Role overview The Director of Software & AI Engineering leads the teams that build, ship and run Dentira's software products and the AI and machine learning systems inside them. You will own engineering strategy, delivery and quality across both disciplines, and turn AI from prototypes into reliable, secure, cost-effective features customers use every day. Company Description Dentira is a vertically integrated procurement platorm focused on the healthcare sector, backed by a leading venture capital firm. The company is experiencing rapid growth, scaling at over 100% quarter-on-quarter while already being revenue positive. Dentira builds technology that streamlines how healthcare organizations source and manage supplies, aiming to improve efficiency and reduce costs. Team members join a fast-paced, product-driven environment with significant opportunities for impact and ownership. The organization values innovation, data-driven decision-making, and collaborative problem-solving.

Key responsibilities
Strategy and technical direction
• Set the multi-year engineering and AI roadmap with Product, aligned to company goals and budget.
• Decide where to build, buy or partner for AI capabilities, including foundation models, vector stores and MLOps tooling.
• Own system architecture standards so software and AI components scale, interoperate and stay maintainable. AI and machine learning delivery
• Lead the full lifecycle of AI features: data, model selection, fine-tuning, retrieval, evaluation, deployment and monitoring.



Detail Value Reports to VP of Engineering / CTO Direct reports Engineering managers and staff-level engineers Team size 40 engineers across so-ware, ML and platform teams Location Hybrid Employment type Full-time
• Establish evaluation frameworks that measure model quality, latency, cost and safety before and after release.
• Run LLM and ML systems in production with clear SLOs, drift detection and rollback paths.
• Manage inference and training spend, with unit-cost targets per feature. Software engineering execution
• Deliver roadmap commitments on time through sound planning, prioritization and dependency management.
• Raise engineering quality through code review standards, automated testung, CI/CD and observability.
• Own reliability, incident response and post-incident learning for the products your teams run. People and leadership
• Hire, develop and retain engineering managers and senior engineers; build a diverse, high-performing organization.
• Set clear career paths, run performance reviews and coach managers to lead well.
• Build a culture of ownership, psychological safety and pragmatic experimentation. Responsible AI, security and compliance
• Put guardrails in place for privacy, security,



bias and misuse across AI systems.
• Partner with Legal, Security and Compliance on data governance and regulations such as the EU AI Act, GDPR and SOC 2. Cross-functional partnership
• Work with Product, Design, Data and go-to-market leaders to shape what gets built and why.
• Explain technical trade-offs and AI capabilities clearly to executives, customers and non-technical teams. Required qualifications
• 8+ years in so-ware engineering, including 5+ years managing engineering managers or multiple teams.
• 3+ years leading teams that shipped machine learning or LLM-based features to production at scale.
• Hands-on depth in modern architecture: distributed systems, cloud plaKorms (AWS, GCP or Azure), APIs and microservices.
• Working knowledge of the AI stack: LLM APIs and open-weight models, retrieval-augmented generation, embeddings, fine-tuning, model evaluation and MLOps.
• Track record of delivering complex programs on schedule while improving reliability and engineering quality.
• Experience hiring and growing teams of 20+ engineers, including building managers from within.
• Ability to own a budget, including cloud and model-inference costs.
• Clear wrijen and verbal communication with both technical and executive audiences.
• Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience. Compensation and advantages
• Base salary range: Competitive, plus annual bonus and equity

📌 Director of Software (India)
🏢 Dentira
📍 India