AI Assisted Technical Lead

Objectives and Responsibilities:

The AI Assisted Technical Lead leads a AI-augmented task force team which is responsible for AI coding environment setup project source codes review code base build up as well as coding / implementation for ad-hoc business requirements. This role would provide strategic oversight while ensuring seamless transition to assume code ownership.

technical lead plays a technical and managerial role where he oversees the activities of the AI assisted software engineer and DevOps engineer ensuring proper execution of their duties and alignment of all activities with the businesss overall vision and objectives.

role ensures that the team adopts best-in-class AI-assisted processes and techniques for code review architecture decisions and legacy modernization as well as leading the rollout of AI capabilities analytic frameworks and best practices.

technical lead ensures that the team is constantly building effective working relationships and delivering AI-enabled solutions that drive the business objectives.

technical lead also provides mentorship and guidance to team members while simultaneously guaranteeing code quality architectural integrity and compliance within the department.

technical lead will also play a technical leadership role researching designing implementing and deploying full-stack scalable AI-augmented development vision and solutions for various business issues and challenges.

technical lead also manages complex system dependencies discovering insights and identifying opportunities through the use of AI code agents architecture mapping and data visualization techniques.

technical lead also plays a strategic role where he is tasked with formulating new and creative ideas for leveraging AI tools (like Cursor Claude Code CodeRabbit etc.) to accelerate source code ownership transfer and lead solution development for various business needs (e.g. data reporting).

Required Qualifications:

AI Assisted Technical Lead must have a bachelors degree or above in Computer Science Software Engineering Information Systems or any other related technical field. An equivalent of the same in working experience is also acceptable for the position.

2.A candidate for this position must have had at least 5 years of working experience in a technical leadership or senior engineering capacity within a fast-paced and complex business setting preferably with experience in microservice based complex platform level solutions or handover projects.

candidate must have at least 5 years of experience in multiple coding stacks including Java python and mainstream development framework e.g. microservice development framework. Proficiency in mainstream database systems e.g. Hbase Mongo DB MySQL etc.

candidate will also be proficiency in working with AI coding agents and tools such as Cursor Claude Code CodeRabbit or similar generative AI development platforms.

candidate must also have had substantial experience in coding code review architecture decision-making and full-life cycle software development as well as experience working with modern DevOps and CI/CD tools.

6.A suitable candidate for this position will also have had experience in system architecture mapping dependency analysis and event-driven refactoring inclusive of legacy code migration projects.

candidate will also have had experience working with large-scale codebases as well as experience cleaning organizing and documenting complex technical environments.

working with GPT RAG and other Gen AI tech related to software engineering would be much preferred.

Communication skills are an absolute necessity both in written and verbal form especially when translating business requirements into design and other documents for AI coding / technical decisions.

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