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Cogent Labs

<div>
 
 Cogent Labs is looking for a Senior Generative AI Engineer for Its Lahore office
 
 .
 
 
 
 Job Type: On-site
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and lead the development of LLM-based applications using cutting-edge frameworks for agentic workflows and system coordination
 </li>
 <li>
 Architect agentic and multi-agent systems to handle complex workflows
 </li>
 <li>
 Drive prompt engineering strategies and own the quality of model outputs
 </li>
 <li>
 Implement RAG pipelines, fine-tune LLMs, and manage inference at scale
 </li>
 <li>
 Collaborate with product, data, and engineering teams to integrate AI into production systems
 </li>
 <li>
 Mentor junior engineers, set engineering standards, and contribute to internal GenAI tooling
 </li>
 <li>
 Stay ahead of the curve on advancements in LLMs, GenAI architectures, and multimodal models
 </li>
 <li>
 Ensure models are secure, efficient, and compliant with responsible AI practices
 
 
 </li>
 </ul>
 
 Must-Haves
 
 
 
 <ul>
 <li>
 3+ years of professional experience in AI/ML, Backend, Data Science, Data Engineering or a related field
 </li>
 <li>
 At least 2 years of hands-on experience with:
 </li>
 <ul>
 <li>
 LangChain, LangGraph, and LangSmith
 </li>
 <li>
 Advanced Prompt engineering
 </li>
 <li>
 Multi-agentic systems (CrewAI, A2A etc.)
 </li>
 <li>
 Evaluation Framework(s)
 </li>
 <li>
 Advance Retrieval-Augmented Generation (RAG) and LLM fine-tuning
 </li>
 <li>
 Familiarity with MCP (Model Context Protocol)
 </li>
 </ul>
 <li>
 Strong Python expertise, especially in async programming, and background job processing
 </li>
 <li>
 You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure
 </li>
 <li>
 Proven ability to solve complex, non-trivial problems using LLMs and generative AI
 </li>
 <li>
 Solid understanding of transformer architecture and model optimization
 </li>
 <li>
 Experience with observability for GenAI Applications
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with multimodal models (e.g., vision + language)
 </li>
 <li>
 Experience with hosting and scaling self-hosted models
 </li>
 <li>
 Exposure to FastAPI, Django, or other API frameworks
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong communicator with leadership and mentoring skills
 </li>
 <li>
 Collaborative and able to turn abstract ideas into real solutions
 </li>
 <li>
 Proactive, self-driven, and thrives in fast-paced environments
 </li>
 <li>
 Self-accountability and the ability to set a higher bar for the team
 
 
 </li>
 </ul>
 
 Deal Breakers
 
 
 
 <ul>
 <li>
 No experience with GenAI
 </li>
 <li>
 No track record in prompt engineering or LLM-based applications
 
 
 </li>
 </ul>
 Attractive Perks
 
 
 <ul>
 <li>
 Daily lunch, performance bonuses, medical coverage, financial assistance, travel allowance and much more
 
 
 </li>
 </ul>
 Cultural Fit
 
 
 <ul>
 <li>
 Inclusive approach, high energy and integrity, Attention to detail
 </li>
 </ul>
</div>

Senior Generative AI Engineer

Cogent Labs is looking for a Senior Generative AI Engineer for Its Lahore office.Key Responsibilities<ul><li>Design and lead the development of LLM-based applications using cutting-edge frameworks for agentic workflows and system coordination</li><li>Architect agentic and multi-agent systems to handle complex workflows</li><li>Drive prompt engineering strategies and own the quality of model outputs</li><li>Implement RAG pipelines, fine-tune LLMs, and manage inference at scale</li><li>Collaborate with product, data, and engineering teams to integrate AI into production systems</li><li>Mentor junior engineers, set engineering standards, and contribute to internal GenAI tooling</li><li>Stay ahead of the curve on advancements in LLMs, GenAI architectures, and multimodal models</li><li>Ensure models are secure, efficient, and compliant with responsible AI practices</li></ul>Must-Haves<ul><li>3+ years of professional experience in AI/ML, Backend, Data Science, Data Engineering or a related field</li><li>At least 2 years of hands-on experience with:</li><li>LangChain, LangGraph, and LangSmith</li><li>Advanced Prompt engineering</li><li>Multi-agentic systems (CrewAI, A2A etc.)</li><li>Evaluation Framework(s)</li><li>Advance Retrieval-Augmented Generation (RAG) and LLM fine-tuning</li><li>Familiarity with MCP (Model Context Protocol)</li><li>Strong Python expertise, especially in async programming, and background job processing</li><li>You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure</li><li>Proven ability to solve complex, non-trivial problems using LLMs and generative AI</li><li>Solid understanding of transformer architecture and model optimization</li><li>Experience with observability for GenAI Applications</li></ul>Nice to Have<ul><li>Experience with multimodal models (e.g., vision + language)</li><li>Experience with hosting and scaling self-hosted models</li><li>Exposure to FastAPI, Django, or other API frameworks</li></ul>Soft Skills<ul><li>Strong communicator with leadership and mentoring skills</li><li>Collaborative and able to turn abstract ideas into real solutions</li><li>Proactive, self-driven, and thrives in fast-paced environments</li><li>Self-accountability and the ability to set a higher bar for the team</li></ul>Deal Breakers<ul><li>No experience with GenAI</li><li>No track record in prompt engineering or LLM-based applications</li></ul>Attractive Perks<ul><li>Daily lunch, performance bonuses, medical coverage, financial assistance, travel allowance and much more</li></ul>Cultural Fit<ul><li>Inclusive approach, high energy and integrity, Attention to detail</li></ul>Job Type: Full-timePay: From Rs200,000.00 per monthWork Location: In person

Tkxel

<div>
 
 We are looking for a
 
 Generative AI Engineer
 
 with 3+ years of hands-on experience in building AI-driven applications. The ideal candidate will have strong expertise in
 
 machine learning, deep learning, and large language models (LLMs)
 
 , with a passion for applying GenAI to solve real-world problems. You will collaborate with product, data science, and engineering teams to design, fine-tune, and deploy generative AI models at scale.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 
 Design, fine-tune, and deploy
 
 LLMs and other generative AI models
 
 for production use cases.
 
 
 </li>
 <li>
 
 Work with
 
 transformer architectures
 
 (GPT, BERT, LLaMA, etc.) for text, image, or multimodal tasks.
 
 
 </li>
 <li>
 
 Build
 
 end-to-end pipelines
 
 for training, inference, and evaluation of AI models.
 
 
 </li>
 <li>
 
 Implement
 
 prompt engineering, RAG (Retrieval-Augmented Generation), and model optimization
 
 for improved performance.
 
 
 </li>
 <li>
 
 Integrate GenAI capabilities into
 
 web, mobile, or enterprise applications
 
 .
 
 
 </li>
 <li>
 
 Leverage frameworks such as
 
 LangChain, Hugging Face, TensorFlow, PyTorch
 
 .
 
 
 </li>
 <li>
 
 Collaborate with backend/frontend teams to develop
 
 APIs and services
 
 that serve AI models.
 
 
 </li>
 <li>
 
 Ensure AI solutions meet
 
 scalability, latency, and security
 
 requirements.
 
 
 </li>
 <li>
 
 Research and stay updated on the latest advancements in
 
 Generative AI, LLMOps, and ML infrastructure
 
 .
 
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI/ML, Data Science, or related field.
 
 
 </li>
 <li>
 
 
 3+ years of experience
 
 in machine learning, NLP, or AI development.
 
 
 </li>
 <li>
 
 Proficiency in
 
 Python
 
 and libraries like
 
 PyTorch, TensorFlow, Hugging Face Transformers
 
 .
 
 
 </li>
 <li>
 
 Solid understanding of
 
 LLMs, embeddings, vector databases (Pinecone, Qdrant, Weaviate, FAISS)
 
 .
 
 
 </li>
 <li>
 
 Experience with
 
 RAG pipelines, fine-tuning, or prompt engineering
 
 .
 
 
 </li>
 <li>
 
 Familiarity with
 
 cloud platforms
 
 (AWS, GCP, Azure) for ML deployment.
 
 
 </li>
 <li>
 
 Strong knowledge of
 
 APIs, microservices, and containerization (Docker, Kubernetes)
 
 .
 
 
 
 </li>
 </ul>
 
 Preferred Skills (Nice to Have)
 
 
 
 
 <ul>
 <li>
 
 Experience with
 
 LangChain / LlamaIndex
 
 for AI application orchestration.
 
 
 </li>
 <li>
 
 Knowledge of
 
 MLOps / LLMOps pipelines
 
 .
 
 
 </li>
 <li>
 
 Exposure to
 
 multimodal AI
 
 (text, image, speech).
 
 
 </li>
 <li>
 
 Hands-on experience with
 
 vector search optimizations
 
 .
 
 
 </li>
 <li>
 
 Contributions to
 
 open-source AI projects
 
 .
 
 
 </li>
 </ul>
</div>

GenAI Engineer

Sharp Brains Ltd

Role Overview: AI/ML Engineer (Animation Technology)As an AI/ML Engineer within our Animation Department your mission is to bridge the gap between complex machine learning research and the creative production pipeline.Key Responsibilities<ul><li>Generative AI Development: Design and deploy GANs, Diffusion models, and Transformers specifically tailored for character animation, background synthesis, and texture generation.</li><li>Motion Synthesis &amp; Rigging: Develop ML-driven solutions for automated rigging, muscle simulation, and motion retargeting to create more fluid, lifelike character movements.</li><li>Pipeline Integration: Collaborate with Technical Directors (TDs) to integrate AI tools directly into industry-standard software like Maya, Houdini, or Unreal Engine.</li><li>Neural Rendering: Explore and implement Neural Radiance Fields (NeRFs) and other AI-driven rendering techniques to optimize lighting and look-development workflows.</li><li>Dataset Curation: Build and manage high-quality datasets derived from our internal library of motion capture and hand-keyed animation to train proprietary models.</li></ul>Core Requirements<ul><li>Technical Proficiency: Strong mastery of Python, PyTorch, or TensorFlow. Experience with C++ is a significant plus for high-performance tool integration.</li><li>Domain Knowledge: Solid understanding of 3D mathematics (linear algebra, quaternions) and the standard animation pipeline (Modeling $\rightarrow$ Rigging $\rightarrow$ Animation $\rightarrow$ Rendering).</li><li>ML Expertise: Proven experience in Computer Vision (CV), Deep Learning, and specifically Generative Modeling.</li></ul>Preferred Qualifications<ul><li>Experience with OpenUSD (Universal Scene Description).</li><li>Prior work with Real-time engines (Unreal Engine 5 / Unity).</li><li>A portfolio or GitHub showing projects related to style transfer, automated lip-syncing, or pose estimation.</li></ul>Job Type: Full-timePay: Rs75,000.00 - Rs85,000.00 per monthWork Location: In person

AI/ML Engineer (Animation Technology)

Techeezy

Company: SparkAiExperience: 4 to 5 yearsEmployment Type: Full-timeLocation: LahoreRole Overview:We are looking for a highly skilled Senior Python Developer with expertise - in Generative AI and Retrieval-Augmented Generation (RAG). The ideal candidate should have hands-on experience in LLMs, prompt engineering, vector databases, and AI-driven application development.Key Responsibilities<ul><li>Familiarity with Graph Databases like Neo4j</li><li>Develop and optimize LLM-powered applications using Python.</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines for AI-driven search and content generation.</li><li>Design and fine-tune prompt engineering strategies for better AI responses.</li><li>Integrate OpenAI, LangChain, Hugging Face, and other AI frameworks into scalable applications.</li><li>Optimize ML models and deployments using Docker, FastAPI, Flask, and other frameworks.</li><li>Collaborate with cross-functional teams to deliver AI-powered solutions.</li></ul>Requirements<ul><li>Experience in LLMs, OpenAI API, LangChain, Hugging Face</li><li>Proficiency in RAG</li><li>Understanding of NLP, embeddings, and knowledge graphs</li><li>Familiarity with cloud services (AWS, GCP, Azure)</li><li>Experience in API development (FastAPI, Flask, Django, Rest)</li><li>Knowledge of MLOps &amp; model deployment is a plus</li></ul>Please fill this form https://forms.gle/9d8XndUBqMtoZ5u18Job Type: Full-timeWork Location: In person

Sr. Python Developer

Senior AI Engineer

Sr. Backend Developer ( Gen AI and RAG )

Explore 563+ Generative ai engineer in Lahore this December. Find roles across top companies and apply now to boost your career.

563 generative ai engineer jobs IN Lahore

Senior Generative AI Engineer

Senior Generative AI Engineer

GenAI Engineer

AI/ML Engineer (Animation Technology)

Sr. Python Developer

Senior AI Engineer

Sr. Backend Developer ( Gen AI and RAG )