Technical Engineering Lead – AI & Agentic Systems
PakWheels.com
Date: 2 weeks ago
City: Lahore
Contract type: Full time
As an Technical Engineering Lead, you will lead a team of engineers while remaining hands-on in system architecture, software development, and AI initiatives. You will be responsible for driving technical excellence, mentoring engineers, shaping engineering best practices, and leading the development of AI-native and agentic solutions across PakWheels products and internal operations.
Key Responsibilities
Key Responsibilities
- Lead and mentor a team of software engineers, fostering a culture of ownership, innovation, and continuous improvement.
- Design, architect, and deliver scalable, secure, and high-performance software systems.
- Drive end-to-end execution of engineering projects from planning to deployment.
- Collaborate with Product Managers, Designers, Data Teams, and Business Stakeholders to deliver impactful solutions.
- Conduct code reviews and establish engineering standards, best practices, and development processes.
- Lead the adoption of AI-powered solutions and agentic workflows across products and internal operations.
- Design and implement autonomous and semi-autonomous AI agents to automate business processes and improve operational efficiency.
- Drive effective sprint planning, execution, and delivery to ensure predictable and on-time release of product features
- Support recruitment, onboarding, and performance management of engineering team members.
- Strong expertise in modern software development and system architecture.
- Hands-on experience with backend technologies such as Ruby, Node.js, Python, .NET, Java, or similar platforms.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong understanding of databases, APIs, microservices, distributed systems, and scalable architectures.
- Strong understanding of Prompt Engineering, AI Evaluation Frameworks, Agentic Workflows
- Familiarity with AI observability, monitoring, and governance practices.
- Strong understanding of CI/CD pipelines, DevOps principles, and engineering productivity tools.
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- 8+ years of software engineering experience.
- 3+ years of experience leading engineering teams.
- Proven experience delivering large-scale production systems.
- Demonstrated experience building and deploying AI-powered products or agentic solutions.
- Strong people management, coaching, and stakeholder management skills.
- Experience working in Agile/Scrum environments.
- A hands-on technical leader who can architect solutions and contribute to code when required.
- Someone who treats AI as a core capability rather than a standalone feature.
- A mentor who can develop high-performing engineering teams.
- Strong ownership mindset with a focus on execution and business impact.
- Excellent communication skills with the ability to influence both technical and non-technical stakeholders.
- Passion for innovation, automation, and continuous improvement.
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