AI Engineer

• Review and evaluate AI-generated code across programming languages and software engineering scenarios.
• Assess code for correctness, reliability, security, scalability, readability, and maintainability.
• Identify bugs, logical errors, incomplete implementations, edge-case failures, and architectural weaknesses.
• Analyze unfamiliar codebases and understand the impact of proposed changes.
• Review bug fixes, feature implementations, refactoring, API integrations, configuration changes, and database operations.
• Compare alternative implementations and determine whether they satisfy technical requirements.
• Rewrite or improve code to create high-quality reference solutions.
• Provide clear technical explanations of identified issues and recommended improvements.
• Develop evaluation criteria, technical annotations, and rubrics for code-quality assessment.
• Collaborate with researchers and engineering teams to design coding benchmarks and improve LLM evaluation methodologies.

Senior Software Engineer – AI Code Evaluation

• Own end-to-end program delivery across scope, timelines, quality, throughput, contributor performance, and cost.
• Design and manage workflows for coding datasets, agentic trajectories, RL environments, benchmarks, and rubric-based evaluations.
• Identify operational bottlenecks and improve workflows through better instructions, sequencing, incentives, review systems, and capacity planning.
• Define contributor requirements and partner with talent teams to source, assess, onboard, train, and ramp distributed software engineers.
• Build team-lead and reviewer structures for programs involving 100–1,000+ contributors.
• Own quality-control systems and analyze datasets to identify trends, systematic errors, and root causes.
• Act as a primary customer contact for AI labs, communicating progress, risks, quality trends, and recovery plans.
• Translate research objectives into practical task specifications and challenge requirements when they may not produce the intended evaluation signal.
• Use Python, SQL, or similar tools to automate quality sampling, defect analysis, throughput reporting, and operational reviews.
• Convert successful workflows into reusable playbooks, quality controls, evaluation assets, and contributor-management systems.
• Share operational learnings and mentor other program leads.

Technical Program Operations Lead – AI Engineering

• Develop and implement machine learning models and algorithms
• Analyze large datasets to derive actionable insights and improve AI systems
• Collaborate with data scientists and software engineers to integrate AI functionalities into existing applications
• Research and implement the latest advancements in AI technologies and methodologies
• Monitor and evaluate AI model performance and make adjustments as necessary
• Provide technical support to other teams using AI solutions
• Document development processes, model designs, and results to ensure reproducibility and efficiency
• Participate in code reviews and share best practices
• Contribute to the company's AI initiatives strategy and direction

Principal AI Engineer

• Design and implement complex computer vision systems
• Build and improve algorithms for edge processing
• Implement cloud services and integrate them into end-to-end product features
• Evaluate and improve the performance of existing models and algorithms in production
• Conduct research and execute experiments to build new AI models and algorithms
• Build and optimize CV/ML algorithms for real-time performance on embedded platforms and next-generation AI dashcams
• Write Python and C++ code for CV algorithms, ML services, training, model compression, and porting pipelines
• Convert state-of-the-art research prototypes into reliable product features
• Collaborate with Embedded, Backend, Frontend, Hardware, QA, and broader AI teams
• Solve object detection, segmentation, recognition, and geometric computer vision problems
• Build automated deployment, validation, and active learning pipelines
• Mentor junior engineers and provide technical leadership on complex projects

AI Engineer jobs in Pakistan

Senior Software Engineer – AI Code Evaluation

Technical Program Operations Lead – AI Engineering

Principal AI Engineer

Senior AI Engineer