full stack / Ai engineer

We are seeking a skilled AI Engineer to design, develop, evaluate, and maintain production-level AI models and applications. The ideal candidate will play a critical role in driving technical excellence, ensuring seamless integration of AI solutions with existing products, and collaborating closely with cross-functional teams to deliver reliable and high-performance AI systems.

Key Responsibilities

Technical Leadership: Define and establish technical designs, conduct thorough code reviews, provide guidance to engineering teams, and resolve complex technical challenges to ensure smooth project progress.

Product Integration: Integrate AI models with various services, APIs, data pipelines, and application components, ensuring cohesive and efficient system functionality.

Performance and Hardware Optimization: Benchmark and optimize model accuracy, throughput, latency, memory usage, and assess hardware suitability to meet production requirements.

Deployment and Reliability: Collaborate with DevOps teams on software releases, system monitoring, incident recovery, and resolution to maintain high availability and reliability of AI applications.

Quality and Security: Develop and maintain comprehensive test suites, enforce access controls, ensure approved data handling practices, and provide reproducible evidence for compliance and audit purposes.

Delivery and Reporting: Keep technical repositories up to date, maintain detailed documentation, track task progress, and manage effective handovers to support ongoing development and operational continuity.

Required Qualifications

- Proven experience in designing, building, and maintaining AI models and applications in a production environment.
- Strong programming skills in languages commonly used in AI development such as Python, and familiarity with relevant frameworks and libraries.
- Solid understanding of system architecture, APIs, and data integration techniques.
- Experience with performance benchmarking and hardware considerations for AI workloads.
- Knowledge of deployment processes, monitoring tools, and incident management practices.
- Commitment to quality assurance, security protocols, and data governance standards.
- Excellent communication skills and ability to lead technical discussions and mentor team members.

Preferred Qualifications and Benefits

While not explicitly stated, candidates with experience in DevOps collaboration, cloud-based AI services, and advanced machine learning techniques will be well-positioned to succeed. The role offers the opportunity to work on cutting-edge AI technologies in a dynamic environment, contributing to impactful products and solutions.

This position demands a proactive and detail-oriented professional capable of balancing technical depth with effective teamwork and project management. If you are passionate about advancing AI engineering and delivering robust, scalable AI systems, this role presents an excellent opportunity to grow and make a significant impact.