AI Lead Engineer

Quantox Technology

22h

About The Position

We are seeking an experienced AI Lead Engineer to drive the design, development, and implementation of AI-powered solutions across our internal and clients products. This role combines deep technical expertise in artificial intelligence with strong architectural thinking and leadership capabilities. The ideal candidate will be responsible for translating business problems into scalable AI systems, working closely with clients and internal teams, and gradually evolving into a broader technical leadership role overseeing full development teams.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
• 6+ years of software engineering experience
• 3+ years of hands-on experience in AI/ML development
• Strong understanding of: Machine learning fundamentals
• Model evaluation and metrics
• Data pipelines and preprocessing
• Experience with cloud environments (AWS, Azure, or GCP)
• Proven experience delivering production-grade AI systems
• Strong architectural and problem-solving mindset
• Ability to balance innovation with practical, business-driven solutions

Nice To Haves

• Experience with LLMs (OpenAI, Claude, open-source models)
• Computer vision (image classification, object detection)
• MLOps tools and pipelines
• Knowledge of vector databases, embeddings, and retrieval systems
• Familiarity with Python AI ecosystem (TensorFlow, PyTorch, etc.)

Responsibilities

• Design and implement AI-driven systems
• Define AI architecture, model selection, and data pipelines
• Integrate AI services into existing platforms and workflows
• Ensure performance, scalability, and reliability of AI systems
• Participate in discovery sessions to identify AI opportunities and define solutions
• Estimate effort, complexity, and feasibility of AI-based features
• Translate business requirements into AI/ML use cases and technical approaches
• Support sales and pre-sales activities with technical expertise and solution proposals
• Act as the main technical point of contact for AI-related topics
• Explain AI concepts and limitations clearly to non-technical stakeholders
• Define expectations around accuracy, performance, and model behavior
• Identify risks (data quality, bias, model drift) and propose mitigation strategies
• Lead and mentor engineers working on AI and data-driven features
• Establish best practices for AI development, experimentation, and deployment
• Collaborate with product managers, designers, and backend/frontend teams
• Participate in hiring, interviews, and team scaling
• Define standards for AI architecture, model lifecycle, and data handling
• Oversee model training, evaluation, deployment, and monitoring
• Ensure proper versioning, testing, and reproducibility of AI systems
• Stay up to date with emerging AI technologies, frameworks, and industry trends
• Gradually take ownership over wider system architecture beyond AI
• Contribute to full-stack and platform-level technical decisions
• Support and eventually lead cross-functional development teams
• Align AI strategy with overall engineering and business goals

Benefits

• Competitive compensation and performance-based bonuses
• Opportunity to build and shape AI capabilities within the company
• Clear path toward Technical Director / Head of Engineering roles
• Work on high-impact projects across industries including AI, fintech, automotive, and digital platforms
• Opportunity to represent the company at global tech and AI conferences
• Collaborative and fast-growing environment focused on innovation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior