AI Engineering Team Lead

About the Company
CodeNinja is a global technology and AI firm with 10+ years in the industry, helping enterprises modernize systems and embed AI into their workflows. We work across enterprise software, financial services, defense, health, logistics, and more, with 240+ clients across 15 countries. We partner with organizations to deliver AI infrastructure, dedicated engineering teams, and forward-deployed engineers who work directly inside client environments to own outcomes.

About the role

The AI Engineering Team Lead is a senior, hands-on engineering leader responsible for delivering high-impact, AI-enabled software while guiding a small team of AI Engineers. This role combines deep individual contribution with day-to-day technical leadership, ensuring that AI is applied effectively, responsibly, and at production scale.

This is not a management-heavy or research-oriented role. Team Leads remain deeply involved in building systems, writing code, and applying AI directly to real problems, while also mentoring engineers and maintaining a high bar for execution.

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Deep, hands-on experience designing and operating agentic AI systems in production, including autonomous tool use and multi-step workflows.
Strong mastery of Model Context Protocols (MCPs) or equivalent approaches, including defining and enforcing patterns used by a team.
Strong technical understanding of AI models, including:
o Model names, versions, and parameter scales
o Context window limitations and strategies
o System prompts vs. user prompts
o Trade-offs between models (latency, cost, reasoning quality, reliability)
Experience working with both frontier and open-source models, and making informed decisions between them. \
Proven experience scaling AI systems, addressing latency, cost optimization, caching, parallelization, and architecture trade-offs.

Why Join Us

• Build quality systems for real-world AI-enabled products, including LLM evaluations and reliability guardrails.
• Own feature-level quality end-to-end: from test strategy to CI/CD quality gates to production readiness.
• Work with strong cross-functional teams across Engineering, Product, and AI stakeholders in an Agile environment.
• Grow in modern quality engineering practices: observability, automation frameworks, shift-left testing, and AI evaluation patterns.

Disclaimer: CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, & performance. Female and minorities are strongly encouraged and preferred to apply for the role

• • Provident Fund (PF)
• • Medical Insurance (Pakistan): Coverage includes spouse and parents up to the age of 80.
  • Life Insurance
• • Performance-Based Increment
• • 32 Paid Leaves (Annual)
• • Easy Loan Facility
• • Company-Sponsored Trips
• • Gym Passport Membership (Access To 250+ Gyms)