Senior AI Engineer (EC-65)

We are seeking an experienced Senior AI Engineer with strong expertise in production AI and machine learning, generative AI, and cloud-native software engineering, together with excellent leadership, collaboration, communication, and stakeholder-management skills, to join a cross-functional engineering team. The successful candidate will provide hands-on technical leadership while owning the architecture, development, deployment, and continuous improvement of secure, scalable, high-performance AI systems that support business-critical products and workflows.

This role combines advanced AI engineering, solution design, technical decision-making, delivery ownership, mentoring, and responsible AI practices. You will work closely with product leaders, architects, software and data engineers, security specialists, and business stakeholders to translate complex requirements into reliable, maintainable, and cloud-ready solutions. You will also guide the effective adoption of AI-assisted engineering tools to accelerate development, testing, debugging, evaluation, and documentation while ensuring that generated outputs meet established standards for architecture, correctness, security, maintainability, and quality.

Key Responsibilities

• Lead the design and implementation of scalable AI, machine learning, and generative AI platforms.
• Translate complex product and business requirements into practical AI architectures and delivery plans.
• Design production grade solutions using large language models, retrieval augmented generation, embeddings, vector databases, AI agents, and multimodal models.
• Lead model selection, experimentation, fine tuning, evaluation, deployment, and monitoring.
• Build reliable APIs, microservices, data pipelines, orchestration layers, and cloud based AI infrastructure.
• Define and review secure integration patterns using OAuth or comparable authorization flows, safe token handling, and webhooks.
• Establish engineering standards for model quality, observability, security, privacy, governance, rate limiting, retries, structured logging, memory and state management, and cost monitoring.
• Evaluate commercial and open source AI models, frameworks, and platforms.
• Diagnose model and system failures and lead improvements to accuracy, scalability, resilience, and performance.
• Provide technical leadership through architecture reviews, code reviews, design guidance, and mentoring.
• Partner with product managers, data scientists, software engineers, security teams, and senior business stakeholders.
• Identify AI opportunities, assess feasibility and risk, and support roadmap and investment decisions.
• Promote responsible AI practices throughout the development lifecycle.

Required Qualifications

• Bachelor's or master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Mathematics, or a related discipline, or equivalent practical experience.
• At least 6 years of professional software engineering experience.
• Approximately 3 to 4 years of hands on AI or machine learning experience, including production deployment.
• Advanced programming skills in Python.
• Strong proficiency in at least one additional language such as Java, C++, C#, JavaScript, TypeScript, or Go.
• Strong experience with PyTorch, TensorFlow, scikit-learn, or comparable machine learning frameworks.
• Demonstrated experience building production generative AI solutions involving large language models, retrieval augmented generation, embeddings, vector search, model evaluation, or AI agents.
• Strong knowledge of API design, microservices, distributed systems, databases, data pipelines, and cloud architecture.
• Experience with AWS, Microsoft Azure, or Google Cloud and their associated AI services.
• Experience with MLOps practices, including continuous integration and delivery, model versioning, deployment, monitoring, and observability.
• Ability to make sound architecture decisions and communicate technical tradeoffs clearly.
• Demonstrated experience mentoring engineers or providing technical leadership across projects.

Preferred Qualifications

• Experience fine tuning, optimizing, or serving foundation models.
• Knowledge of multimodal AI, computer vision, natural language processing, recommendation systems, or real time AI.
• Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or a comparable agent and orchestration framework.
• Experience designing or developing Model Context Protocol servers and reusable connectors.
• Experience with Docker, Kubernetes, GPU workloads, distributed training, or high throughput model serving.
• Understanding of AI governance, security, privacy, bias, explainability, and regulatory considerations.
• Experience leading AI products from initial concept through production adoption.
• Relevant cloud, machine learning, or AI certifications.

Leadership Expectations

• Provide technical direction while remaining actively involved in implementation.
• Balance model quality with product value, reliability, security, delivery speed, and operating cost.
• Develop other engineers through practical guidance, constructive feedback, and consistent engineering standards.

Established in 2006, Eyepax is a global technology consulting company headquartered in Singapore, delivering enterprise software, AI-powered applications, cloud solutions, digital transformation initiatives, and product engineering services to clients across multiple industries worldwide.

With a dedicated workforce of over 180 professionals, Eyepax operates its main development hubs in Sri Lanka and Vietnam, supported by sales offices in Sweden, the United States, and France. Our global presence enables us to work closely with clients across diverse industries and geographies while leveraging the capabilities of our international engineering teams.

At Eyepax, we foster a dynamic workplace built around a culture of continuous improvement. Coaching, transferable skill development, scientific problem-solving, and global exposure are integral to our work culture, enabling our people to continuously grow while delivering high-quality and innovative solutions to our clients.