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>
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 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>
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 Advanced Prompt engineering
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 Multi-agentic systems (CrewAI, A2A etc.)
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 Evaluation Framework(s)
 </li>
 <li>
 Advance Retrieval-Augmented Generation (RAG) and LLM fine-tuning
 </li>
 <li>
 Familiarity with MCP (Model Context Protocol)
 </li>
 </ul>
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 Strong Python expertise, especially in async programming, and background job processing
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 You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure
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 Proven ability to solve complex, non-trivial problems using LLMs and generative AI
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 Solid understanding of transformer architecture and model optimization
 </li>
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 Experience with observability for GenAI Applications
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with multimodal models (e.g., vision + language)
 </li>
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 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
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 Collaborative and able to turn abstract ideas into real solutions
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 <li>
 Proactive, self-driven, and thrives in fast-paced environments
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 Self-accountability and the ability to set a higher bar for the team
 
 
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 </ul>
 
 Deal Breakers
 
 
 
 <ul>
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 No experience with GenAI
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 No track record in prompt engineering or LLM-based applications
 
 
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 </ul>
 Attractive Perks
 
 
 <ul>
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 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

DevShine

Job Title: Generative AI Engineer Location: Kohinoor City, Kohinoor One, 2nd Floor, Office #27 (On-site) Company: DevShine Pvt Ltd Website: devshineteam.comAbout UsAt DevShine, we build intelligent, data-powered products that blend traditional software engineering with cutting-edge generative AI. We&rsquo;re a lean, results-driven team shipping real-world AI systems&mdash;from physician note summarization to dynamic recommendation engines&mdash;and we&rsquo;re looking for a hands-on engineer to level up our RAG and agent-based workflows.What You&rsquo;ll Do<ul><li>Design, implement, and optimize production-grade RAG pipelines with real-time data sources</li><li>Build and orchestrate multi-agent workflows using LangGraph</li><li>Engineer robust prompts and evaluate their performance across diverse LLMs</li><li>Fine-tune and train AI models for domain-specific tasks (e.g., summarization, retrieval, classification)</li><li>Collaborate closely with product and engineering to ship scalable, maintainable AI features</li></ul>Must-Have Qualifications<ul><li>2+ years of hands-on experience in generative AI or applied ML engineering</li><li>Proven track record building and deploying RAG systems in production</li><li>Deep fluency in Python and modern AI/ML tooling (e.g., LangChain, LangGraph, LlamaIndex)</li><li>Experience in prompt engineering, evaluation, and optimization</li><li>Practical experience training or fine-tuning AI models (instruction tuning, LoRA, quantization, etc.)</li><li>Comfortable owning projects end-to-end&mdash;from prototyping to deployment and support</li></ul>Nice-to-Haves<ul><li>Experience with vector databases (Qdrant, Pinecone, Weaviate)</li><li>Background in NLP or information retrieval</li><li>Contributions to open-source AI projects</li></ul>Why Join?<ul><li>Work on high-impact AI products used in real-world settings</li><li>12-hour daily overlap for smooth, async-friendly collaboration</li><li>One month of post-delivery bug support included in every project&mdash;you ship it, you own it</li><li>Founder-led culture focused on usability, scalability, and long-term impact</li></ul>Apply now and help us shape the next generation of intelligent software. Visit us at devshineteam.com to learn more.Job Type: Full-timePay: Rs50,000.00 - Rs200,000.00 per monthAbility to commute/relocate:<ul><li>Faisalabad: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>What is your expected salary ?</li><li>do not apply if u are fresher</li><li>Do u have experience with web scraping ?</li></ul>Experience:<ul><li>production: 2 years (Preferred)</li></ul>

Generative AI Engineer python

Zepp Health

<div>
 
 
 Job Title:
 
 NLP/ML/AI Engineer - Generative Modeling
 
 
 
 Location:
 
 Turkey (Istanbul)
 
 
 
 Introduction
 
 : Zepp Health (NYSE: ZEPP) is a global smart wearable and health technology leader that empowers users to live their healthiest lives by optimizing their health, fitness, and wellness journeys through its leading brands such as Amazfit, Zepp Clarity and Zepp Aura. Our Big Data and Cloud team is building world-class applications such as Zepp Coach (an AI-powered feature that offers tailored guidance to help users train more scientifically) and Zepp Aura (an innovative rest and mindfulness solution that provides users with dynamic tools to enjoy deeper sleep, improve their mental well-being and lead a more joyful life).
 
 
 
 
 
 
 Position:
 
 We are seeking a highly skilled and motivated NLP/ML/AI engineer to join our team in developing cutting-edge AIGC applications. The successful candidate will play a key role in developing state-of-the-art AI systems, conducting model fine-tuning, evaluating performance, and implementing data-driven optimizations.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Participate in the design and implementation of state-of-the-art AIGC applications.
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 Conduct fine-tuning for customized models to optimize performance.
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 Evaluate model performance and implement data-driven optimizations to enhance accuracy and efficiency.
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 Collaborate with cross-functional teams to define strategic roadmaps for AI/NLP projects.
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 Stay updated with industry advancements and incorporate innovative techniques into our applications.
 </li>
 </ul>
 
 
 Required
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or a related field.
 </li>
 <li>
 8+ years of industry experience in building NLP systems and applications.
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 Proficiency in Python and experience with frameworks such as PyTorch/TensorFlow.
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 Strong theoretical understanding of deep learning and NLP fundamentals.
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 Experience with fine tuning and serving deep neural networks.
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 Exceptional problem-solving skills and an analytical mindset.
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 Ability to thrive in a remote work environment while effectively collaborating with the team.
 </li>
 </ul>
 
 
 
 
 We are excited to welcome passionate individuals who can contribute to our AI-powered innovations. If you have the required qualifications and a drive to make a difference in the field of AI, we encourage you to apply today!
 
</div>

Generative AI Engineer

Muks Robotics LLP

Job Title: Physical AI Engineer / Generative AI EngineerCompany: Muks Robotics AI Pvt. Ltd.Website: https://muksrobotics.com/Location: Baner, PuneExperience: 2-3 yearsAbout the Role :As a Physical AI Engineer / Generative AI Engineer, you will be responsible for integrating LLMs, VLMs, and VLA models directly onto our humanoid robots, enabling real-time perception, reasoning, control, and manipulation. This is a highly hands-on role involving robots, sensors, actuators, embedded compute, and full-stack AI pipelines.Key Responsibilities:1. AI Integration &amp; Deployment● Deploy and adapt LLM/VLM/VLA models on edge platforms like Jetson Orin, Nvidia GPUs and ARM-based hardware. ● Connect AI outputs to robot software pipelines for task execution and interaction. ● Optimize models for speed, reliability, and on-device inference.2. Perception &amp; Sensing● Build vision and multimodal perception modules for scene understanding, grounding, and pose estimation. ● Combine data from cameras, force/torque sensors, tactile sensors, and robot joints. ● Implement lightweight memory/continuity modules for stable task performance.3. Control &amp; Execution● Link high-level AI decisions with motion controllers for manipulation, locomotion, and coordinated actions. ● Validate behaviors generated by AI models and refine parameters for smooth, safe operation. ● Handle timing, safety checks, and real-time control loops.4. Experimentation &amp; Hardware Work● Run hands-on tests on humanoid robots for tasks like pick/place, handovers, and tool usage. ● Work on low-latency communication between hardware components (ROS/ROS2, CAN, serial protocols). ● Diagnose issues across sensors, actuators, drivers, and communication interfaces. ● Set up logging, telemetry, and evaluation tools for systematic testing.5. Data Workflows● Capture multimodal datasets from real robot trials. ● Build simple pipelines for preprocessing, organization, and annotation. ● Support demonstration-based learning and teleoperation data collection.6. Safety &amp; Reliability● Implement guardrails, fallback behaviors, and monitoring systems to ensure safe AI-driven actions.Required Skills● Bachelor&rsquo;s or a Master&rsquo;s degree in Computer Science, AI/ML or related field. ● Strong experience integrating LLMs/VLMs/VLA models into robotic systems (grounding, reasoning, action planning). ● Solid foundation in deep learning tools: PyTorch, ONNX, TensorRT. ● Experience with ROS/ROS2 and real-time robot bring-up. ● Proficiency in Python and C++. ● Hands-on experience with robotics platforms: manipulators, grippers, mobile bases, or humanoids. ● Good understanding of kinematics, dynamics, control loops, and robotic safety. ● Experience working with Jetson/embedded inference systems.Preferred (Not mandatory):● Experience with generalist robotic models (RT-X, GR00T, OpenVLA, Octo, VIDIA-like architectures, or internal equivalents). ● Experience building teleoperation, imitation learning, or demonstration-based skill pipelines. ● Knowledge of SLAM, 3D reconstruction, depth fusion, or scene graph generation. ● Familiarity with memory systems, vector databases, or trajectory libraries for robotic decision-making. ● Exposure to whole-body control: MPC, QP solvers, whole-body IK. ● Contributions to open-source robotics or AI frameworks.What We Offer: ● Opportunity to work on futuristic robotics technologies. ● A collaborative and innovative work environment. ● Growth opportunities in a rapidly expanding tech company. ● Competitive salary and performance-based incentives.Job Type: Full-timeWork Location: In person

Physical AI Engineer / Generative AI Engineer

MDACCESS

OverviewWe are seeking a highly skilled and motivated Language Models/Generative AI Engineer to join our team. The successful candidate will have a strong background in developing and implementing state-of-the-art language models and generative AI systems. This role requires expertise in machine learning, natural language processing, and the ability to work with cloud computing platforms like Azure and AWS.Key ResponsibilitiesDesign, develop, and deploy advanced language models and generative AI solutions to solve complex business problems.Conduct research and implement cutting-edge techniques in the field of natural language processing and generative AI.Collaborate with cross-functional teams to integrate AI capabilities into products and services.Maintain and optimize existing AI models for improved performance and efficiency.Ability to design Computer Vision and NLP algorithmsWork with cloud computing platforms (Azure and AWS) to manage resources, deploy models, and ensure scalability and reliability.Stay abreast of the latest developments in AI, machine learning, and cloud technologies to drive innovation within the team.QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.Proven experience in developing language models and generative AI systems.Strong programming skills in Python and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or similar.Experience with cloud computing platforms, specifically Azure and AWS, including their AI and machine learning services.Solid understanding of NLP techniques and algorithms. Experience with the Elastic search engine is a plusAbility to work collaboratively in a team environment and communicate complex technical concepts clearly.Creative problem-solving skills and a passion for innovation.Job Type: Full-timePay: From Rs150,000.00 per monthWork Location: Remote

Machine Learning/Generative AI Engineer (Remote Job)

RECRUITMENT SMART TECHNOLOGIES

AI Engineer (3&ndash;5 Years Experience) We are seeking a highly skilled AI Engineer with 4&ndash;7 years of experience who is passionate about building scalable AI systems and deploying advanced machine learning solutions into production. The ideal candidate will have strong hands-on expertise in Python, NLP, Generative AI, and working with modern data and search platforms such as ElasticSearch and Redis. In this role, you will collaborate with product, engineering, and data science teams to design, optimize, and operationalize AI solutions that enhance our HR technology products.Key Responsibilities AI System Design &amp; Development<ul><li>Design, build, and maintain end-to-end AI/ML pipelines&mdash;from data ingestion to model deployment.</li><li>Develop scalable architectures for training, serving, and monitoring machine learning and generative AI models.</li><li>Implement MLOps workflows and CI/CD automation for AI systems.</li></ul>NLP &amp; Language Model Engineering<ul><li>Build, fine-tune, and optimize NLP models for tasks such as classification, entity extraction, summarization, and matching.</li><li>Work with LLM frameworks like Hugging Face Transformers, OpenAI APIs, LangChain, or similar ecosystems.</li><li>Optimize inference performance using techniques like quantization, distillation, and prompt engineering.</li></ul>Generative AI &amp; LLM Integrations<ul><li>Develop generative AI solutions for use cases such as content generation, conversational AI, job&ndash;candidate matching, and workflow automation.</li><li>Integrate large language models into production systems with a focus on scalability, performance, and safety.</li><li>Experiment with cutting-edge generative AI research and incorporate relevant innovations into product features.</li></ul>Database, Search &amp; Retrieval Systems<ul><li>Work with NoSQL databases (e.g., MongoDB) to store and manage high-volume structured and unstructured data.</li><li>Build and optimize search and retrieval pipelines using ElasticeSearch, Redis, or vector databases.</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and contextual understanding.</li></ul>API &amp; Backend Integration<ul><li>Design, develop, and maintain RESTful APIs for serving AI models and solutions.</li><li>Collaborate closely with backend teams to ensure seamless integration and high-performance deployment.</li><li>Implement monitoring, logging, and performance tuning for deployed AI services.</li></ul>Research, Innovation &amp; Continuous Improvement<ul><li>Stay updated on the latest trends in AI, LLMs, NLP, and scalable ML infrastructure.</li><li>Conduct research and prototyping to evaluate new models, frameworks, and architectures.</li><li>Drive innovation by identifying opportunities to enhance product performance and automation.</li></ul>Qualifications &amp; SkillsMandatory<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, AI/ML, Data Science, or a related field.</li><li>4&ndash;7 years of experience in AI engineering or ML engineering.</li><li>Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).</li><li>Hands-on experience with NLP frameworks (SpaCy, NLTK, Hugging Face).</li><li>Experience building, fine-tuning, and deploying large language models (LLMs) and Generative AI applications.</li><li>Solid understanding of data structures, software engineering principles, and distributed systems.</li><li>Strong working knowledge of MongoDB, Solr, and Redis.</li><li>Experience building and integrating RESTful APIs.</li><li>Familiarity with DevOps/MLOps concepts and CI/CD pipelines.</li></ul>Preferred<ul><li>Experience in HR Tech or recruitment AI systems.</li><li>Knowledge of Kubernetes, Docker, or cloud platforms (AWS, Azure, GCP).</li><li>Familiarity with vector databases (FAISS, Pinecone, Weaviate).</li><li>Experience with LangChain, LlamaIndex, or RAG-based architectures.</li><li>Contribution to open-source AI/ML/NLP projects.</li></ul>Job Types: Full-time, PermanentPay: ₹1,200,000.00 - ₹1,800,000.00 per yearAbility to commute/relocate:<ul><li>Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>Current CTC</li><li>Expected CTC</li><li>Notice Period</li><li>Reason for Change</li></ul>

AI Engineer (Generative AI)

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