Job Description: Assistant Vice President (AVP) – AI Engineering & Solutions
Location: Bengaluru
The Vision
We are seeking an exceptional engineering leader to architect our AI strategy and drive end-to-end project execution, from frontend user interfaces to robust backend infrastructure and deployments. Sitting at the intersection of cutting-edge LLM research and full-stack engineering, you will build scalable, secure AI agents for our enterprise while simultaneously championing internal innovation—actively integrating AI tools into our daily workflows to drastically boost the performance, efficiency, and velocity of our engineering teams.
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 Node.js.
● Frontend Excellence: 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.
Required Technical Expertise
Category Skills & Technologies
Backend Engineering
Deep, hands-on expertise in Node.js and Java for building robust microservices and API layers.
Frontend Engineering
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 team's 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 company's 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.
Algebrik-AVP Technology • Bangalore, India
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