
Engineering Manager
5 days ago
About PaladinAI
At Paladin Tech, we build AI-powered products that transform complex data into actionable insights. Our portfolio includes solutions for deepfake detection, video and image analytics, big data intelligence, AI assistants, and real-time decision support systems. We help organizations enhance security, verify authenticity, optimize operations, and drive measurable results through cutting-edge AI, ML, and Big Data Analytics.
Job Summary
We are seeking an experienced Engineering Manager (Full-Stack & AI/ML) to lead our engineering team at Paladin Tech. The ideal candidate will have a strong background in full-stack development and AI/ML technologies, with proven leadership skills to manage a cross-functional team. This role is responsible for driving the architecture, development, and delivery of our AI-powered product suite—including solutions in deepfake detection, video analytics, big data intelligence, AI assistants, and decision support systems. The Engineering Manager will play a critical role in shaping our technical vision, ensuring scalability, and delivering impactful solutions for global clients.
Key Responsibilities
- Lead, mentor, and grow a high-performing team of Full Stack and AI/ML Engineers.
- Oversee the design, development, and delivery of multiple AI-driven products (DeepGaze, Phonetic AI, Intellex, IntelliScan, IntelliView, AI Assistant).
- Establish and maintain engineering best practices across architecture, coding standards, testing, and CI/CD pipelines.
- Guide product integration of AI/ML models into scalable applications for enterprise clients.
- Collaborate with product, data science, and leadership teams to define technical roadmaps and ensure timely delivery.
- Ensure solutions are secure, scalable, and cost-efficient on cloud and hybrid infrastructures.
- Drive innovation by staying current with trends in AI, machine learning, and big data technologies.
- Contribute to hiring, team structuring, and strategic growth of the engineering organization.
Desired Skills & Experience
- 8+ years of software engineering experience, including 3+ years in a leadership/management role.
- Strong background in Full Stack Development (e.g., Python, , , microservices).
- Hands-on expertise in AI/ML: computer vision, NLP, data pipelines, and model deployment.
- Proficiency in cloud platforms (AWS/GCP/Azure), containerization (Docker, Kubernetes), and scalable infra.
- Experience leading agile teams and managing product lifecycles from concept to deployment.
- Strong communication, problem-solving, and stakeholder management skills.
- Ability to balance strategic leadership with hands-on technical contribution.
Nice to Have
- Experience in deepfake detection, video analytics, or big data platforms.
- Exposure to AI assistants or enterprise decision support tools.
- Background in cybersecurity, threat intelligence, or regulated industries.
- Prior success in scaling engineering teams within fast-paced startups.
What We Offer
- Opportunity to lead engineering for multiple cutting-edge AI products with global impact.
- A collaborative, innovative startup culture.
- Competitive compensation and career growth opportunities.
- A chance to shape the future of AI-driven decision intelligence.
Job Types: Full-time, Permanent
Work Location: In person
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