About the Role

We’re looking for a VP Engineering – Generative AI Applications to lead the design, build, and scale of ML- and GenAI-powered production systems at Naukri.com. You will drive end-to-end execution of agentic applications (multi-agent workflows), RAG-based systems, and LLM-powered experiences that directly impact hiring outcomes for recruiters and jobseekers.
This is a hands-on leadership role: you will shape architecture, guide technical decisions, and lead high-performing teams delivering reliable, scalable, and measurable GenAI products.
Responsibilities
Own engineering delivery for GenAI application initiatives: from problem definition to production rollout and iteration.
Lead development of agentic applications (multi-step reasoning/workflows) with robust orchestration, safety, evaluation, and monitoring.
Build and scale RAG systems (retrieval, ranking, context construction, grounding, citations, hallucination control) for text-heavy domains.
Drive best practices for prompt engineering, tool-use patterns, function calling, guardrails, and quality loops.
Partner with Product/Business stakeholders to define success metrics, SLAs, and measurable outcomes (quality, latency, cost, conversion).
Establish engineering excellence around scalable backend systems: APIs, workflow engines, async systems, reliability, observability, and cost controls.
Hire, mentor, and manage a team of engineers and ML practitioners; build a culture of ownership, speed, and quality.
Collaborate with platform/data/search teams for feature stores, data pipelines, indexing, retrieval, experimentation, and evaluation frameworks.
Qualifications




Strong experience in building ML-powered production applications (end-to-end).
Strong hands-on experience with Python and modern ML development practices.
Proven expertise in NLP / text data (classification, extraction, embeddings, semantic matching, etc.).
Experience building or leading teams delivering Generative AI applications and/or agentic systems.
4+ years of people management experience (hiring, mentoring, performance management).
Practical experience with:
o Machine Learning, Deep Learning, Generative AI
o Prompt engineering, RAG, tool use/function calling
o Scalable backend systems (APIs, services, distributed systems, async patterns)
o SQL databases (any) and NoSQL (at least one)
Good-to-Have Skills
Experience with search datastores like Elasticsearch / Solr / Vespa
Background in Information Retrieval (ranking, relevance, query understanding)
Experience with Vector Search and hybrid retrieval (BM25 + embeddings)
Experience managing remote / distributed teams (multi-location, async collaboration, outcomes-based execution)
Preferred Traits (What We Value)
Strong product sense: you can translate ambiguous problems into shippable milestones.
Engineering rigor: you care about reliability, observability, evaluation, and operational excellence.
Comfortable operating in fast-moving environments with high ownership and accountability.
Ability to communicate clearly with stakeholders across engineering, product, and leadership.
Why Info Edge / Naukri.com
Work on large-scale, high-impact systems shaping the future of hiring.
Prospect to lead applied GenAI innovation with meaningful data, reach, and business outcomes.
Collaborate with strong teams across platform, data, ML, and product.

📌 Technical Architect - VP Engineering (Uttar Pradesh)
🏢 Info Edge
📍 Uttar Pradesh