Technical Team Lead - AI Engineering Manager

Location: Pakistan
Work Mode: Remote
Employment: Full-time
Schedule: 8 hours per day, Monday to Friday, aligned with US working hours
Joining: Immediate availability preferred
Compensation: Based on experience
About the Role
We are looking for a hands-on AI Engineering Manager who can lead engineers, make credible technical decisions, and deliver production-ready software and AI systems for international clients.
This is not a coordination-only management role. You must be technically strong enough to inspect code, evaluate architecture, investigate failures, challenge weak solutions, and guide engineers toward reliable outcomes.
You should already use AI tools and agents extensively in your own work, not only for basic prompts or question answering. We want someone who understands how to use AI coding tools, automated workflows, and agentic systems to increase productivity while critically validating the results.
You will lead a delivery pod, understand the client’s business and technical goals, establish a clear execution plan, improve the team’s delivery rhythm, and communicate progress, risks, and decisions clearly.
Success means the client wants to continue working with the team because of what you deliver and how effectively you lead.
What You Will Own
Technical and AI Delivery
Lead the delivery of software, automation, and AI projects from discovery through production
Understand why each project exists and connect technical work to business outcomes
Inspect codebases, architectures, data flows, integrations, and deployment environments
Make credible technical decisions and challenge weak implementation choices
Investigate technical failures several levels deep and guide the team toward root-cause solutions
Review code, technical designs, testing approaches, and deployment plans
Ensure systems are reliable, secure, maintainable, and production-ready
Use AI tools and agents to improve your own output and the team’s delivery efficiency
Critically review AI-generated code, analysis, documentation, and recommendations
Identify opportunities to automate repetitive engineering and operational work
Project and Client Leadership
Gather context quickly across business goals, workflows, systems, data, and people
Ask strong questions when requirements or technical information are incomplete
Translate complex requirements into a clear visual delivery plan
Establish priorities, ownership, dependencies, milestones, and success criteria
Lead client kickoffs, technical discussions, delivery reviews, and risk conversations
Communicate progress, blockers, risks, and decisions clearly to US clients
Provide concise weekly delivery updates supported by evidence
Manage expectations honestly without hiding problems or overpromising
Build client trust through consistent delivery rather than sales pressure
Team Leadership
Lead a daily delivery rhythm across an engineering pod
Understand how each engineer works, where they are strongest, and where they need support
Identify workflow bottlenecks and remove obstacles affecting delivery
Raise the team’s pace through coaching, clarity, accountability, and ownership
Push for ambitious outcomes without creating unsustainable working practices
Give direct, constructive feedback and respond professionally to feedback yourself
Support demanding delivery periods while allowing the team to recover appropriately
Develop engineers who can eventually lead future projects or delivery pods
Create a working environment where people understand expectations and take ownership
Mandatory Requirements
Proven experience leading software or AI engineers
Demonstrated experience shipping software, automation, or AI systems into production
Strong hands-on technical ability with the confidence to inspect code and architecture
Ability to make credible decisions across engineering, integrations, data, infrastructure, and delivery
Practical experience using AI tools or agents to increase personal productivity
Ability to critically validate AI-generated outputs rather than accepting them blindly
Experience managing technical projects from discovery through production delivery
Strong understanding of software-development workflows, testing, deployment, and production support
Ability to gather context quickly and turn ambiguity into a concrete execution plan
Experience coaching engineers and improving team performance
Strong stakeholder-management and client-communication skills
Experience communicating with US or international clients
Professional spoken and written English
Ability to create concise technical documentation and visual delivery plans
Strong ownership, judgment, and problem-solving ability
Ability to work full-time during US-aligned working hours
Strongly Preferred
Experience leading engineering pods in a consulting, agency, or client-delivery environment
Experience delivering LLM applications, AI agents, workflow automations, or AI-enabled products
Familiarity with AI coding assistants and agentic development workflows
Experience with APIs, integrations, cloud infrastructure, data pipelines, or automation platforms
Experience managing multiple technical projects or engineering pods
Experience with architecture reviews, code reviews, production incidents, and root-cause analysis
Experience working in a fast-moving startup or high-growth environment
Ability to build reusable delivery systems, processes, and technical standards
Experience developing senior engineers or future engineering leaders
Ideal Candidate
You began as a strong individual contributor and learned that leading a team requires more than moving quickly yourself.
You know how to bring people with you, establish clarity, create accountability, and help engineers improve without micromanaging them.
You remain technically credible and comfortable going deep when something fails. At the same time, you can step back, understand the client’s business problem, and communicate the plan clearly to both technical and non-technical stakeholders.
You use AI as a serious productivity system. You understand its strengths and limitations, build repeatable workflows around it, and check its work critically.
You are ambitious about delivery, honest about risks, receptive to feedback, and capable of leading both the technical work and the people responsible for it.
What Success Looks Like
During Your First Week
Understand the client’s business goals and why the project exists
Meet the engineers and assess team strengths, responsibilities, and bottlenecks
Inspect the codebase, architecture, workflows, data, and delivery environment
Identify immediate risks, dependencies, and unresolved questions
Create and present a clear visual delivery plan
Establish ownership, priorities, milestones, and communication expectations
Ongoing
Run a consistent daily delivery rhythm
Keep projects moving and remove blockers quickly
Maintain technical quality while increasing delivery speed
Make progress, risks, and decisions visible to the client each week
Improve how the team uses AI tools and automated workflows
Coach engineers toward greater ownership and leadership
Build enough client trust that continued work becomes the natural next step

Work arrangement
Yes