Director of Engineering

Role Overview

We are looking for a hands-on
Director of Engineering to lead the design, development, and scaling of AI-first products and platforms. This role sits at the intersection of
engineering execution, architecture, AI-driven product thinking, and cross-functional leadership .

This is a high-ownership role for someone who enjoys building real systems that ship and scale-not just managing teams or conducting research.

Key Responsibilities

1. AI-First System Design . Product Thinking

• Drive AI-first thinking across product, workflows, and user experience

• Lead adoption of

LLMs, agent-based systems, and automation
across internal and external products

• Evaluate AI tools and platforms (build vs. buy decisions)

• Ensure responsible AI usage (privacy, reliability, and trust)

2. Engineering . Architecture

• Own end-to-end system architecture (backend, frontend, mobile, AI layers)

• Design scalable, modular, and future-ready systems

• Review code and architecture for performance, security, and maintainability

• Balance rapid delivery with long-term technical quality

3. Infrastructure, DevOps . Reliability

• Own cloud infrastructure (AWS), deployments, and cost optimization

• Build reliable systems for AI workloads (latency, throughput, observability)

• Establish best practices for CI/CD, monitoring, logging, and security

• Ensure production readiness of AI systems (fallbacks, guardrails, evaluations)

4. Team Leadership

• Lead, mentor, and grow a high-performing engineering team

• Set engineering standards and elevate code quality

• Drive adoption of AI tools within the engineering workflow

• Hire engineers with strong technical and AI-first mindset

5. Cross-Functional Collaboration

• Partner with Product, Design, Sales, and Marketing teams

• Translate business needs into scalable technical solutions

• Clearly communicate technical trade-offs to non-technical stakeholders

• Contribute to roadmap planning with a focus on impact and feasibility

6. Business . Operational Awareness

• Understand the full lifecycle of an AI-driven startup (product, GTM, sales, support)

• Contribute to vendor, tooling, and cloud cost decisions

• Operate with a strong ownership mindset beyond engineering

Ideal Candidate Profile

• 10. years of experience in engineering

• Experience across

both corporate and startup environments

• Strong hands-on expertise (backend or full-stack preferred)

• Proven ownership in a Series A/B startup

• Experience building and deploying AI-powered systems

• Comfortable with infrastructure, DevOps, and production systems

• Strong communicator with business and product alignment

• Pragmatic, decisive, and execution-focused

What This Role Is

• A high-impact leadership role with direct influence on product and architecture

• Ideal for someone who sees AI as a

**core system primitive
, not just a feature