Leading the development and implementation of innovative software and web applications, ensuring they align with business objectives and user requirements.
Integrating new systems seamlessly with existing infrastructure, focusing on scalability, security, and continuous performance improvement.
Mentoring team members and providing technical training, fostering a collaborative environment for knowledge sharing and professional growth.
Collaborating with cross-functional teams to ensure successful application integration, advocating for best practices in software development.
Participating in or leading peer programming sessions, design sprints, or prototyping sessions.
Driving the creation, maintenance, and accessibility of comprehensive documentation for all development activities.
Monitoring application performance metrics rigorously, utilizing data to guide enhancements and ensure delivery aligns with project goals.
Providing expert technical advice and support to internal stakeholders and external partners, effectively communicating complex concepts.
Collaborating with the Quality Assurance team to confirm applications meet rigorous testing standards and fulfil technical requirements.
Requirements
6+ years of experience in software engineering, with strong focus on AI/ML systems in production.
Strong programming skills in Python (Go a plus).
Experience building and deploying Agents or LLM-based applications into production environments.
Experience with distributed systems and real-time inference architectures.
Knowledge of core AI domains such as NLP, recommendation systems, or time series modeling.
Experience with model lifecycle practices (evaluation, monitoring, retraining, and iteration).
Experience with cloud platforms (AWS, Azure, or GCP) and AI tooling ecosystems.
Ability to translate business problems into scalable AI solutions and drive implementation end-to-end.