Director of Engineering

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About Darwix AI

Darwix AI is a next-generation Gen-AI-powered sales enablement platform that empowers enterprise sales teams with intelligent nudges, real-time insights, and AI-driven conversation analytics. By combining AI, automation, and contextual intelligence, we are redefining how sales teams engage, close, and scale.

Backed by leading VCs and industry leaders, Darwix AI is one of the fastest-growing AI startups in India, with an expanding presence across MENA, India, and the US.

Role Overview

Director of Engineering

You will work closely with the Vice President of Engineering and Founders to drive engineering excellence, ensure timely delivery, and lead technical decision-making aligned with business goals.

Key Responsibilities

Engineering Leadership

• Lead engineering execution across backend services (Python, PHP), infrastructure, and DevOps.
• Define technical strategy and ensure alignment with product and organizational goals.
• Own the delivery roadmap and ensure timely and high-quality outputs.

System Architecture and Scalability

• Oversee backend architecture to ensure reliability, scalability, and performance.
• Guide the implementation of microservices, RESTful APIs, and scalable cloud-based infrastructure.
• Design and review systems with considerations for high-volume data ingestion and low-latency processing.

Team Management and Development

• Build, lead, and mentor a high-performing engineering team.
• Implement best practices for code quality, testing, deployment, and team collaboration.
• Foster a strong engineering culture focused on learning, execution, and accountability.

Cross-Functional Collaboration

• Collaborate with product, AI/ML, sales, and design teams to align engineering deliverables with business priorities.
• Translate product requirements into structured engineering plans and milestones.

Cloud Infrastructure and DevOps

• Work closely with the DevOps function to manage AWS cloud infrastructure, CI/CD pipelines, and security protocols.
• Ensure system uptime, data integrity, and disaster recovery preparedness.

AI Infrastructure Support

• Support integration with LLMs and AI/ML models.
• Lead initiatives involving vector databases (e.g., FAISS, Pinecone, Weaviate) and retrieval-augmented generation pipelines.

Qualifications

Education

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical discipline.
• Candidates from premier institutions (IITs, BITS, NITs) will be preferred.

Experience

• 8–12 years of progressive engineering experience with at least 3 years in a leadership role.
• Proven experience in building scalable backend systems and managing high-performing engineering teams.
• Strong exposure to Python and PHP/NodeJS in production-grade systems.
• Experience in designing and managing infrastructure on AWS or equivalent cloud platforms.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD systems.

Desirable Skills

• Experience working with vector databases, embeddings, and AI/ML deployment in production.
• Deep understanding of microservices architecture, event-driven systems, and RESTful API design.
• Strong communication and stakeholder management skills.

What We Offer

• Leadership role in a fast-scaling, venture-backed AI technology firm.
• Opportunity to work on large-scale AI applications in real-world enterprise environments.
• Competitive compensation including fixed salary, ESOPs, and performance-based bonuses.
• A high-performance culture that encourages ownership, innovation, and continuous learning.
• Direct collaboration with senior leadership on strategic initiatives.

Application Note:

This role demands both technical expertise and strategic foresight. We are looking for leaders who are comfortable building systems hands-on, mentoring teams, and ensuring consistent execution in a high-growth, high-ownership environment.