5 Semantic Kernel Jobs

candidates with experience in Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel), LLM who are passionate about product development and AI/ML Engineering.

Job Details: Position Title : AI Engineer Azure AI & Copilot Development Job Locatio n: Remote/Hybrid/Onsite Experience : 3-6 years. Job Summary We are looking for an AI Engineer to join our team and help us build intelligent solutions using Azure AI Foundry , Semantic Kernel , and Azure OpenAI . You will work on projects involving large datasets, smart copilots, and AI-driven automation for enterprise use cases. KEY RESPONSIBILITIES: Design and build intelligent agents using Azure AI Foundry and Semantic Kernel . Integrate LLMs (GPT-4, GPT-3.5) with enterprise data using Azure Cognitive Search and vector-based retrieval . Build Retrieval-Augmented Generation (RAG) pipelines to answer complex queries from structured/unstructured data. Develop custom skills, plugins, and workflows using Semantic Kernel Planner and Function Calling . Connect to and query data sources like Azure SQL, Synapse, Cosmos DB , and Data Lake using APIs or SDKs. Collaborate with frontend/backend teams to embed copilots in React or .NET-based applications. Use Azure Functions, Logic Apps, or Power Automate for task automation and backend orchestration. Deploy and secure solutions using Azure App Services, Containers , and Azure AD authentication . SKILLS & QUALIFICATIONS: Hands-on experience with Azure OpenAI , Cognitive Search , and Semantic Kernel . Good understanding of LLM-based agents , prompt engineering, and tool-use workflows. Proficiency in Python or .NET Core for backend development. Familiarity with REST APIs , data transformation , and cloud pipelines . Experience with cloud integration on Azure . Nice to Have Prior experience building copilots, chatbots, or knowledge assistants. Exposure to multi-agent architectures or agentic AI . Microsoft certifications (AI-900, AI-102, DP-203) are a plus. Why Work With Us Work on cutting-edge AI, Agentic AI, and Generative AI solutions. Flexible work setup with a fast-paced innovation culture. Exposure to real-world enterprise challenges and global client projects. Perks & Benefits Health & Accident Insurance Paid Leaves and Sick Leaves Education sponsorship / Certification Reimbursement Free Training Platforms Gym membership EPF, Gratuity. US Based Clients Onsite Opportunities to US.

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients . Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Principal Consultant , Generative AI + Agentic AI ! In this role, we are seeking a highly skilled and experienced AI Engineer with hands-on expertise in Generative AI, AWS Bedrock, Azure Open AI, Document Intelligence tools, Huggingface , Agentic AI, and Advanced Data Pipelines . It%27s platforms semantic kernel, autogen , langchain . Responsibilities Architect and implement advanced generative AI models, focusing on applications such as image and text generation, image and document extraction, RAG, Prompt engineering, and synthetic data generation. Advanced Prompt Engineering techniques. Stay at the forefront of AI/ML and generative AI advancements, driving the adoption of new technologies and best practices within the team. Develop, fine-tune, and optimize generative AI models, ensuring they meet performance, scalability, and business objectives . Firm grasp on tools to compare outputs of each model and compare against each other. Apply solid data science principles to enhance AI/ML models, using statistical analysis and machine learning techniques to improve model accuracy and efficiency. Work closely with data engineers, software developers, and product managers to integrate generative AI models into products and services, aligning with business objectives . Ensure that AI models are designed and deployed with ethical considerations, adhering to industry standards and regulatory requirements. Qualifications we seek in you! Minimum Q ualifications / Skills B achelor&rsquos or M aster&rsquos degree in computer science, AI, Machine Learning, Data Science, or a related field, with 5+ years of experience in AI/ML, particularly with generative AI models. Strong expertise in developing and deploying generative AI models. Proficiency in Python and experience with AI development libraries such as TensorFlow and PyTorch . Experience with Azure OpenAI, Open Source LLMs, and LangChain . Solid experience in applying data science principles, including statistical analysis, data preprocessing, and machine learning, to enhance AI/ML models. Preferred Q ualifications / Skills Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning. Familiarity with NLP or computer vision related to generative AI applications. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit Follow us on X , Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training .

Req ID: 327886 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AI & LLM Engineer - Digital Engineering Sr. Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN). Software Engineer - LLM & Agentic AI Systems Design and build intelligent agents using LLMs that can autonomously complete tasks via planning, reasoning, and tool use. Develop backend services and APIs to support AI agent workflows and integrations. Implement planning frameworks (e.g., ReAct, AutoGPT, BabyAGI, LangGraph) and decision-making loops using LLMs. Build, test, and optimize LLM-based applications with tools like LangChain, LlamaIndex, or Semantic Kernel. Create and manage pipelines that connect LLMs to tools, APIs, and databases in real-time. Collaborate with ML/AI researchers, data engineers, and product teams to ship LLM-powered experiences. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Job Description: We are seeking a highly skilled and passionate AI/ML Engineer with strong expertise in Generative AI and Large Language Models (LLMs) . The ideal candidate will have hands-on experience in building, fine-tuning, and deploying agentic AI systems using modern GenAI frameworks. You will work on cutting-edge projects involving prompt engineering , RAG pipelines , and memory architectures such as vector databases. Responsibilities: Design and implement AI/ML solutions using modern LLM architectures and agentic AI concepts . Build and optimize intelligent agents using frameworks such as LangChain, AutoGen, CrewAI , or Semantic Kernel . Develop and fine-tune generative AI models with Transformers , HuggingFace , OpenAI API , etc. Implement and enhance Retrieval-Augmented Generation (RAG) pipelines and memory systems like vector databases (e.g., FAISS, Pinecone). Write high-performance Python code to support experimentation, model integration, and API interactions. Collaborate cross-functionally with product, design, and engineering teams in an agile development environment. Deploy AI solutions on cloud platforms (AWS, Azure, or GCP) with a focus on scalability and performance. Stay updated with the latest advancements in the AI/ML/GenAI space. Required Experience: 3 to 8 years of experience in AI/ML , with at least 1 year in Generative AI / LLM-based projects . Proven expertise in Python programming and related libraries for ML/GenAI. Hands-on experience with one or more GenAI frameworks (LangChain, AutoGen, etc.). Solid understanding of prompt engineering , RAG , vector DBs , and agent-based systems . Cloud deployment experience (AWS, Azure, or GCP) is a must. Strong analytical and problem-solving skills.