generative ai engineer

iTechNets

<p><b>Pay:</b> 120,000.00 (PKR) - 150,000.00 (PKR) per month</p><p>Job description:</p><p>We are currently seeking a talented <b>Generative AI engineer </b>with strong expertise in AI and AI agent development to join our dynamic team. This is an exciting opportunity to work on groundbreaking projects and make a significant impact in the field of artificial intelligence and AI agents.</p><p>The ideal candidate will have a strong background in Python, expertise in Generative AI, and a passion for developing and fine-tuning generative AI models. You will be responsible for creating innovative solutions, optimizing models, and deploying applications that leverage the power of AI.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop and implement Gen AI agents and models.</li><li>Fine-tune and optimize generative AI models for various applications.</li><li>Collaborate with cross-functional teams to design and develop AI-driven solutions.</li><li>Build and deploy applications using Python and Flask.</li><li>Conduct research and stay updated on the latest advancements in Generative AI and AI agents</li><li>Perform data analysis and preprocessing to support model development.</li><li>Troubleshoot and resolve technical issues related to AI models and applications.</li><li>Document and present findings, progress, and results to the team and stakeholders.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, or a related field.</li><li>Minimum of 5 years of experience in machine learning and AI</li><li>At least 3-4 years of experience in generative AI, including building AI agents</li><li>Strong proficiency in langchain, langgraph and other technologies.</li><li>Strong communication and collaboration skills.</li><li>Ability to work independently and as part of a team.</li><li>Extensive experience with AI agents and autonomous reasoning systems.</li><li>Hands-on expertise with LangChain, RAG, OpenAI API, or similar LLM-based frameworks.</li><li>Python proficiency (experience with FastAPI or Flask is a plus).</li><li>Strong understanding of prompt engineering and fine-tuning LLMs.</li><li>Strong problem-solving skills and ability to work independently.</li></ul><p><b>What We Offer:</b></p><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>A collaborative and innovative work environment.</li><li>Flexible working arrangements (remote/hybrid).</li><li>The chance to work on cutting-edge AI projects.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs120,000.00 - Rs150,000.00 per month</p><p>Experience:</p><ul><li>Gen AI: 3 years (Required)</li></ul><p>Work Location: Remote</p>

Generative AI engineer

HR Ways

<p><b>Experience 1-3 years</b></p><p>Location Lahore</p><p>* Strong hands-on experience in AI development tools &amp; APIs (e.g., GPT, Claude, Replit, LangChain, Hugging Face, etc),</p><p>* Solid background in frontend and backend development (React, Next.js, Tailwind CSS, Node.js, Python).</p><p>* Candidate should also be capable of handling documentation and QA processes using AI-powered tools.</p><p><b>About HR Ways:</b></p><p>HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai, Canada, US, UK, Pakistan, India, Saudi Arabia, Portugal, Brazil and other parts of the world.</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Generative AI Engineer

Impetus Technologies

<p></p><div><div><div><div><div><div><div><p>Hyderabad, Telangana, India;Bangalore, Karnataka, India;Indore, Madhya Pradesh, India;Noida, Uttar Pradesh, India</p></div></div></div><div><div><div><br>
</div></div></div></div></div></div><div><div><div><div><div><div><div><div><p>
Qualification</p><div>
:</div></div><div><div><p><br>
About the Role</p>
<p>We are looking for an engineer with strong experience in building, deploying, and scaling chatbot solutions on AWS. The role involves working closely with product and engineering teams to design conversational AI systems that are secure, scalable, and integrated with enterprise applications.</p>
<p>Key Responsibilities</p>
<p>Design, develop, and deploy chatbot solutions leveraging AWS services (Lambda, API Gateway, DynamoDB, S3, etc.).<br>
Integrate chatbots with enterprise applications (CRM, HRMS, custom apps, etc.).<br>
Build NLP workflows, conversation flows, and handle fall/error strategies.<br>
Implement monitoring, logging, and analytics to track chatbot performance.<br>
Ensure security, scalability, and high availability of deployed solutions.<br>
Collaborate with product managers, UX designers, and data scientists to improve conversational experiences.<br>
Optimize costs and performance of chatbot workloads on AWS.<br>
Required Skills</p>
<p>Strong hands-on experience with AWS services (Lambda, S3, DynamoDB, CloudWatch, API Gateway, IAM).<br>
Machine Learning and Artificial Intelligence<br>
Proficiency in at least one programming language (Python, Node.js, or Java).<br>
Experience with NLP / conversational AI frameworks (Rasa, Dialogflow, or similar).<br>
Knowledge of API integrations (REST, GraphQL, Webhooks).<br>
Understanding of CI/CD pipelines (CodePipeline, GitHub Actions, Jenkins).<br>
Familiarity with cloud security best practices and IAM policies.<br>
Knowledge of FastAPI, Flask or other API development frameworks<br>
AI Agents knowledge<br>
Nice to Have</p>
<p>Experience with Generative AI (Amazon Bedrock, OpenAI APIs, Anthropic Claude, etc.).<br>
Familiarity with front-end integration (React, Angular, mobile apps, WhatsApp/Slack/Teams bots).<br>
Exposure to MLOps or deploying custom NLP models.<br>
Knowledge of analytics platforms for chatbot performance (Amazon Kendra, QuickSight, or third-party).</p>
</div></div></div></div></div><div><div><div><div><p>
Experience</p><div>
:</div></div><div><p>
7 to 12 years</p></div></div></div></div><div><div><div><div><p>
Job Reference Number</p><div>
:</div></div><div><p>
13295</p></div></div></div></div><div><div><div><div><p>
Skills Required</p><div>
:</div></div><div><p>
Sagemaker</p></div></div></div></div><div><div><div><div><p>
Role</p><div>
:</div></div><div><div><p><br>
About the Role</p>
<p>We are looking for an engineer with strong experience in building, deploying, and scaling chatbot solutions on AWS. The role involves working closely with product and engineering teams to design conversational AI systems that are secure, scalable, and integrated with enterprise applications.</p>
<p>Key Responsibilities</p>
<p>Design, develop, and deploy chatbot solutions leveraging AWS services (Lambda, API Gateway, DynamoDB, S3, etc.).<br>
Integrate chatbots with enterprise applications (CRM, HRMS, custom apps, etc.).<br>
Build NLP workflows, conversation flows, and handle fall/error strategies.<br>
Implement monitoring, logging, and analytics to track chatbot performance.<br>
Ensure security, scalability, and high availability of deployed solutions.<br>
Collaborate with product managers, UX designers, and data scientists to improve conversational experiences.<br>
Optimize costs and performance of chatbot workloads on AWS.<br>
Required Skills</p>
<p>Strong hands-on experience with AWS services (Lambda, S3, DynamoDB, CloudWatch, API Gateway, IAM).<br>
Machine Learning and Artificial Intelligence<br>
Proficiency in at least one programming language (Python, Node.js, or Java).<br>
Experience with NLP / conversational AI frameworks (Rasa, Dialogflow, or similar).<br>
Knowledge of API integrations (REST, GraphQL, Webhooks).<br>
Understanding of CI/CD pipelines (CodePipeline, GitHub Actions, Jenkins).<br>
Familiarity with cloud security best practices and IAM policies.<br>
Knowledge of FastAPI, Flask or other API development frameworks<br>
AI Agents knowledge<br>
Nice to Have</p>
<p>Experience with Generative AI (Amazon Bedrock, OpenAI APIs, Anthropic Claude, etc.).<br>
Familiarity with front-end integration (React, Angular, mobile apps, WhatsApp/Slack/Teams bots).<br>
Exposure to MLOps or deploying custom NLP models.<br>
Knowledge of analytics platforms for chatbot performance (Amazon Kendra, QuickSight, or third-party).</p></div></div></div></div></div></div></div></div></div></div><p></p>

Generative AI Engineer (Module Lead/Lead)

Sirma Business Consulting India Private Limited

<div><div><b>Backend Engineer &acirc;&#128;&#147; Generative AI (Infra)</b></div><div><b>
Experience Required:</b> 1.5 &acirc;&#128;&#147; 3 Years</div><div><b>
Location:</b> Brookfield, Bangalore (In-office)</div><div><b>
Employment Type:</b> Full-Time</div><h3 class="jobSectionHeader"><b>
About the Role</b></h3><div>
We are seeking a talented Backend Engineer with a focus on AI-driven systems, particularly in developing and maintaining scalable infrastructures for Generative AI applications. This role requires a solid background in backend engineering, API design, and AI model integration, with experience in LLMs, diffusion models, and multimodal AI systems.</div><div>
As a Backend Engineer, you will be responsible for building and managing backend systems that support AI services, ranging from model APIs to data retrieval pipelines, ensuring they are optimized for performance and security in production environments. Experience with enterprise-level systems, particularly in banking or financial services, is a significant advantage.</div><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><h4 class="jobSectionHeader"><b>
Backend Architecture &amp; Development</b></h4><div>
Design and develop scalable backend services to support AI and Generative AI workloads.</div><div>
Build and optimize RESTful and GraphQL APIs for model inference, prompt processing, and data access.</div><div>
Create modular backend components for high-performance, scalable AI operations.</div><h4 class="jobSectionHeader"><b>
Generative AI Pipeline Integration</b></h4><div>
Collaborate with AI engineers to integrate and deploy Generative AI models (LLMs, diffusion models, text-to-image, speech-to-text) in production.</div><div>
Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, Weaviate, FAISS, or Milvus.</div><div>
Optimize AI model serving and inference with frameworks like TensorFlow Serving, TorchServe, FastAPI, or custom endpoints.</div><h4 class="jobSectionHeader"><b>
API Management &amp; Optimization</b></h4><div>
Develop secure APIs for AI-driven services, ensuring proper version control, authentication (OAuth2, JWT), and scalability.</div><div>
Integrate third-party AI APIs (OpenAI, Anthropic, Google Gemini, Stability AI) into internal systems.</div><div>
Monitor API usage, optimize for latency, and ensure high-throughput AI operations.</div><h4 class="jobSectionHeader"><b>
System &amp; Environment Setup</b></h4><div>
Set up backend environments using Docker, Kubernetes, and CI/CD pipelines for automated deployments.</div><div>
Manage scalable cloud environments (AWS, Azure, GCP) with load balancing and fault tolerance.</div><div>
Support development environments and backend utilities for cross-functional AI teams.</div><h4 class="jobSectionHeader"><b>
Performance &amp; Security</b></h4><div>
Optimize server performance for AI workloads through caching, queuing, and load balancing techniques.</div><div>
Ensure compliance with data privacy and security regulations, especially in financial domains.</div><div>
Implement observability tools like Prometheus, Grafana, and ELK Stack for performance monitoring.</div><h4 class="jobSectionHeader"><b>
Collaboration</b></h4><div>
Collaborate with AI/ML engineers, data scientists, frontend developers, and DevOps teams.</div><div>
Contribute to architecture discussions, backend documentation, and process improvements.</div><div>
Participate in agile ceremonies, code reviews, and design sessions.</div><h3 class="jobSectionHeader"><b>
Required Technical Skills</b></h3><div><b>
Languages:</b> Python (primary), Node.js, Java</div><div><b>
Backend Frameworks:</b> FastAPI, Flask, Django, Express.js, Spring Boot</div><div><b>
AI &amp; Generative Tools:</b></div><div>
Familiarity with LLMs (e.g., GPT, Claude, Gemini, LLaMA, Mistral)</div><div>
Experience with diffusion models (e.g., Stable Diffusion, Midjourney APIs)</div><div>
Knowledge of transformer models via Hugging Face or OpenAI APIs</div><div>
Understanding of prompt engineering and model-serving best practices</div><div><b>
Databases:</b> PostgreSQL, MongoDB, Redis, Elasticsearch</div><div><b>
Vector Databases:</b> Pinecone, Weaviate, Milvus, FAISS (for RAG systems)</div><div><b>
Infrastructure &amp; DevOps:</b> Docker, Kubernetes, Jenkins, GitLab CI/CD, AWS Lambda, ECS, or GCP Cloud Run</div><div><b>
Monitoring:</b> Prometheus, Grafana, ELK Stack, New Relic</div><div><b>
API Technologies:</b> REST, GraphQL, gRPC</div><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><div>
Experience with AI product backend systems or enterprise software, especially in banking.</div><div>
Familiarity with AI pipeline orchestration tools (LangChain, LlamaIndex, Haystack).</div><div>
Understanding of model lifecycle management, vector embeddings, and inference scaling.</div><div>
Familiarity with data encryption, tokenization, and compliance standards (PCI DSS, ISO 27001).</div><h3 class="jobSectionHeader"><b>
Soft Skills</b></h3><div>
Strong problem-solving and debugging abilities.</div><div>
Excellent communication skills for collaborating with cross-functional teams.</div><div>
High attention to detail and performance optimization.</div><div>
Curiosity and enthusiasm for emerging AI technologies and backend architecture.</div><h3 class="jobSectionHeader"><b>
Education</b></h3><div>
Bachelor's or Master's degree in Computer Science, IT, AI, or a related field.</div><div>
Certifications in AI/ML, Cloud Architecture, or Backend Development are a plus.</div><h3 class="jobSectionHeader"><b>
Why Join Us</b></h3><div>
Work at the forefront of backend engineering and Generative AI innovation.</div><div>
Build production-ready systems for large-scale, intelligent applications.</div><div>
Collaborate with a team pushing the boundaries of AI applications and infrastructure optimization.</div><h3 class="jobSectionHeader"><b>
Work Schedule</b></h3><div><b>
Working Days:</b> Monday to Saturday (Alternate Saturdays leave)</div><div><b>
Timings:</b> 9:00 AM to 6:00 PM</div></div>

Generative AI-Backend Engineer – (Infra)

Glow Beauty On Demand

<br><b>Job Title</b><br>ML Platform Engineer   Generative AI &amp; Machine Learning Infrastructure<br>Job Description<br>ML Platform Engineer   Generative AI &amp; Machine Learning Infrastructure<br> <br>Location: Dubai, UAE<br>Industry: Technology / AI / Food &amp; Q-commerce<br>Function: Machine Learning Engineering<br>Gender: Any<br>Candidate Nationality: Any<br>Job Type: Full-time<br> <br>Role Overview<br>Talabat, the leading on-demand food and Q-commerce app in the region, is seeking an experienced ML Platform Engineer to design, develop, and scale robust machine learning and generative AI platforms. The role involves building end-to-end ML infrastructure, enabling fast experimentation, efficient model deployment, and seamless monitoring to support next-generation AI-driven solutions for millions of users.<br> <br>Key Responsibilities<br> <br>* Build scalable ML platforms supporting data ingestion, model training, deployment, and monitoring for both traditional ML and generative AI models<br>* Design standardized ML workflows using tools like MLflow, Kubeflow, and implement CI/CD pipelines with Docker and Kubernetes<br>* Optimize generative AI deployments involving transformers, embeddings, RAG systems, and vector databases such as Pinecone, Redis, or Weaviate<br>* Implement real-time serving frameworks like TensorFlow Serving, NVIDIA Triton, or Seldon for production-grade inference<br>* Automate model lifecycle management and implement observability measures to track performance, detect drift, and maintain reliability<br>* Collaborate with data engineering and product teams to align ML infrastructure with strategic business goals<br>* Drive cloud infrastructure integration using AWS or GCP services, including Kubernetes clusters, managed ML services, and serverless components<br>* Ensure cost efficiency, performance optimization, and adherence to best practices for MLOps and generative AI workflows<br> <br>Qualifications and Experience<br> <br>* Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred)<br>* Minimum 3 years of experience in ML platform engineering, MLOps, or generative AI infrastructure roles<br>* Expertise in Python, ML frameworks (TensorFlow, PyTorch), and APIs such as Hugging Face and LangChain<br>* Hands-on experience with containerization, orchestration (Docker, Kubernetes), and infrastructure-as-code tools (Terraform, Helm)<br>* Proven ability to build real-time inference pipelines integrated with feature stores and streaming platforms like Kafka or Kinesis<br>* Familiarity with SQL for data processing and knowledge of observability tools for monitoring AI systems<br>* Strong understanding of model optimization techniques including quantization, batching, and prompt-tuning strategies<br><br>

ML Platform Engineer

<b><br>Job Title<br>ML Platform Engineer   Generative AI &amp; Machine Learning Infrastructure<br>Job Description<br>ML Platform Engineer   Generative AI &amp; Machine Learning Infrastructure<br> <br>Location: Dubai, UAE<br>Industry: Technology / AI / Food &amp; Q-commerce<br>Function: Machine Learning Engineering<br>Gender: Any<br>Candidate Nationality: Any<br>Job Type: Full-time<br></b> <br><b>Role Overview<br></b>Talabat, the leading on-demand food and Q-commerce app in the region, is seeking an experienced ML Platform Engineer to design, develop, and scale robust machine learning and generative AI platforms. The role involves building end-to-end ML infrastructure, enabling fast experimentation, efficient model deployment, and seamless monitoring to support next-generation AI-driven solutions for millions of users.<br> <br><b>Key Responsibilities<br></b> <br>* Build scalable ML platforms supporting data ingestion, model training, deployment, and monitoring for both traditional ML and generative AI models<br>* Design standardized ML workflows using tools like MLflow, Kubeflow, and implement CI/CD pipelines with Docker and Kubernetes<br>* Optimize generative AI deployments involving transformers, embeddings, RAG systems, and vector databases such as Pinecone, Redis, or Weaviate<br>* Implement real-time serving frameworks like TensorFlow Serving, NVIDIA Triton, or Seldon for production-grade inference<br>* Automate model lifecycle management and implement observability measures to track performance, detect drift, and maintain reliability<br>* Collaborate with data engineering and product teams to align ML infrastructure with strategic business goals<br>* Drive cloud infrastructure integration using AWS or GCP services, including Kubernetes clusters, managed ML services, and serverless components<br>* Ensure cost efficiency, performance optimization, and adherence to best practices for MLOps and generative AI workflows<br> <br><b>Qualifications and Experience<br></b> <br>* Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred)<br>* Minimum 3 years of experience in ML platform engineering, MLOps, or generative AI infrastructure roles<br>* Expertise in Python, ML frameworks (TensorFlow, PyTorch), and APIs such as Hugging Face and LangChain<br>* Hands-on experience with containerization, orchestration (Docker, Kubernetes), and infrastructure-as-code tools (Terraform, Helm)<br>* Proven ability to build real-time inference pipelines integrated with feature stores and streaming platforms like Kafka or Kinesis<br>* Familiarity with SQL for data processing and knowledge of observability tools for monitoring AI systems<br>* Strong understanding of model optimization techniques including quantization, batching, and prompt-tuning strategies<br>

ML Platform Engineer Generative AI & Machine Learning Infrastructure

<br><b>Job Title<br></b>ML Platform Engineer   Generative AI &amp; Machine Learning Infrastructure<br><b>Job Description<br></b>ML Platform Engineer   Generative AI &amp; Machine Learning Infrastructure<br> <br><b>Location: Dubai, UAE<br>Industry: Technology / AI / Food &amp; Q-commerce<br>Function: Machine Learning Engineering<br>Gender: Any<br>Candidate Nationality: Any<br>Job Type: Full-time<br> <br>Role Overview</b><br>Talabat, the leading on-demand food and Q-commerce app in the region, is seeking an experienced ML Platform Engineer to design, develop, and scale robust machine learning and generative AI platforms. The role involves building end-to-end ML infrastructure, enabling fast experimentation, efficient model deployment, and seamless monitoring to support next-generation AI-driven solutions for millions of users.<br> <br><b>Key Responsibilities<br></b> <br>* Build scalable ML platforms supporting data ingestion, model training, deployment, and monitoring for both traditional ML and generative AI models<br>* Design standardized ML workflows using tools like MLflow, Kubeflow, and implement CI/CD pipelines with Docker and Kubernetes<br>* Optimize generative AI deployments involving transformers, embeddings, RAG systems, and vector databases such as Pinecone, Redis, or Weaviate<br>* Implement real-time serving frameworks like TensorFlow Serving, NVIDIA Triton, or Seldon for production-grade inference<br>* Automate model lifecycle management and implement observability measures to track performance, detect drift, and maintain reliability<br>* Collaborate with data engineering and product teams to align ML infrastructure with strategic business goals<br>* Drive cloud infrastructure integration using AWS or GCP services, including Kubernetes clusters, managed ML services, and serverless components<br>* Ensure cost efficiency, performance optimization, and adherence to best practices for MLOps and generative AI workflows<br> <br><b>Qualifications and Experience<br></b> <br>* Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred)<br>* Minimum 3 years of experience in ML platform engineering, MLOps, or generative AI infrastructure roles<br>* Expertise in Python, ML frameworks (TensorFlow, PyTorch), and APIs such as Hugging Face and LangChain<br>* Hands-on experience with containerization, orchestration (Docker, Kubernetes), and infrastructure-as-code tools (Terraform, Helm)<br>* Proven ability to build real-time inference pipelines integrated with feature stores and streaming platforms like Kafka or Kinesis<br>* Familiarity with SQL for data processing and knowledge of observability tools for monitoring AI systems<br>* Strong understanding of model optimization techniques including quantization, batching, and prompt-tuning strategies<br> <br><b>What We Offer<br></b> <br>* Opportunity to work on advanced ML and AI projects impacting millions of users in the Middle East<br>* Competitive salary and benefits package<br>* A collaborative, innovation-driven environment with cutting-edge tools and technologies<br>* Career development in one of the fastest-growing tech ecosystems in the region<br>

ML Platform Engineer Generative AI & Machine Learning

Search 10000+ Generative ai engineer jobs near you this November. New roles added regularly across leading industries. Apply today.