13 Genrative Ai Jobs

Seeking Senior QA Engineer to ensure the quality, reliability, and security of our cloud-native GenAI governance framework. Must develop and maintain automated tests (e.g., Cypress, Playwright, Selenium) for SaaS environments. Required Candidate profile Cloud-native architectures & GenAI workflows. Practical exp. with leading cloud platforms (AWS, Azure, or GCP) & (Docker, Kubernetes). Test automation frameworks (e.g., Cypress, Playwright, Selenium).

Responsibilities: * Collaborate with IT teams on project requirements and deliverables. * Design, develop, test & maintain ServiceNow applications using GenRative AI.

Lead - Data Scientist About the Role: We are seeking a highly skilled and GCP-certified AI/ML Engineer with expertise in Generative AI models , Natural Language Processing (NLP) , and cloud-native development . This role involves designing and deploying scalable ML solutions, building robust APIs, and integrating AI capabilities into enterprise applications. The ideal candidate will also have a solid background in software engineering and DevOps practices. Key Responsibilities: Design, develop, and implement GenAI and NLP models using Python and relevant libraries (Transformers, LangChain, etc.) Deploy ML models and pipelines on GCP (Vertex AI, BigQuery, Cloud Functions) and Azure ML/Azure Services Develop and manage RESTful APIs for model integration Apply ML Ops and CI/CD best practices using tools like GitHub Actions, Azure DevOps, or Jenkins Ensure solutions follow software engineering principles , including modularity, reusability, and scalability Work in Agile teams, contributing to sprint planning, demos, and retrospectives Collaborate with cross-functional teams to define use cases and deliver PoCs and production-ready solutions Optimize performance and cost efficiency of deployed models and cloud services Maintain strong documentation and follow secure coding and data privacy standards Required Skills: Strong programming skills in Python with experience in ML & NLP frameworks (e.g., TensorFlow, PyTorch, spaCy, Hugging Face) Experience with Generative AI models (OpenAI, PaLM, LLaMA, etc.) Solid understanding of Natural Language Processing (NLP) concepts like embeddings, summarization, NER, etc. Proficiency in GCP services Vertex AI, Cloud Run, Cloud Storage, BigQuery (GCP Certification is mandatory) Familiarity with Azure ML / Azure Functions / Azure API Management Experience in building and managing REST APIs Hands-on with CI/CD tools and containerization (Docker, Kubernetes is a plus) Strong grasp of software engineering concepts and Agile methodology Preferred Qualifications: Bachelors or Master’s in Computer Science, Data Science, or related field Experience working with cross-platform AI integration Exposure to LLM Ops / Prompt Engineering Certification in Azure AI Engineer or Azure Data Scientist is a plus Location: Chennai, Coimbatore, Pune, Bangalore Experience : 8 -12 Years Interested candidates please share your updated CV to deepshikha.mahato@kanini.com

Primary Skills ITSM automation SME, conversational AI architects and consultants RPA automation, self-healing solutions architects and consultants Observability tools (APM and infra) SMEs AI Ops architects and consultants L3 solutions architects and consultants CloudOps / FinOps consultants AI architects, Agentic AI SMEs Role and Responsibilities Hands on experience on ITSM automation, should have worked as SME, conversational AI architects and consultants. have the working experience with L3 solutions architects on Gen AI driven impact analysis, Gen AI driven code generation Excellent problem solving/analytical skills and complex troubleshooting methods. Excellent presentation, verbal, and written communication skills. Good and adaptable with : ITSM, ServiceNow (interchangeable with SNOW), NowAssist, BMC Helix, BMC Remedy, BMC Helix RemedyForce

Design develop & deploy web app using Next.js & modern frameworks Integrate & utilize LLM or Gen AI APIs Build resp UI/UX & dynamic pages with SSR & SSG using Next.js. Collab with data scientists AI engineers & UX/UI designers to bring AI features Required Candidate profile 3–6+ yrs of exp in full stack or front-end developer. Proficiency in Next.js, React.js JavaScript/TypeScript. Exp in working with LLMs integrating GenAI tools/APIs in real world app

Senior Data Scientist About the Role: We are seeking a highly skilled Senior Data Scientist with expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services. The ideal candidate will be responsible for designing, developing, and deploying advanced AI/ML models to drive data-driven decision-making. This role requires strong analytical skills, proficiency in AI/ML technologies, and experience with cloud-based solutions. Key Responsibilities: Design and develop ML, NLP, and GenAI models to solve complex business problems. Build, train, and optimize AI models using Python and relevant ML frameworks. Implement Azure AI/ML services for scalable deployment of models. Develop and integrate APIs for real-time model inference and decision-making. Work with large-scale data to extract insights and drive strategic initiatives. Collaborate with cross-functional teams, including Data Engineers, Software Engineers, and Product Teams, to integrate AI/ML solutions into applications. Implement CI/CD pipelines to automate model training, deployment, and monitoring. Ensure adherence to software engineering best practices and Agile methodologies in AI/ML projects. Stay updated on cutting-edge AI/ML advancements and continuously enhance models and algorithms. Conduct research on emerging AI/ML trends and contribute to the development of innovative solutions. Provide technical mentorship and guidance to junior data scientists. Optimize model performance and scalability in a production environment. Required Skills & Qualifications: Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Hands-on experience in NLP techniques, including transformers, embeddings, and text processing. Expertise in Generative AI models (GPT, BERT, LLMs, etc.). Strong knowledge of Azure AI/ML services, including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Experience in developing APIs for model deployment and integration. Familiarity with CI/CD pipelines for AI/ML models. Strong understanding of software engineering principles and best practices. Experience working in an Agile development environment. Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. Strong background in statistical analysis, data mining, and data visualization. Location: Chennai, Coimbatore, Pune, Bangalore Interested candidates please share your updated CV to deepshikha.mahato@kanini.com

About Everest Group Everest Group is a research firm focused exclusively on IT, business process, and engineering services this specialization results in a depth of expertise that our clients find invaluable when making critical, strategic decisions related to their use and delivery of sourcing services. The Global 1000 the largest and most complex companies of the world use our services to guide their journeys to achieve heightened operational and financial performance, accelerated value delivery, and high-impact business outcomes. Founded in 1991, we serve clients around the world. For more information, visit www.everestgrp.com Everest Group is with you on the journey. We are committed to empowering team members to develop their potential, share their authentic selves, and inclusively engage. This means we continually celebrate the diverse journeys different individuals cultivate. We hire great people from a wide variety of backgrounds, not just because it is the right thing to do, but because it makes our company stronger. If you share our values and enthusiasm for solving challenges, you will find a home at Everest Group. Job overview As part of the Business Operations & Technology (BOT) team, the Developer will lead the design, development, and implementation of automation and AI-based solutions, including those powered by Large Language Models (LLMs). The ideal candidate should have a strong background in Python, gen AI, and business process automation, and will work closely with cross-functional teams to drive digital transformation across the organization. Key responsibilities Collaborate with cross-functional teams to understand business needs and identify automation opportunities Develop and deploy custom GPTs and other generative AI tools, including agents, to support internal productivity use cases Fine-tune Large Language Models (LLMs) and optimize prompt engineering strategies for specific business applications Design and implement automation workflows for tasks such as Excel reporting, PowerPoint creation, etc. Everest Group complies with the GDPR, CCPA/CPRA and other data protection regulations. For more information on how Everest Group processes your personal information, please read our Privacy Notice (www.everestgrp.com/privacy-noticefor-applicants-employees-and-contractors/). By submitting this application, you indicate that you have read and understand our privacy terms and consent to the processing of your personal information by us. To exercise your data subject rights under GDPR, CCPA/CPRA you can fill in our form available at Data Rights Everest Group (everestgrp.com). You can email your data protection request to privacy@everestgrp.com. Everest Group is an equal opportunity employer. We have a culture of inclusion, and we provide equal opportunities for all applicants and employees, including those with disabilities. We are committed to providing an environment that is free of all discrimination and harassment and to treating all individuals with respect. Integrate internal tools with third-party platforms (e.g., Salesforce, SharePoint, Zoho, ADP, OneDrive) using APIs or automation frameworks Maintain and monitor deployed solutions, ensuring high availability, scalability, and user adoption Stay current with advancements in AI and automation technologies to continuously improve Everest Groups internal tech landscape Skills & activities Proficiency in Python for scripting and automation tasks Strong understanding of LLMs, prompt engineering, and the OpenAI ecosystem including API connections Experience with VBA for Excel automation and macros Working knowledge of REST APIs and how to integrate with other systems like Salesforce, SharePoint, Zoho, ADP, and OneDrive Familiarity with SQL and cloud-based platforms is a plus Experience with developing AI agents is a plus Experience with Jira and custom GPTs is a plus Ability to work independently and in collaboration with diverse teams Strong problem-solving mindset with attention to both technical detail and business impact Clear and effective communication skills, both written and verbal Education & experience Bachelors degree or diploma in Computer Science, Information Systems, or related fields Minimum 3 years of experience in software or automation development, with at least 12 years focused on AI/LLM-based implementations

Job Title: GenAI Engineer (Senior/Lead) Industry: AI/ML, Enterprise Applications, Healthcare (if applicable) Overall Experience: 8 to 10 Years Immediate joiners Chennai is preferred( Anywhere in India ) Role Summary: Person with good Python coding and Generative AI solutions We are seeking an experienced GenAI Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration. Key Responsibilities: • AI Application Development: Build and maintain Python-based AI services using Lang Chain and CrewAI. Implement RAG-based retrieval and Agentic AI workflows. • LLM Integration & Optimization: Integrate OpenAI, Bard, Claude, Azure OpenAI APIs. Optimize API calls using temperature, top-p, max tokens, and reduce hallucinations using embedding-based retrieval (FAISS, Pinecone). • Model Evaluation & Performance Tuning: Assess AI models using Model Scoring, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications. • API & Microservices Development: Design scalable RESTful API services. Secure AI endpoints using OAuth2, JWT authentication, and API rate limiting. • Cloud Deployment & Orchestration: Deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines. Implement Lang Chain for AI workflow automation. • Agile Development & Innovation: Work in Scrum teams, estimate tasks accurately, and contribute to incremental AI feature releases. Tech Stack & Tools: • AI/ML: PyTorch, TensorFlow, Hugging Face, Pinecone • LLMs & APIs: OpenAI, LangChain, CrewAI • Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD • Security & Compliance: OAuth2, JWT, HIPAA Preferred Qualifications: • 8+ years of overall experience with a minimum of 4 years in AI/ML, LLM integrations, and enterprise cloud solutions. • Proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval. • Strong knowledge of scalable AI architectures and security best practices.

JD is below: Design, develop, and deploy generative AI based applications using AWS Bedrock. Proficiency in prompt engineering and RAG pipeline Experience in building Agentic Generative AI applications Fine-tune and optimize foundation models from AWS Bedrock for various use cases. Integrate generative AI capabilities into enterprise applications and workflows. Collaborate with cross-functional teams, including data scientists, ML engineers, and software developers, to implement AI-powered solutions. Utilize AWS services (S3, Lambda, SageMaker, etc.) to build scalable AI solutions. Develop APIs and interfaces to enable seamless interaction with AI models. Monitor model performance, conduct A/B testing, and enhance AI-driven products. Ensure compliance with AI ethics, governance, and security best practices. Stay up-to-date with advancements in generative AI and AWS cloud technologies. Required Skills & Qualifications: Bachelor's or Masters degree in Computer Science, AI, Machine Learning, or a related field. 3+ years of experience in AI/ML development, with a focus on generative AI. Hands-on experience with AWS Bedrock and foundation models. Proficiency in Python and ML frameworks. Experience with AWS services such as SageMaker, Lambda, API Gateway, DynamoDB, and S3. Experience with prompt engineering, model fine-tuning, and inference optimization. Familiarity with MLOps practices and CI/CD pipelines for AI deployment. Ability to work with large-scale datasets and optimize AI models for performance. Excellent problem-solving skills and ability to work in an agile environment. Preferred Qualifications: AWS Certified Machine Learning – Specialty or equivalent certification. Experience in LLMOps and model lifecycle management. Knowledge of multi-modal AI models (text, image, video generation). Hands-on experience with other cloud AI platforms (Google Vertex AI, Azure OpenAI). Strong understanding of ethical AI principles and bias mitigation techniques.

Job Title: Senior UI/UX Designer Location: Hyderabad (Remote) Duration: 6 Months (Possible Extension) Experience Required: Minimum 12 Years Job Type: Contract About the Role We are seeking a Senior UI/UX Designer with a strong background in designing intuitive, user-centric digital products for both B2B and B2C applications. The ideal candidate will have hands-on experience working in startup environments , contributing to fast-paced, AI-driven product development. This role requires a strategic thinker with exceptional design skills, leadership capabilities, and a proven track record of delivering impactful experiences across responsive web and mobile platforms. Key Responsibilities Lead end-to-end UX/UI design for responsive applications (desktop, tablet, mobile). Drive user-centered design strategies that align with business goals and technical constraints. Collaborate with cross-functional teams including Product Managers, Developers, and Business Stakeholders. Participate in Agile/Scrum ceremonies and guide the team toward design excellence. Produce user flows, wireframes, interactive prototypes, and pixel-perfect UI mockups using Figma . Conduct usability testing and leverage findings to refine and improve design outcomes. Maintain consistency in design patterns, visual language, and branding across platforms. Effectively present design concepts, decisions, and trade-offs to stakeholders and leadership. Required Skills 12+ years of hands-on experience in UI/UX design, with a focus on consumer-facing and enterprise-level (B2B) products. Experience working on Generative AI or other AI-powered digital products. Startup experience is mandatory must thrive in a dynamic, fast-paced, and evolving environment. Proficiency in Figma and other modern design/prototyping tools. Deep understanding of responsive design principles and accessibility standards . Demonstrated experience building and testing prototypes across different devices and platforms. Familiarity with Agile methodologies and direct involvement in Scrum teams . Strong communication, leadership, and stakeholder management skills. Exposure to unit testing is a plus.

Location: Remote Programming Skills : Proficiency in programming languages such as Python, JS/NodeJS, and .NET Machine Learning Frameworks : Familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn. Experience in selecting and implementing appropriate algorithms for specific tasks is highly valuable. Data Handling and Processing : Experience with data manipulation and analysis using tools like Pandas or NumPy. Understanding how to preprocess data, handle unstructured data, and create datasets for training models is crucial. Deep Learning : Knowledge of deep learning concepts and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, especially for tasks related to image recognition, natural language processing, and more. Software Development Practices : Familiarity with software development methodologies, version control systems (like Git), and DevOps principles to ensure smooth integration and deployment of AI models. Cloud Computing : Experience with cloud-based services and platforms (e.g., AWS, Google Cloud, Azure) that provide tools for machine learning and AI deployment. System Design : Ability to design scalable AI systems, including understanding architecture patterns, APIs, and microservices for integrating AI models into broader applications. Problem Solving : Strong analytical and problem-solving skills to identify the best AI solutions for various challenges and to troubleshoot issues that arise during implementation. Collaboration and Communication : Experience in working collaboratively with cross-functional teams, including data scientists, software engineers, and business stakeholders, to align AI solutions with business objectives. Hands-on Experience : 5-7+ years of technical implementation experience What would be great to have: Experience in the FinancialServices Industry and an understanding of relevant compliance standards and regulations. Certification in AI/ML or relevant technologies. Experience with reporting tools like Splunk, SSRS, Cognos, and Power BI

Looking for a Generative AI Engineer to develop groundbreaking AI solutions, especially LLMs. You'll design and implement models that will directly impact our core products and shape the future of AI. Required Candidate profile -Design, develop, and implement Generative AI models, with a focus on Large Language Models (LLMs). -Optimize and improve the efficiency, scalability, and performance of Generative AI models.-

Job Description: Technical Manager Company: Karini AI Location: Pune (Wakad) Experience Required: 6 - 11 years About Us: At Karini AI, we enable businesses to harness the power of Generative AI effortlessly, freeing them from skill and infrastructure development complexities. Our cutting-edge platform lets you quickly turn your innovative ideas into reality, transforming them from initial concepts to full production within minutes. Designed with stringent enterprise-level security and governance, along with robust AI safety measures, Karini AI meets the most demanding compliance standards. Our platform provides access to the latest in Large Language Models (LLMs) and a versatile experimentation environment, ensuring flexibility and top-tier quality to build user trust. We offer detailed operational dashboards to track Generative AI usage, performance, and trends and manage costs effectively. Staying at the forefront of scientific advancement and the evolving landscape of models, Karini AI eliminates technical debt. Our no-code approach to Generative AI application deployment ensures you dont compromise on quality or speed when bringing products to market. Karini AI is adaptable and perfect for various applications, including virtual assistants, text generation, summarization, Q&A, semantic search, classification, and image creation. #Kariniai Role Overview: We seek a dynamic Technical Manager with a strong technical background and proven experience managing high-performing product software engineering teams. You will play a pivotal role in leading the development of innovative software products while ensuring excellence in execution. You will directly report to the Ex-Amazon founding team to learn from the best and be part of the fastest growing disruptor. Key Responsibilities: Team Leadership: Manage, mentor, and grow a team of software, QA, and AI engineers. Foster a culture of collaboration, innovation, and continuous learning. Technical Ownership: Oversee the architecture and development of full-stack applications, microservices, and Python-based systems. Provide technical guidance and ensure the implementation of best practices in coding, architecture, and scalability. Product Development: Drive the development and delivery of software products from conception to deployment. Collaborate with cross-functional teams, including Product Management, Data Science, and QA, to define and execute product roadmaps. Agile Practices: Champion Agile methodologies and ensure effective use of tools like Jira for sprint planning, tracking, and reporting. Optimize workflows to enhance productivity and transparency. Generative AI and Machine Learning Integration: Leverage expertise or interest in Generative AI and Machine Learning to contribute to product innovation. Partner with AI/ML teams to integrate advanced features into software solutions. Hybrid Collaboration: Coordinate and align with hybrid teams across different time zones. Maintain effective communication channels to ensure seamless collaboration. Key Qualifications: Experience: 5+ years of experience managing software engineering teams with 6+ years of overall experience in Software development. Proven track record in building and delivering scalable software products. Technical Skills: Expertise in full-stack development, microservices architecture, and Python programming. Mastery of Agile methodologies and Jira. Strong system design and architectural skills in AWS, Azure or GCP cloud Soft Skills: Excellent communication, leadership, and decision-making skills. Ability to manage hybrid teams effectively. Advantageous Skills: Knowledge of Generative AI, Machine Learning, and related technologies. Familiarity with cloud platforms such as AWS, Azure, or GCP. Education Qualification: Mandatory: Bachelor of Engineering in Computer Science, Information Technology, or any other engineering discipline. Preferred: M.Tech, M.E. & B.E. Computer Science Why Join Us? Work with the Ex-Amazon Founder Team directly to disrupt the industry Employee Benefits such as Medical Insurance, Flexible work culture, and participation in company stock units Work on innovative AI-driven products that solve complex problems. Collaborate with a talented and passionate team in a dynamic environment. Opportunities for professional growth and skill enhancement in Generative AI A supportive, inclusive, and flexible work culture that values creativity and ownership.