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Role: Director of Engineering
Function: Engineering / Technology
Location: Bangalore, India
Type: Full-time
Industry: Information Technology & Services / Enterprise SaaS / AI / Corporate Housing
About Company
An AI Copilot for Workforce Housing, purpose-built for enterprises, relocation companies, and insurance carriers. The company's intelligent procurement platform streamlines sourcing, booking, and managing temporary accommodations globally.
It operates in the $50B+ corporate housing market, delivering speed, control, and cost-efficiency at scale. The company is a 14-person, seed-stage startup operating post-PMF with strong revenue traction.
It moves fast, builds with intention, and puts customers at the center of every decision. A collaborative, AI-driven environment where high-ownership individuals can grow quickly and shape the product from the ground up.
Position Overview
This role is the on-ground engineering leader in Bangalore, responsible for day-to-day team execution, culture, and delivery. Reporting directly to the CTO, you will manage a team of 5–10 engineers, drive sprint commitments, and partner with US-based product leadership on roadmap execution. The position carries a clear growth trajectory to VP/Director of Engineering as the company scales.
Role & Responsibilities
Must Have Criteria
Nice to Have
What We Offer
Job ID: 149375899
Skills:
Devops, Apis, Microservices, AWS, GenAI, RAG agent orchestration, tool-calling, event-driven systems, AI agents, cloud platforms, observability
Skills:
triton , Machine Learning, Deep Learning, Cuda, Tensorflow, Pytorch, Python, ExecuTorch, CUDNN, Inductor, MLIR, vLLM, TorchDynamo
Skills:
scalability testing , Node.js, Rdbms Concepts, Devops, Kafka, NoSQL database, CI/CD
Skills:
Deep Learning, Ml, Tensorflow, Pytorch, Information Retrieval, Python, LLMs, ranking, retrieval, scikit-learn, fine-tuning, Hugging Face, Governance, Indexing, RAG, Caching, batching, Statistical Modeling, prompt engineering, Experimental Design, recommendation systems, Evaluation
Skills:
Logging, Cloud Infrastructure, automation, AWS, end-to-end system architecture, AI tools and platforms, Security, LLMs, AI-first thinking, agent-based systems, Monitoring
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