

• Business Translation: Act as the technical translator, converting complex AI capabilities into clear business value and ROI for non-technical stakeholders and executive leadership.

Skills & Technologies required:

• Backend Engineering: Deep, hands-on expertise in Node.js and Java for building robust microservices and API layers.
• Frontend Engineering

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  : Strong proficiency in building scalable user interfaces with Angular.
• AI / ML Ecosystem: Knowledge of LLM Orchestration (LangChain, LlamaIndex), RAG, and Vector DBs. Experience in model fine-tuning, semantic chunking, and evaluation.
• Dev Productivity: Experience implementing AI-driven development tools to enhance team coding efficiency and output.

Qualifications:

• Experience: 7-10 years in software engineering, with strong, proven experience specifically in Node.js, and Angular. At least 3+ years focused on deploying AI/ML models into production.
• Leadership: Proven track record of leading technical teams, managing the full product development lifecycle end-to-end, and improving team KPIs.
• The Edge: You possess the rare ability to think like a researcher when solving logic problems, a Product Manager when building user interfaces, and an agile coach when optimizing your teams workflow with AI.

Key Deliverables (First 6-12 Months):

• Deploy a suite of scalable AI Agents that automate core enterprise workflows natively integrated with our Node.js/Java/Angular stack.
• Standardize the companys RAG Architecture for consistent, hallucination-free knowledge retrieval.
• Audit internal engineering workflows and deploy AI-assisted development tools to measurably increase team sprint velocity and code quality.