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senior generative ai engineer

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

Trivium Technologies

We are looking for a Senior Full Stack Engineer with a heavy emphasis on AI/ML to join a high-growth US-based team. This is a role for an engineer who builds with scale in mind and stays on the bleeding edge of Generative AI.The Tech Stack:<ul><li>Backend: Node.js, Python (FastAPI/Django), Go.</li><li>Frontend: React, Next.js, TypeScript.</li><li>AI/ML: OpenAI API, LangChain, Pinecone, PyTorch, or TensorFlow.</li><li>Infrastructure: AWS/GCP, Docker, Kubernetes, CI/CD.</li></ul>The Profile:<ul><li>Experience: 5-8+ years in professional software development.</li><li>AI Expertise: Proven experience deploying AI models or building LLM-powered applications into production.</li><li>Remote Mastery: You thrive in an autonomous, remote environment and are comfortable with US-time zone synchronization.</li><li>Architectural Mindset: You don't just write code; you design systems that are secure, performant, and scalable.</li></ul>Note : Must have experience in closing US remote jobs leads. if don't have this experience please don't apply for the roleJob Type: Full-timePay: Rs200,000.00 - Rs500,000.00 per monthWork Location: In person

Senior Full Stack AI Engineer

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

Expert System Solution

About the RoleWe are seeking a Senior AI/ML Engineer with strong technical expertise and exceptional communication skills. The ideal candidate must be a closer, someone who can take ownership, deliver results, and confidently drive AI/ML solutions from concept to deployment.Key Responsibilities<ul><li>Design, develop, and deploy end-to-end AI/ML models and data pipelines.</li><li>Build predictive models, NLP solutions, and deep learning architectures.</li><li>Collaborate with cross-functional teams to understand business needs and deliver practical AI solutions.</li><li>Optimize model performance, scalability, and accuracy.</li><li>Conduct research on latest AI trends and implement relevant advancements.</li><li>Present findings, models, and results clearly to technical and non-technical stakeholders.</li><li>Lead critical problem-solving discussions and ensure timely closure of tasks.</li></ul>Requirements<ul><li>4+ years of hands-on experience in Machine Learning, AI model development, and data engineering.</li><li>Strong expertise in Python, TensorFlow/PyTorch, Scikit-Learn, NLP, Deep Learning, and Cloud (AWS/GCP/Azure).</li><li>Solid understanding of data structures, algorithms, statistical modeling, and MLOps frameworks.</li><li>Proven experience in building production-grade AI solutions.</li><li>Exceptional communication skills (must be able to explain complex ideas with clarity).</li><li>A results-driven mindset, must be a closer who takes ownership and delivers.</li></ul>Nice to Have<ul><li>Experience with LLMs, Generative AI, and model fine-tuning.</li><li>Experience in API integrations and microservices.</li><li>Exposure to data visualization tools and dashboards.</li></ul>Job Type: Full-timeWork Location: In person

AI/ML 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)

Phaedra Solutions

Job Title: AI-Augmented Quality Assurance EngineerLocation: Lahore (On-site) | Experience: 1&ndash;2 Years | Type: 6-Month Contract | Openings: 01Role OverviewPhaedra Solutions is seeking a detail-oriented and tech-savvy AI-Augmented Quality Assurance Engineer. This role is ideal for QA professionals with a strong foundation in standard testing protocols who are passionate about leveraging AI to boost accuracy and operational speed. You will take full ownership of the quality lifecycle, utilizing automation and generative AI as catalysts to strengthen product reliability and optimize testing workflows.Core Responsibilities (KPIs)Comprehensive Quality Management<ul><li>Analyze product requirements and user flows to architect robust, high-coverage testing strategies.</li><li>Design and execute diverse test suites, including functional, regression, usability, and exploratory testing.</li><li>Proactively identify high-risk areas and edge cases to maintain superior product standards.</li><li>Document software vulnerabilities with high precision, offering detailed reproduction steps and severity analysis.</li><li>Lead technical check-ins with clients to report on quality benchmarks and overall project stability.</li></ul>AI-Driven Optimization<ul><li>Embed generative AI platforms into the testing lifecycle to accelerate the creation of test cases and scenarios.</li><li>Deploy AI for intelligent log analysis, root cause identification (RCA), and automated script generation.</li><li>Utilize advanced tools for the automated synthesis of release notes and complex defect analysis.</li><li>Stay at the forefront of QA innovation by researching and adopting emerging AI-enhanced testing methodologies.</li></ul>Automation &amp; Technical Execution<ul><li>Develop and scale automated test suites using frameworks like Cypress, Playwright, or Selenium.</li><li>Execute API-level testing and automation using Postman, Newman, or AI-guided scripting.</li><li>Identify and convert repetitive manual processes into automated workflows to increase team velocity.</li><li>Supervise testing pipelines and version control within modern CI/CD environments.</li></ul>Strategic Collaboration<ul><li>Work alongside developers and product managers to ensure quality is integrated into every stage of the sprint.</li><li>Provide transparent communication regarding technical roadblocks and potential project risks.</li><li>Contribute actively to Agile rituals, including grooming, planning, and retrospective sessions.</li></ul>Candidate Requirements<ul><li>Academic Background: Degree in Computer Science, Software Engineering, or a technical equivalent.</li><li>Professional Experience: 1 to 2 years in a dedicated QA role covering both manual and automated domains.</li><li>AI Familiarity: Practical experience or a strong interest in integrating AI tools into testing workflows.</li><li>Technical Stack: Proficiency in automation frameworks (Cypress, Playwright, or Selenium) and languages such as JavaScript, Python, or Java.</li><li>QA Logic: Solid grasp of the bug lifecycle, risk-based testing, and modern test design patterns.</li><li>Communication: Strong interpersonal and writing skills for client-facing reporting and internal documentation.</li></ul>Why Join Phaedra Solutions?<ul><li>Pioneering Role: Work at the cutting edge where traditional engineering meets GenAI innovation.</li><li>Project Diversity: Gain exposure to various global client projects in a fast-paced agency setting.</li><li>Skill Advancement: Access a specialized career trajectory toward becoming a GenAI QA Expert.</li><li>Modern Culture: Thrive in a collaborative environment that values mentorship and forward-thinking logic.</li></ul>Job Types: Full-time, ContractWork Location: In person

Automation QA Engineer

Explore 752+ Senior generative ai engineer in Lahore this December. Find roles across top companies and apply now to boost your career.

752 senior generative ai engineer jobs IN Lahore

Senior Generative AI Engineer

Senior Generative AI Engineer

Senior Full Stack AI Engineer

GenAI Engineer

AI/ML Engineer

AI/ML Engineer (Animation Technology)

Automation QA Engineer