generative ai engineer

CoinFantasy

CoinFantasy is seeking a skilled AI Developer/Engineer to develop and deploy innovative AI solutions within our decentralized ecosystem. The ideal candidate will bring expertise in building scalable AI systems, optimizing MLOps pipelines, and developing AI-powered applications that leverage decentralized network capabilities. This role offers a unique opportunity to work at the intersection of cutting-edge AI and blockchain technology, implementing advanced solutions including dynamic node orchestration, layer-wise model sharding, and secure peer-to-peer communication protocols. You'll be pioneering new approaches that push the boundaries of what's possible in decentralized AI applications.Job Responsibilities<ul><li>Design, train, and fine-tune deep learning models for diverse AI applications.</li><li>Develop, train, and fine-tune AI models using PyTorch/TensorFlow.</li><li>Convert research prototypes into production-grade code with optimized inference.</li><li>Implement LLM applications (RAG, prompt engineering) and multimodal systems.</li><li>Build and maintain data pipelines for training/evaluation.</li><li>Deploy models using MLOps tools (Docker, FastAPI, Kubernetes)</li><li>Monitor model performance (latency, accuracy) and debug issues in production.</li><li>Work with data scientists to operationalize research models.</li><li>Optimize GPU/CPU utilization for training and inference.</li><li>Document code, APIs, and workflows for reproducibility.</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Machine Learning, or related field.</li><li>Minimum 2 years of experience in AI development, machine learning, and distributed systems.</li><li>Proficiency in Python, Golang, machine learning frameworks (TensorFlow, PyTorch), and familiarity with distributed computing tools.</li><li>Prior experience in decentralised, web3, and P2P technologies is a plus.</li><li>Strong problem-solving and analytical skills, with a keen interest in deploying AI for real-world use cases.</li><li>Ability to work independently and as part of a team in a fast-paced environment.</li><li>A passion for emerging technologies and a desire to stay ahead of industry trends.</li></ul>About UsCoinFantasy is a Play to Invest platform that brings the world of investment to users through engaging games. With multiple categories of games, it aims to make investing fun, intuitive, and enjoyable for users. It features a sandbox environment in which users are exposed to the end-to-end investment journey without risking financial losses.Building on this foundation, we are now developing a groundbreaking decentralised protocol that will transform the AI landscape.Website:Benefits<ul><li>Competitive Salary</li><li>An opportunity to be part of the Core team in a fast-growing company</li><li>A fulfilling, challenging and flexible work experience</li><li>Practically unlimited professional and career growth opportunities</li></ul>Job Type: Full-timePay: ₹500,000.00 - ₹2,000,000.00 per yearBenefits:<ul><li>Leave encashment</li></ul>Work Location: In person

Generative AI Engineer

Saher Management Consultancies LLC

<div>
 
 Role:
 
 
 Experience Level: 10+ Years
 
 
 
 
 location: QATAR
 
 
 
 
 Note :communication (Arabic &amp; English). Gulf nationals only.
 
 
 
 
 Machine Learning &amp; Generative AI Engineer (Mid-Level)
 
 
 
 
 ML | DL | Python | LangChain/LangGraph | Azure AI Foundry | RAG | Vector Stores | Semantic Kernel
 
 
 Role Summary
 
 
 Build and deploy enterprise-grade Generative AI solutions with strong grounding and
 
 
 measurable quality. You will implement RAG pipelines, agentic workflows
 
 
 (LangChain/LangGraph/ Semantic Kernel), and evaluation/monitoring on Azure AI Foundry
 
 
 and Azure services, or GCP.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Implement end-to-end RAG: ingestion, chunking, embeddings, retrieval, reranking,
 
 
 </li>
 </ul>
 and citation/grounding.
 
 
 <ul>
 <li>
 Develop agentic workflows using Semantic Kernel, LangChain and LangGraph
 
 
 </li>
 </ul>
 (tools, routing, memory) with guardrails and safe tool use.
 
 
 <ul>
 <li>
 Integrate vector stores/search (Azure AI Search vector, Pinecone, Weaviate, Milvus,
 
 
 </li>
 </ul>
 pgvector, or equivalent) and maintain reliable data pipelines.
 
 
 <ul>
 <li>
 Build Python services/APIs (FastAPI preferred) with streaming, auth (Entra ID/OIDC
 
 
 </li>
 </ul>
 as applicable), and production-ready error handling.
 
 
 <ul>
 <li>
 Own quality and operations: golden datasets, automated regression evaluation,
 
 
 </li>
 </ul>
 tracing/observability, and latency/cost optimization (caching, batching).
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 3-6 years software engineering experience; 1-3 years delivering ML/GenAI features
 
 
 </li>
 </ul>
 to production.
 
 
 <ul>
 <li>
 Strong Python, API development, unit/integration testing, and Git-based workflows
 
 
 </li>
 </ul>
 (Azure DevOps or GitHub).
 
 
 <ul>
 <li>
 Hands-on experience with RAG patterns, embeddings, retrieval strategies, prompt
 
 
 </li>
 </ul>
 design, and LLMs evaluation basics.
 
 
 <ul>
 <li>
 Experience with Azure AI Foundry / Azure OpenAI and deploying on Azure
 
 
 </li>
 </ul>
 (Container Apps, Functions, App Service,
 
 
 <ul>
 <li>
 or AKS).
 </li>
 <li>
 Comfortable working with data and documents; strong communication and
 
 
 </li>
 </ul>
 documentation skills.
 
 
 Great Advantage
 
 
 <ul>
 <li>
 LLMOps: prompt/version governance, tracing (LangSmith/OpenTelemetry), and
 
 
 </li>
 </ul>
 evaluation frameworks.
 
 
 <ul>
 <li>
 Hybrid search and reranking, structured outputs (JSON schema), and prompt-
 
 
 </li>
 </ul>
 injection/tool-safety mitigations.
 
 
 <ul>
 <li>
 Performance testing and cost optimization experience for LLM-based systems.
 </li>
 <li>
 Bilingual communication (Arabic &amp; English).
 
 
 </li>
 </ul>
 Typical Tech Stack
 
 
 <ul>
 <li>
 Python (FastAPI), LangChain, LangGraph, Azure AI Foundry, Azure OpenAI, Azure AI
 
 
 </li>
 </ul>
 Search (vector), Semantic Kernel, PyTroch, Keras, Tensorflow.
 
 
 <ul>
 <li>
 Pinecone/Weaviate /pgvector / Azure AI Search, Docker, Azure DevOps, Key Vault,
 
 
 </li>
 </ul>
 Application Insights.
 
 
 
 Skills: vector,python,rag,kernel,ml,azure
</div>

Machine Learning & Generative AI Engineer

Marcura

<div>The Managed Port Calls team requires a Staff AI Engineer to drive AI innovation across our Marcura platform. This role exists to architect and deliver AI-powered features that enhance operational efficiency, predictive capabilities, and decision-making for stakeholders.
The role is hands-on execution&mdash;building production-grade AI systems, mentoring engineers on AI/ML best practices, and selecting appropriate technologies and frameworks. Working closely with product, backend, and data teams, you'll embed intelligence throughout the platform while ensuring our AI solutions are scalable, reliable, and deliver measurable business value.
Sample use cases that the role will require to build and manage:
<ul><li>Convert manual processes to fully automated processes</li>
<li>Partially automate processes when full automation is not achievable</li>
<li>Help improve efficiency for both operations team and customers</li>
<li>Reduce the amount of manual (especially repetitive) work mainly for operations team</li>
<li>Predict answers to questions based on an existing historical knowledge base</li>
<li>Predict costs based on historical knowledge</li>
<li>Chat bot style task automation</li>
</ul>
Requirements<ul><li>
Bachelor's Degree in Information Technology, Data Science, Machine Learning/AI, Computer Science or other relevant fields</li><li>
Minimum of 8 years of experience in relevant fields including data science and AI
</li></ul>Machine Learning &amp; AI:<ul>
<li>
Experience with LLMs and building AI agents using frameworks like LangChain, LangGraph, and LangSmith
</li><li>Hands-on experience with prompt engineering, RAG (Retrieval-Augmented Generation), and LLM orchestration</li>
<li>Knowledge of AI agent design patterns: reasoning, planning, tool use, and memory management</li>
<li>Proven experience designing, training, and deploying ML models in production environments</li>
<li>Understanding of ML fundamentals and MLOps practices: model versioning, monitoring, CI/CD pipelines</li>
<li>Proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).</li>
</ul>
Programming:<ul>
<li>
Strong coding skills in languages such as Python,
</li><li>Good to have programming experience in Java,</li>
<li>Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).</li>
</ul>
Cloud Computing:<ul><li>
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI models. [Azure is the preference]</li></ul>
Software Development:<ul>
<li>
Understanding of software development life cycle (SDLC) and agile methodologies.</li>
<li>Experience with version control systems (e.g., Git).</li>
</ul>
Data Analysis:<ul><li>
Ability to analyze and interpret complex datasets.</li></ul>
Problem-Solving:<ul>
<li>
Strong analytical thinking to identify and solve operational inefficiencies.</li>
<li>Ability to design and implement AI-driven solutions.</li>
</ul>
Communication:<ul>
<li>
Ability to explain complex technical concepts to non-technical stakeholders.</li>
<li>Strong written and verbal communication skills.</li>
</ul>
Collaboration:<ul>
<li>
Experience working in cross-functional teams.</li>
<li>Ability to collaborate with other developers, data scientists, and business analysts.</li>
</ul>
Benefits<ul>
<li>
Competitive Salary and Bonus: We reward your expertise and contributions.</li>
<li>Inclusive Onboarding Experience: Our onboarding program is designed to set you up for success right from day one.</li>
<li>Marcura Wellness Zone: We value your work-life balance and well-being.</li>
<li>Global Opportunities: Be part of an ambitious, expanding company with a local touch.</li>
<li>Diverse, Supportive Work Culture: We&rsquo;re committed to inclusion, diversity, and a sense of belonging for all team members.</li></ul></div>

Generative AI Solutions Engineer

Codiste Pvt. Ltd.

Job Title: Senior Generative AI Engineer Experience:2-3 years Job Summary: We are seeking a highly skilled and motivated Senior Generative AI Engineer to join our innovative team. The ideal candidate will be a solution-oriented thinker with a strong foundation in Artificial Intelligence and a proven track record of designing, developing, and deploying complex generative AI solutions. You will be a key player in building the next generation of AI-powered features, working on everything from large language model (LLM) fine-tuning and orchestration to the implementation of sophisticated multi-agent systems. If you are an independent developer who is passionate about pushing the boundaries of AI, we want to hear from you. Key Responsibilities: ● Design, build, and maintain scalable and efficient generative AI models and data pipelines. ● Lead the development and implementation of advanced Generative AI solutions using state-of-the-art models and techniques. ● Design and orchestrate multi-agent AI systems to solve complex problems and automate intricate workflows. ● Fine-tune and evaluate Large Language Models (LLMs) to meet specific project requirements, ensuring optimal performance and accuracy. ● Collaborate with product managers, data scientists, and software engineers to integrate AI-powered features into our products. ● Take ownership of the full AI model lifecycle, from data preprocessing and embedding to deployment and monitoring. ● Develop and integrate Retrieval-Augmented Generation (RAG) systems to enhance model responses. ● Ensure the ethical and responsible development of AI, prioritizing fairness, transparency, and privacy. Registered Office Address : Codiste Private Limited, C-804,Vandemataram Fabula, Near Swarnim Square,Chharodi, Ahmedabad, Gujarat, India,382481 www.codiste.com Must Have Qualifications: ● 2-3 years of hands-on experience in building and deploying Generative AI and Deep Learning models. ● Strong proficiency in Python and its core data science libraries. ● Proven experience with LLM orchestration and building multi-agent systems. ● In-depth knowledge of LLM architecture, training methodologies, and fine-tuning techniques (e.g., LoRA, QLoRA). ● Solid understanding of Neural Network fundamentals and deep learning concepts. ● Practical experience with NLP, including text processing, embedding preparation, and implementing RAG pipelines. ● Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure). Professional Attributes: ● Solution-Oriented Thinker: Proactively identify challenges and design effective, creative solutions to complex problems. ● Technologically Current: Demonstrate a commitment to staying up-to-date with the latest advancements and trends in the rapidly evolving field of generative AI. ● Versatile Problem-Solver: Able to devise and evaluate different solution approaches, utilizing a trial-and-error mindset to iterate and arrive at the optimal outcome. ● Independent Developer: Capable of driving projects forward with minimal supervision, taking initiative from conception to deployment. SDKs, Tools, and Languages: ● Languages: Python, TypeScript. ● AI/ML Frameworks &amp; Orchestration: TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex, and other agentic frameworks. ● Vector Databases: Pinecone, ChromaDB, etc. ● Cloud Platforms: AWS (Bedrock, SageMaker, Lambda), Google Cloud Platform (Vertex AI), Azure. ● Infrastructure and CI/CD: Docker, Kubernetes, Terraform. ● APIs: OpenAI and other major AI providers. About Codiste : We are an Emerging Tech solution provider. We help Startups and SMEs to stay ahead in this fast-changing world by providing consulting and building products that their end customer loves with a fast turnaround time. At Codiste, we have a Tech and immersive experience combined team, which is very rare to find. We believe in a Team uplifting culture and win-win for the team that works with us.Job Type: Full-timePay: ₹1,000,000.00 - ₹1,800,000.00 per yearWork Location: On the road

Senior AI Engineer

Cisco

Meet The Team
 
The Cisco AI Software& Platform Group drives the development of groundbreaking generative AI applications. We empower Cisco's diverse product portfolio, spanning networking and security, with intelligent assistants and agents. We work on cutting-edge technologies that proactively defend against threats, safeguard critical business assets, and simplify security operations. Fuelled by a passion for AI/ML, we strive to create a secure future for businesses. Our collaborative and passionate team thrives on tackling complex challenges and delivering innovative solutions.
 
Your Impact
 
We are seeking a talented and passionate Software Engineer to join our growing AI team. In this role, you will play a crucial part in building powerful generative AI applications that will power innovation across our entire company. You will work closely with data scientists, collaborate with other engineers and multi-functional teams, and contribute to the development of robust, scalable, and high-performance AI solutions.
 
<ul>
<li>Develop cutting-edge AI applications: Design and build innovative generative AI applications that are secure, reliable, and scalable.</li>
<li>Translate business needs into technical solutions: Work closely with stakeholders to understand business requirements and translate them into technical specifications and roadmaps.</li>
<li>Experiment and innovate: Experiment with different generative AI models and architectures, evaluate their performance, and find opportunities for improvement.</li>
<li>Build developer tools: Develop and maintain APIs, SDKs, and other tools that enable seamless integration of AI capabilities into various applications.</li>
<li>Instrumentation: Implement the right types of instrumentation to supervise and measure the performance, reliability, and security.</li>
<li>Fixing: Debug and fix integration issues, identifying bottlenecks or errors and implementing solutions to optimize service interactions.</li>
<li>Scale and Performance Optimization: Work on scale and performance tuning and optimization of different components to ensure efficient, responsive operation for handling large volumes of requests.</li>
<li>Collaborate effectively: Work closely with data scientists, researchers, product managers, engineers, and other stakeholders to ensure successful project delivery.</li>
<li>Contribute to a strong engineering culture: Participate actively in code reviews and team discussions.</li>
<li>Stay ahead of the curve: Continuously learn and stay abreast of the latest advancements in AI/ML research, industry trends, and best practices.</li>
</ul>
Minimum Qualifications: 
<ul>
<li>Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or a related field.</li>
<li>4-7 years of professional software development experience using programming languages such as Python, Java, or Go</li>
<li>Proven experience as a Backend Engineer with expertise in integrating and scaling complex services.</li>
<li>Strong understanding of AI service operations, including Generative AI, and the ability to design and build interfaces between them.</li>
<li>Experience with instrumentation and monitoring tools for measuring service performance.</li>
<li>Excellent problem-solving skills and the ability to troubleshoot complex technical issues.</li>
</ul>
Preferred Qualifications: 
<ul>
<li>Knowledge of security best practices and compliance standards.</li>
<li>Effective teamwork and communication skills to collaborate with cross-functional teams.</li>
</ul>
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.

Software Engineer (Go/ Python/ Java | 7- 12 years)

FiveRivers Technologies

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>02/16/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Work Experience
<div>0-1 year
</div></div><div>Industry
<div>IT Services
</div></div><div>City
<div>Lahore
</div></div><div>State/Province
<div>Punjab
</div></div><div>Country
<div>Pakistan
</div></div><div>Zip/Postal Code
<div>54000
</div></div></ul></div><div><h3 class="jobSectionHeader">Job Description</h3> 
<div></div><div> 
<div>FiveRivers Technologies is looking for an AI/ML Engineer with 6 months to 1 year experience, to work on cutting-edge Artificial Intelligence and Machine Learning solutions. The role will focus on designing and developing efficient and effective systems related to Generative AI, LLMs, Agentic AI and Machine Learning, while collaborating with cross-functional teams.<h4 class="jobSectionHeader"> 
Responsibilities</h4><ul><li>
Implementing AI solutions involving Generative AI, Agentic AI, LLMs, Multimodal Models, NLP and Machine Learning. with a focus on Agents and Agentic Workflows. 
</li><li>
Designing pipelines, algorithms, agentic workflows and ML models for solving the business problems, based on client communication and research. 
</li><li>
Collaborating with cross-functional teams to integrate and deploy AI components in solutions.</li></ul></div><h3 class="jobSectionHeader"> 
Requirements</h3><ul><li>
0.5-1 year experience working on Machine Learning and Artificial Intelligence related jobs. 
</li><li>
BS degree in CS, SE, IT, EE, DS, AI or relevant field. 
</li><li>
Good Python programming, problem solving and algorithm design skills. 
</li><li>
Knowledge and experience in Generative AI, LLMs, Agentic AI and NLP, including LLM frameworks and techniques like LangChain, LangGraph, LlamaIndex, N8N, CrewAI, Google ADK, Prompt Engineering, Context Engineering, RAG, Agents and LLM Fine-tuning. 
</li><li>
Knowledge of Machine Learning and Deep Learning theory and implementation, with expertise in using libraries like SciKit-Learn, TensorFlow, PyTorch and Huggingface-transformers etc. 
</li><li>
Experience working on deployment, orchestration and API serving of LLM based and Agentic AI systems. 
</li><li>
Experience working on Data Wrangling, Data Engineering and Vector DBs. 
</li><li>
Knowledge and experience in Data Analysis, Statistics and Data Visualization. 
</li><li>
Staying up to date with the latest AI research, advancements and tools. 
</li></ul><div>
Office Location: Business Hub, DHA phase VIII, Lahore.</div></div></div></div>

Associate AI/ML Engineer_01

Force Cloud LLC

We are looking for a Senior AI/ML Engineer to join our growing AI services company as a core technical leader. In this role, you will design, build, and deploy production-ready AI/ML solutions across computer vision, NLP, and generative AI, while mentoring engineers and helping scale the team.What You&rsquo;ll Do<ul><li>Design and develop end-to-end AI/ML solutions, from data preparation to deployment, across domains such as vision, NLP, GenAI, and predictive systems.</li><li>Build scalable ML pipelines, define best practices, and establish engineering standards.</li><li>Lead technical decision-making, including model selection, code reviews, and debugging complex issues.</li><li>Mentor and guide junior engineers, promoting a strong culture of learning and innovation.</li><li>Collaborate with clients and cross-functional teams to deliver accurate, scalable, and reliable AI solutions.</li><li>Stay up to date with emerging AI/ML trends and technologies to keep solutions future-ready.</li></ul>What You Bring<ul><li>3+ years of hands-on experience building and deploying machine learning models in production environments.</li><li>Strong expertise in:</li><li>Computer Vision: CNNs, OpenCV, TensorFlow/PyTorch, transfer learning, object detection and segmentation.</li><li>NLP: Transformer models (BERT, T5, GPT), embeddings, tokenization, HuggingFace, spaCy/NLTK.</li><li>Generative AI: LLM orchestration (LangChain), RAG pipelines, chatbots, prompt engineering, vector databases (FAISS, Pinecone).</li><li>Strong ML fundamentals, including classical algorithms, feature engineering, and model evaluation using Python, Scikit-learn, XGBoost, or LightGBM.</li><li>Excellent communication, problem-solving, and mentorship skills with experience leading teams technically.</li></ul>Job Type: Full-timeWork Location: In person

AI / ML Developer and Engineer

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