338 Prompt Engineering Jobs

As a skilled professional in Python programming, you will utilize your hands-on experience in Python LangChain programming to implement Generative AI based solutions using Infosys and industry standard tools and platforms. Your expertise in using Traditional AI/ML Models in SDLC will be crucial in the development process. You will also leverage Azure AI Services in projects to enhance the efficiency and effectiveness of AI solutions. Your knowledge and experience in Generative AI Concepts such as Advanced Prompt Engineering, RAG, and leveraging LLMs will be instrumental in creating innovative and cutting-edge solutions. Excellent communication and analytical skills are essential for this role to effectively collaborate with cross-functional teams and ensure that prompts align with company objectives and user experience. Additionally, you will implement prompt engineering techniques to evaluate model behavior under various input conditions and refine prompts for better accuracy and desired results. Your responsibilities will include performing AI assurance to test AI-infused applications, identifying and reporting bugs, performance bottlenecks, and safety issues. Staying up-to-date with the latest advancements in Generative AI and testing methodologies is also a key aspect of this role to ensure the continuous improvement of AI solutions. While knowledge about Agentic AI Frameworks, Commercial GenAI Platforms/Tools (Optional), and OpenAI models is important, your main focus will be on implementing Generative AI solutions and ensuring their effectiveness and reliability. Your attention to detail and ability to identify and address issues will contribute to the overall success of AI projects.,

You are a highly experienced FinTech Academic Expert, sought to join our team full-time. As a domain expert with profound knowledge in fintech, excellent communication skills, and a dedication to training, content development, and thought leadership, you will play a crucial role in connecting fintech product expertise with educational innovation. Your responsibilities include designing and producing top-notch educational materials, case studies, and technical guides within the fintech domain. Your role will also involve staying updated on global fintech trends and incorporating these insights into learning content and internal training sessions. You will conduct sessions for employees, partners, or students to enhance their comprehension of fintech tools and technologies. Additionally, you will provide domain-specific knowledge to support fintech product design, testing, and rollout with a focus on user understanding. In terms of skills and tools, you must be proficient in Advanced Excel, Prompt Engineering, Agentic AI frameworks, MCP (Model Context Protocol), and have coding experience in Java, Python, or R. It would be advantageous to have experience with tools such as Bloomberg Terminal for Financial Markets, Ethereum/Blockchain development, TensorFlow, or other AI/ML toolkits, as well as familiarity with Agile and Kanban methodologies. Your other skills should include strong verbal and written communication, the ability to simplify complex concepts into easily understandable learning modules, a passion for education, innovation, and industry transformation. To be considered for this role, you should have a minimum of 5+ years of industry experience in fintech, financial services, or banking. Prior experience in teaching, mentoring, or training is highly desirable, and product development or product management experience in a fintech environment is a significant advantage.,

You will be working with a large-scale/global company located in Viman Nagar, Pune, requiring 5-8 years of experience in software/application development. As a part of your role, you will lead scalable, high-performance application architecture, develop enterprise-grade applications, manage Azure DevOps processes, and conduct solution design and RCA documentation while interacting with cross-functional teams. The ideal candidate should have a Graduation in Computers/Electronics or Post-Graduation in Computer Science with 5-8 years of experience in software/application development. Mandatory technical skills include proficiency in Python, FastAPI, React/TypeScript, Langchain, LangGraph, AI Agents Docker, Azure Open AI, and Prompt Engineering. Knowledge in AWS (Secrets Manager, IAM, ECS/EC2), Azure AD, Azure DevOps, GitHub, MongoDB (Motor, Beanie ODM), Redis, OAuth2/SAML, JWT, Azure AD integration, and audit logging is required. Additionally, soft skills such as problem-solving, mentoring, and technical communication are essential for this role. Joining this company will expose you to a rewarding work culture where your contributions will define the success of the organization. Bajaj Finance Limited is a leading Non-banking financial company in India and ranks among Asia's top 10 Large workplaces. With over 500 locations across India, this is an opportunity for individuals driven to excel in their careers.,

As a ML Specialist GenAI at Claidroid Technologies Pvt. Ltd., your primary responsibility will be to design, develop, and deploy scalable Generative AI systems. This role involves implementing LLM agents, RAG architectures, and MLOps pipelines, and managing the full GenAI product lifecycle. You will lead AI developers, build solutions using LLMs, Diffusion Models, and GenAI agents, and fine-tune models with LangChain, LangGraph, and promptflow. Deployment will utilize Azure, containerization, and CI/CD practices. It will be your duty to ensure model observability, optimize performance and cost, apply ethical AI principles, and effectively communicate insights to stakeholders. This position is based in Pune/Trivandrum with options for WFH/Hybrid, working from 11 AM to 8 PM IST, suitable for candidates with under a 30-day notice period. To excel in this role, you should possess 5-10 years of experience in ML Engineering and Generative AI. Proficiency in technologies like LLMs, RAG, Prompt Engineering, LangChain, LangGraph, promptflow, and Autogen is essential. Strong skills in Python, PyTorch/TensorFlow, FastAPI, and AsyncIO are required. Experience with CI/CD pipelines (specifically GitHub Actions), Docker, Kubernetes, Azure cloud services (preferred), or AWS/GCP is advantageous. Additionally, expertise in MLOps, model deployment, monitoring, performance tuning, and understanding of Responsible AI principles, bias mitigation, and model explainability are crucial for this role. Claidroid Technologies is a leader in digital transformation, specializing in Enterprise Service Management and Enterprise Security Management solutions. With headquarters in India and offices in Helsinki, Finland, and the USA, we aim to deliver bespoke services to a wider audience globally. Joining our team offers competitive compensation, a hybrid working model, generous benefits such as comprehensive health insurance and performance bonuses, as well as ample opportunities for career growth in a dynamic and innovative environment. Be part of our collaborative and inclusive work culture that values your contributions and supports your professional development.,

As a Software Engineer with a minimum of 5 years of experience, you will be responsible for developing and implementing software solutions using Python, primarily focusing on integrating and utilizing Generative AI models. Your role will involve applying Prompt Engineering techniques to optimize the outputs of these models and designing software based on a solid understanding of Generative AI use cases. Throughout the software development lifecycle, you will adhere to and apply knowledge of Software Development Methodologies, ensuring efficient and effective project delivery. Working within a DevSecOps process and tools environment, you will contribute to automation, security, and operational efficiency. Collaboration with cross-region and global teams will be a key aspect of your role, necessitating excellent communication and coordination skills. Writing clean, maintainable, and well-tested code will be essential, along with utilizing version control systems such as Git for source code management. In addition to your technical responsibilities, you will be expected to manage your tasks effectively, prioritize work independently, and organize your responsibilities under time and workload pressure. Participation in code reviews, technical discussions, and problem-solving activities will also be part of your routine tasks. The ideal candidate for this position must have mandatory experience in Python, knowledge of Prompt Engineering, and a solid understanding of Generative AI models and their use cases. Proficiency in Software Development Methodologies, DevSecOps processes and tools, and version control systems like Git is required. Excellent analytical and problem-solving skills, along with strong soft skills in communication and collaboration, are essential for this role. Candidates with experience in specific Generative AI models or platforms, cloud platforms and AI/ML services, MLOps or AIOps practices, Python web frameworks, data science libraries, and containerization will be considered advantageous. Advanced spoken and written English skills are certainly useful for cross-region collaboration. This position is based in Indore, India, and is a Work from Office (WFO) role. Candidates from other locations must be open to relocating to Indore.,

As an AIML - LLM Gen AI Engineer, your primary responsibility will be to design, develop, and implement solutions using transformer-based models for various Natural Language Processing (NLP) tasks. This includes tasks such as text generation, summarization, question answering, classification, and translation. You will be working extensively with transformer models like GPT, BERT, T5, RoBERTa, and similar architectures. Your deep understanding of model architectures, attention mechanisms, and self-attention layers will be crucial in effectively utilizing Large Language Models (LLMs) to generate human-like text. You will lead efforts in fine-tuning pre-trained LLMs and other transformer models on domain-specific datasets to optimize performance for specialized NLP tasks. In your role, you will apply your knowledge of attention mechanisms, context windows, tokenization, and embedding layers in model development and optimization. It will be essential to address and mitigate issues related to biases, hallucinations, and knowledge cutoffs that can impact LLM performance and output quality. You will craft clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs, including the use of instruction-based prompting. Additionally, you will implement and experiment with zero-shot, few-shot, and many-shot learning techniques to maximize model performance without extensive retraining. Your iterative approach to prompt engineering strategies will involve refining outputs, rigorously testing model performance, and ensuring consistent and high-quality results. You will also be responsible for creating prompt templates for repetitive tasks that are adaptable to different contexts and inputs. Expertise in chain-of-thought (CoT) prompting will enable you to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. Your contribution will span the entire lifecycle of machine learning models in an NLP context, including training, fine-tuning, and deployment. **Required Skills & Qualifications:** - A minimum of 8 years of experience working with transformer-based models and NLP tasks, focusing on text generation, summarization, question answering, classification, and similar applications. - Proficiency in transformer models such as GPT, BERT, T5, RoBERTa, and foundational models. - Strong familiarity with model architectures, attention mechanisms, and self-attention layers for generating human-like text. - Proven experience in fine-tuning pre-trained models on domain-specific datasets for various NLP tasks. - Knowledge of attention mechanisms, context windows, tokenization, and embedding layers. - Awareness of biases, hallucinations, and knowledge cutoffs affecting LLM performance. - Ability to craft clear, concise, and contextually relevant prompts for LLMs. - Experience in zero-shot, few-shot, and many-shot learning techniques. - Proficiency in Python and NLP libraries like Hugging Face Transformers, SpaCy, NLTK. - Solid experience in training, fine-tuning, and deploying ML models in an NLP context. - Strong problem-solving skills and analytical mindset. - Excellent communication and collaboration abilities for remote or hybrid work environments. - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related quantitative field. This role requires a combination of technical expertise in AI/ML, NLP, and transformer models, along with strong problem-solving and communication skills to achieve effective results in the field.,

The Sr. Technical Consultant is responsible for guiding clients through the implementation of ServiceNow GEN AI and platform integration. You will need to effectively communicate with technical and non-technical users and stakeholders to ensure the best fit for the unique needs of their business. As a ServiceNow application developer, you will be responsible for implementing GEN AI, Now Assist, and the ServiceNow platform. This includes working with workflows, integration, configuration, customization, orchestration, and access controls. You should have experience with out-of-the-box and custom use cases using ServiceNow Now Assist for ITSM, Now Assist Skill Kit, Generative AI Controller, Virtual Agent, Predictive Intelligence, and Performance Analytics. Your role will involve troubleshooting issues related to ServiceNow AI and Gen AI applications, aligning use case requirements with stakeholders, designing solutions, and guiding peer developers/team members in development and testing. You should have knowledge of AI concepts such as NLU, Machine Learning, and Prompt Engineering, as well as experience in integrating ServiceNow with ERP systems. Micro-certifications in Predictive Intelligence, Performance Analytics, Virtual Agent, and Now Assist are preferred. Holding certifications such as ServiceNow Certified Implementation Specialist ITSM (CIS-ITSM) and Certified Application Developer (CAD) is also advantageous. You will collaborate with the Scrum Master and Capability owners to prioritize Features, User Stories, and timelines for Platform Maintenance Initiatives. Additionally, you will lead the development efforts of the Scrum team, mentor junior and mid-level Software Engineers, review code, and perform unit testing. It is essential to stay updated on new capabilities in the platform, educate team members and customers, participate in recruiting, interviewing, and hiring new software engineering resources. Required Qualifications: - Bachelor's degree or 5+ years of equivalent experience - Experience leading other engineers - ServiceNow development skills in GEN AI, Automations, ML, etc. - Experience with ITSM processes (Incident/Problem/Request/Change management) - Experience with HRSD processes (Onboarding/Offboarding/Lifecycle event/EC) - Experience with CSM processes - Experience with Web-Services, AJAX, Business Rules, SOAP, REST SSO-SAML Setup, and Integration of ServiceNow to Other Applications - Experience in Virtual agent, Predictive Intelligence, Performance Analytics, and Now Assist - Experience in script includes business rules, Portal development, agent workspace - Experience customizing ServiceNow using UI Builder, UI Pages, UI Macro & CMS using CSS, HTML, Jelly, Angular 1.5 Preferred Qualifications: - ServiceNow IT Service Management or other relevant ServiceNow certifications and GEN AI micro-certifications - Demonstrated knowledge of application design, development, and implementation - Understanding of basic GEN AI Now Assist development concepts - Excellent human relations skills - Experience with maintaining automated testing scripts In summary, as a Sr. Technical Consultant, you will play a crucial role in implementing ServiceNow GEN AI and platform integration, collaborating with stakeholders, mentoring team members, and ensuring the best solutions for clients" unique business needs.,

Webfries is a forward-thinking tech company leading the way in AI innovation, creating intelligent solutions that revolutionize industries. We are currently looking for a skilled AI Engineer to join our dynamic team and contribute to shaping the future of AI-driven applications. If you are enthusiastic about utilizing cutting-edge technologies to address intricate challenges, we are eager to hear from you! As an AI Engineer at Webfries, your role involves bridging the gap between AI research and production-ready systems. You will be responsible for designing, developing, and deploying AI models, ensuring seamless integration with a robust backend infrastructure. Your proficiency in prompt engineering, Cursor (AI-assisted code editor), PostgreSQL, Python, and FastAPI will be essential for delivering scalable and high-performing solutions. Staying updated on industry trends, particularly advancements in LLMs, vector databases, and MLOps, is crucial for this position. Key Responsibilities: Prompt Engineering & LLM Optimization: - Design, test, and refine prompts for large language models like GPT-4, Claude, Deepseek, and Gemini to achieve optimal performance. - Implement retrieval-augmented generation (RAG) and fine-tuning strategies for domain-specific tasks. AI Model Development: - Build, train, and deploy machine learning models such as NLP and computer vision using PyTorch/TensorFlow. - Collaborate with data scientists to prototype and iterate on AI solutions. Backend Development: - Develop RESTful APIs with FastAPI to serve AI models at scale. - Optimize database interactions using PostgreSQL and ORM tools like SQLAlchemy. Tooling & Automation: - Utilize Cursor to streamline coding workflows, debug efficiently, and maintain code quality. - Integrate tools such as LangChain, Pinecone, or Hugging Face into production pipelines. Market & Trend Analysis: - Stay informed about AI advancements such as generative AI and vector search, and suggest innovative solutions. - Evaluate new tools/libraries to enhance our tech stack. Requirements: - Bachelors/Masters in Computer Science, Engineering, or a related field. - 3+ years of hands-on experience in AI/ML engineering. - Proficiency in Python, PostgreSQL, and FastAPI. - Expertise in prompt engineering and LLMs like OpenAI and Anthropic. - Experience using Cursor for code optimization and pair programming. - Strong understanding of cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). - Familiarity with version control systems (Git) and CI/CD pipelines. Preferred Qualifications: - Certifications in AI/ML such as AWS ML Specialty or TensorFlow Developer. - Experience with vector databases like Pinecone or Chroma, and MLOps tools like MLflow or TFX. - Contributions to open-source AI projects or publications in ML conferences. What We Offer: - Competitive salary + equity based on experience. - Flexible remote/hybrid work model. - Access to cutting-edge AI tools and training resources. - Collaborative, innovation-driven environment. - Professional development budget for conferences/courses. How to Apply: If you are interested in this position, please send your resume, portfolio (GitHub/GitLab), and a brief cover letter to careers@webfries.com with the subject line "AI Engineer Application [Your Name]." In your cover letter, highlight a project where you used prompt engineering to solve a complex problem. Please note that we are not currently offering internships to students or recent graduates.,

As a Senior Generative AI Azure OpenAI Prompt Engineer with 5 to 8 years of experience, you will be responsible for developing LLM-powered applications on Azure, focusing on real-world use cases such as chatbots, document summarization, decision support systems, and enterprise search through Retrieval-Augmented Generation (RAG). This hybrid role requires expertise in ML engineering, software development, and cloud infrastructure, with a significant emphasis on utilizing Azure's AI ecosystem. Key competencies to look for in candidates include proficiency in LLM Application Development, the ability to build end-to-end applications using GPT-4 or similar technologies, experience in deploying and managing models using Azure's tools and APIs, understanding of prompt engineering with the capability to differentiate between bad, good, and optimized prompts, familiarity with combining LLMs with document retrieval systems like vector databases or Azure AI Search, and knowledge of GenAI Toolkits such as LangChain, Prompt Flow, or Semantic Kernel. Candidates should also demonstrate skills in MLOps and integration by automating and monitoring AI applications using Azure Functions, Logic Apps, or Event Grid, proficiency in writing clean Python code to interact with APIs, handle JSON responses, and integrate with cloud services, as well as possess soft skills including cross-functional communication to translate business needs into technical LLM pipelines, a cost-aware mindset to optimize token usage, and awareness of security, governance, and responsible AI practices related to Azure identity and permissions. If you are interested in this role or know someone who might be a good fit, please reach out to Maithili Nayak at maithili.nayak@accionlabs.com with your detailed latest CV for further discussion and opportunities. Thank you.,

You are a highly experienced AI engineer with 5+ years of experience, possessing a strong background in machine learning, proficient programming skills, and a deep understanding of generative models. Your primary role involves applying your expertise to translate research findings into practical solutions that effectively tackle real-world challenges. It is crucial for you to ensure the reliability and ethical usage of generative AI in the applications you develop. In terms of technical requirements, you must exhibit a strong proficiency in Python for data processing and automation. You should have hands-on experience working with generative AI models and integrating them into data workflows. Additionally, familiarity with prompt engineering and LLM models (Opensource and Closesource) is essential. Experience with application development frameworks like LangChain, LangGraph, and working with REST frameworks such as Fast API, Angular, Flask, and Django is highly beneficial. Knowledge of cloud platforms such as AWS, GCP, Azure, and related services is a plus. Moreover, familiarity with containerization and orchestration tools like Docker and Kubernetes would be advantageous. As a Data Analysis & Simulation Professional, your responsibilities include the following key areas: Data Pipeline Development: - Designing and implementing scalable data pipelines using Python to ingest, process, and transform log data from diverse sources. Generative AI Integration: - Collaborating with data scientists to integrate generative AI models into log analysis workflows. - Developing APIs and services to deploy AI models for real-time log analysis and insights generation. Data Monitoring and Maintenance: - Setting up monitoring and alerting systems to ensure the reliability and performance of data pipelines. - Troubleshooting and resolving issues related to data ingestion, processing, and storage. Collaboration and Documentation: - Working closely with cross-functional teams to comprehend requirements and deliver solutions that align with business needs. - Documenting data pipeline architecture, processes, and best practices for future reference and knowledge sharing. Evaluation and Testing: - Conducting thorough testing and validation of generative models. Research and Innovation: - Staying updated with the latest advancements in generative AI and exploring innovative techniques to enhance model capabilities. - Experimenting with different architectures and approaches to drive innovation. Furthermore, having experience with Snowflake utilization would be considered an asset: - Designing and optimizing data storage and retrieval strategies using Snowflake. - Implementing data modeling, partitioning, and indexing strategies to improve query performance.,

Genpact is a global professional services and solutions firm dedicated to delivering outcomes that shape the future. With over 125,000 employees spread across more than 30 countries, we are characterized by our innate curiosity, entrepreneurial agility, and commitment to creating lasting value for our clients. Our purpose, which is the relentless pursuit of a world that works better for people, drives us to serve and transform leading enterprises, including the Fortune Global 500, by leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist, specializing in Azure Generative AI & Advanced Analytics. In this role, we are seeking a highly skilled and experienced Data Scientist with hands-on expertise in Azure Generative AI, Document Intelligence, Agentic AI, and Advanced Data Pipelines. Your responsibilities will include developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. You will play a crucial role in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines for processing and analyzing large-scale datasets efficiently. - Implement Agentic AI techniques to develop intelligent, autonomous systems that can make decisions and take actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. - Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. - Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Stay up to date with the latest advancements in AI, ML, and data science, and apply best practices to enhance business operations. Qualifications: Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Relevant experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Strong proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is a plus. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. If you are passionate about leveraging your skills and expertise to drive AI-driven insights and automation in a dynamic environment, we invite you to apply for the role of Principal Consultant - Data Scientist at Genpact. Join us in shaping the future and creating lasting value for our clients.,

We are looking for a highly skilled and experienced Senior AI Engineer to take charge of designing, developing, and implementing cutting-edge AI systems. Your role will involve working on advanced machine learning models, natural language processing, computer vision, and AI infrastructure to address real-world challenges and foster innovation across our products and services. As a Senior AI Engineer, your key responsibilities will include designing, developing, and deploying scalable AI/ML models for production environments. You will lead end-to-end AI project lifecycles, starting from data collection and preprocessing to model training, evaluation, and deployment. Collaboration with cross-functional teams comprising data scientists, software engineers, and product managers will be essential. Moreover, you will be tasked with optimizing model performance to ensure robustness, fairness, and explainability, while staying abreast of the latest AI and machine learning research and advancements. Mentoring junior engineers and contributing to the establishment of a robust AI engineering culture will also be part of your role. The ideal candidate should possess a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred) along with a minimum of 5 years of experience in AI/ML engineering, showcasing a strong portfolio of deployed models. Proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, etc., as well as experience with cloud platforms (AWS, Azure) and MLOps tools are required. A solid grasp of data structures, algorithms, and software engineering principles is crucial, along with excellent problem-solving and communication skills. Preferred qualifications for this role include experience with LLMs, RAG, or agentic AI (Crew AI) systems, familiarity with vector databases, prompt engineering, and AI safety practices, contributions to open-source AI projects or published research papers, and experience with real-time inference systems and edge AI.,

You will be joining a technology-driven publishing and legal-tech organization that is currently enhancing its capabilities through advanced AI initiatives. As an experienced AI Solution Architect, your role will involve leading the design, development, and deployment of transformative AI projects. You will work closely with a proficient internal team skilled in .NET, MERN, MEAN stacks, and recent chatbot development using OpenAI and LLaMA. Your responsibilities will include architecting, planning, and delivering enterprise-grade AI solutions utilizing Vector Databases like FAISS and Chroma, RAG Pipelines (Retrieval-Augmented Generation), and LLM techniques such as Pre-training, Fine-tuning, and RLHF (Reinforcement Learning with Human Feedback). You will lead AI solution design discussions, collaborate with engineering teams to integrate AI modules into systems, and guide junior AI engineers and developers on technical aspects. To excel in this role, you should hold a Bachelors or Masters in Computer Science, Engineering, AI/ML, or related fields and have at least 5 years of experience in software architecture with a focus on AI/ML system design and project delivery. Hands-on expertise in Vector Search Engines, LLM Tuning & Deployment, RAG systems, RLHF techniques, and working with multi-tech teams is essential. Strong command over architecture principles, scalability, microservices, API-based integration, and excellent team leadership skills are also required. It would be advantageous if you have experience with tools like MLflow, Weights & Biases, Docker, Kubernetes, Azure/AWS AI services, exposure to data pipelines, MLOps, AI governance, familiarity with enterprise software lifecycle, and DevSecOps practices. Prior experience in delivering a production-grade AI/NLP project with measurable impact is a plus. Stay updated on emerging AI trends and assess their relevance to business objectives to drive AI adoption across products and internal processes.,

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, the mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. In collaboration with leading academics, industry experts, and highly skilled engineers, the goal is to equip customers to generate sophisticated new insights from the biggest of big data. Join the team to do the best work of your career and make a profound social impact as an Advisor on the Data Science Team in Bangalore. As a Data Science Advisor, you will contribute to the business strategy and influence decision-making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. Designing processes to consolidate and examine unstructured data to generate actionable insights will be part of your responsibilities. Additionally, you will partner with business leaders, engineers, and industry experts to construct predictive models, algorithms, and probability engines. You will: - Partner with internal and external teams to understand customer requirements and develop proposals. - Conduct interactions with external customers to gather project requirements, provide status updates, and share analytical insights. - Implement preliminary data exploration and data preparation steps for model development/validation. - Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights. - Solution, build, deploy, and set up monitoring for models. Qualifications: - 6+ years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI. - Working experience in data visualization (e.g., Power BI, matplotlib, plotly). - Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB. - Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management. - Expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks. Desirable Skills: - Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ). - Experience with cloud platforms (e.g., AWS, Azure, GCP). - Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django). - Skilled in programming languages like Java or JavaScript. Dell Technologies is committed to providing equal employment opportunities for all employees and creating a work environment free of discrimination and harassment. If you are looking for an opportunity to grow your career with advanced technology and some of the best minds in the industry, this role might be the perfect fit for you. Join Dell Technologies to build a future that works for everyone because Progress Takes All of Us.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks. Implement multi-agent communication protocols for agent-to-agent collaboration and coordination. Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understanding, generation, and task planning. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance the reasoning capability of agents with external knowledge. Perform fine-tuning of foundational models for specific domains, tasks, or use cases. Design and experiment with lightweight models (e.g., Phi, Tiny LLMs) for efficiency in real-time or on-device scenarios. Collaborate cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver end-to-end AI solutions. Proven experience in developing and deploying Agentic AI systems. Strong experience with LLMs, particularly Metas LLaMA family or similar open-source models. Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and related tools like LangChain, Haystack, etc. Knowledge and experience with model fine-tuning using frameworks like HuggingFace Transformers, PEFT, or LoRA. Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems. Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Transformers, etc. Familiarity with prompt engineering and chaining logic for LLMs. You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. We're committed to ensuring that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.,

You will be working as an AI Engineer specializing in Localization within the AI/ML business unit based in Bangalore. With 2-5 years of experience and a degree in B.E / B.Tech / MS in computer science, you will have the following roles and responsibilities: - As an AI engine creator, you will be involved in training new models, integrating existing models, and applying transfer learning techniques. - Join a dynamic team working on cutting-edge AI solutions for the Media and Entertainment industry. Contribute actively to the development and enhancement of new AI solutions. - Collaborate with Gen AI / LLM solutions, focusing on prompt engineering and prompt optimization for optimal results extraction. - Develop sophisticated solutions that simplify complexity for customers while ensuring cost-effectiveness and efficiency. - Fine-tune accuracies and explore innovative approaches to enhance hypothesis without overfitting. - Demonstrate the ability to handle ambiguity and take the lead in solving industry challenges with little historical reference. - Provide technical and thought leadership within the team. - Possess hands-on experience in Localization, Speech to text, Transcription, and Translation. - Expertise in Computer vision, Open CV, TensorFlow, PyTorch, Python, Neural networks, CNNs, GenAL, Generative AI, LLMs, Prompt engineering, AWS or Azure cloud, Dockers, and K8s/Kubernetes is essential. - Knowledge of GANs, Nano models, Google LLMs (Bard, Gemini), and Hugging face models (Mistral, etc) would be an additional advantage. In addition to your responsibilities, you may also be involved in inventing and patenting new technologies to further enhance AI solutions in the industry.,

The Sr. Technical Consultant is responsible for guiding clients through the implementation of ServiceNow GEN AI and platform integration. You will excel in communication with both technical and non-technical users and stakeholders, fostering a cooperative relationship to tailor solutions to their specific business needs. As a ServiceNow application developer, you will be accountable for implementing GEN AI, Now Assist, and the ServiceNow platform, following best practices for workflows, integration, configuration, customization, and access controls. Your experience should include successful implementations using ServiceNow features like Now Assist for ITSM, Generative AI Controller, Virtual Agent, and Performance Analytics. Proficiency in UI Builder, ServiceNow Scripting, and Flow Designer is essential, along with expertise in AI Search configurations. In this role, you will troubleshoot issues related to ServiceNow AI applications, align use case requirements with stakeholders, design solutions accordingly, and guide team members in development and testing. A solid understanding of AI concepts such as NLU, Machine Learning, and Prompt Engineering is crucial, as well as experience in integrating ServiceNow with ERP systems. Preferred qualifications include micro-certifications in Predictive Intelligence, Performance Analytics, Virtual Agent, and Now Assist, along with ServiceNow Certified Implementation Specialist ITSM (CIS-ITSM) and Certified Application Developer (CAD) certifications. You will collaborate with Scrum Master and Capability owners to prioritize features and user stories, assign development tasks, and lead the development efforts of the Scrum team. Mentoring junior and mid-level Software Engineers, reviewing code, performing unit testing, and staying updated on platform capabilities are also key responsibilities. Additionally, you will participate in recruiting, interviewing, and hiring new software engineering resources. Required qualifications: - Bachelor's degree or 5+ years of equivalent experience - Experience in ServiceNow development, including GEN AI and ML - Proficiency in ITSM processes, HRSD processes, CSM processes, and Web-Services - Strong skills in Virtual Agent, Predictive Intelligence, Performance Analytics, and Now Assist - Experience in customizing ServiceNow using various tools and languages such as UI Builder, CSS, HTML, Jelly, and Angular 1.5 Preferred qualifications: - ServiceNow certifications and GEN AI micro-certifications - Understanding of application design and development concepts - Excellent interpersonal skills for effective communication with stakeholders and team members - Familiarity with automated testing scripts and modern engineering practices The Sr. Technical Consultant role demands a proactive approach to learning new technologies, collaborating with users and customers to enhance solutions, and staying updated on industry trends. Your contributions in software engineering, customer-centric design thinking, technology acumen, business acumen, technology security standards, analytical thinking, problem-solving, and quality management will be crucial to the success of the team and organization.,

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 1000 companies. With a presence in more than 45 countries across five continents, Evalueserve excels in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate clients" business impact and strategic decision-making. The team at Evalueserve consists of 4,500+ talented professionals operating across 45 countries, spanning India, China, Chile, Romania, the US, Canada, as well as emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in multiple countries, Evalueserve offers a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all. Evalueserve University has been established to design and deliver a Global Learning Strategy integral to business success. From new graduate onboarding to leadership skill development workshops and domain-specific knowledge programs, the university strengthens structured learning opportunities. As a member of the Evalueserve team, you will partner with business leaders and subject matter experts to design and deliver learning programs focused on developing key competencies in Data Science. You will manage, enhance, and deliver signature boot-camp training programs for new hires globally and collaborate with Operations to identify training needs for on-role analysts. Additionally, you will create new learning content, monitor training quality and effectiveness, and ensure alignment with business needs. To excel in this role, you should have 5-10 years of experience in Data Science, along with proficiency in Cloud Fundamentals (Azure/AWS/GCP), Python, Machine Learning, LLM Ops, MLOps, Project Management, and NLP. Advanced skills in Computer Vision, Deep Learning, and other frameworks are desirable. Experience in Data Warehousing/Data Engineering/Big Data is an added advantage. A graduation degree is a prerequisite, along with excellent communication and interpersonal skills, and proficiency in Excel and PowerPoint. If you are ready to elevate your impact through innovation and learning, Evalueserve welcomes you to join its dynamic team and contribute to its mission of delivering cutting-edge solutions to clients worldwide.,

If digital transformation, next generation technology and growth opportunities excite you, then joining our Netcracker Technology team could be the perfect fit for you! Our culture and collaborative work environment are the keys to our success. Here at Netcracker, you will have the opportunity to work alongside best-in-class global teams, receive a competitive salary, and contribute to some of the largest digital transformations worldwide. As a member of our team, you will have the chance to unleash your entrepreneurial spirit. This means that you will have the freedom to think creatively when developing technical solutions, explore innovative possibilities, and embrace new technologies. At Netcracker, we encourage taking ownership of your role without feeling micromanaged or like just another number. Your contributions will be highly visible to our leadership team, leading to recognition for your work and potential for promotions. Additionally, apart from experiencing an entrepreneurial culture, you will also enjoy a wide range of benefits including health, accident, and life insurance, paid time off, sick leave, and parental leave. Key Responsibilities: Prompt Design and Development: - Craft, test, and optimize prompts to enhance the performance of large language models (LLMs) across various use cases and applications. - Experiment with different prompt strategies and techniques to improve agent accuracy and relevance. - Collaborate with AI researchers and engineers to integrate prompts into AI workflows and systems. - Translate customer requirements into effective prompts and continuously enhance prompt writing and integration codes. Performance Analysis: - Analyze prompt effectiveness by studying agent outputs, identifying patterns, and understanding failure cases. - Utilize A/B testing and data-driven approaches to refine prompts and enhance model performance. - Document performance metrics and best practices for future development. Collaboration and Communication: - Work closely with cross-functional teams to align prompt design with business goals and user needs. - Communicate findings, challenges, and opportunities to stakeholders effectively. - Contribute to team knowledge sharing by documenting prompt strategies and lessons learned. Innovation and Research: - Stay abreast of the latest advancements in AI, NLP, and prompt engineering techniques. - Experiment with innovative prompt design approaches. - Contribute to the development of internal tools and frameworks for streamlined prompt creation and testing. Quality Assurance: - Ensure prompts are robust, reliable, and applicable across various contexts and datasets. - Implement testing protocols to detect biases and inaccuracies in prompt outcomes. - Collaborate with AI ethics teams to ensure prompts align with ethical guidelines. Skills and Experience Required: - Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or related field, or equivalent work experience. - 2+ years of experience in LLMs, prompt engineering, or natural language processing. - Proven track record of implementing successful prompt engineering strategies. - Experience with A/B testing, experimental design, and version control systems. - Proficiency in Python, AI ethics, and bias mitigation strategies. - Strong communication, analytical, problem-solving, and project management skills. - Knowledge of data privacy regulations and attention to detail. Netcracker Technology is a forward-looking software company that provides mission-critical solutions to service providers globally. With over 25 years of service delivery excellence, our technology, expertise, and people empower companies to transform their networks and enhance customer experiences through cloud, analytics, virtualization, and 5G mobile networks.,

At CommBank, we are dedicated to enhancing the financial well-being of individuals and businesses by assisting them in making informed financial decisions and achieving their goals and aspirations. Regardless of your role within our organization, your initiative, talent, ideas, and energy are all valuable contributions to the positive impact we strive to make through our work. Together, we can accomplish remarkable things. We are currently seeking a Principal Software Engineer - GenAI to join our team in Bengaluru at Manyata Tech Park. As part of the Gen AI Domain, you will play a pivotal role in developing tools and capabilities that leverage Generative AI technology to address key needs within the group. Specifically, you will be involved in leading the Transformer Banking initiative. In this role, your primary responsibility will be to utilize your advanced technical expertise in engineering principles and practices within the Gen AI platform to drive business outcomes. By providing core technology and domain knowledge, you will support the technical strategy of the team and lead the design of solutions for complex challenges within Gen AI. This position offers the opportunity to be at the forefront of AI innovation within Australia's largest bank and fintech sector, shaping the future of banking with cutting-edge Gen AI solutions. Key Responsibilities: - Act as a thought and technology leader, providing technical guidance and overseeing engineering projects across AWS, Azure, AI, and ML development. - Champion strategic practice development within the Gen AI domain and mentor team members on design and technical aspects. - Build Gen AI capability among engineers through Knowledge Engineering, Prompt Engineering, and Platform Engineering. - Stay updated on advancements in generative AI, suggest best practices for infrastructure design, and ensure clear documentation of AI/ML/LLM processes. - Collaborate with other teams to integrate AI solutions into existing workflows and systems, ensuring scalability, reliability, and high availability. - Implement security best practices, monitoring systems, and Responsible AI guardrails to safeguard the platform and ensure data privacy and governance. Essential Skills: - Minimum 12 years of experience with a strong background in tech delivery and cross-cultural communication. - Proficiency in IT SDLC processes, written documentation, and key capabilities such as Prompt Engineering, Platform Engineering, and Knowledge Engineering. - Track record of building and leading engineering teams and exposure to cloud solutions, Gen AI frameworks, databases, and machine learning. Education Qualifications: - Bachelors/Masters degree in Engineering in Computer Science/Information Technology. If you are part of the Commonwealth Bank Group and interested in this opportunity, please apply through Sidekick. We are committed to supporting you in advancing your career. For any accessibility support, please contact HR Direct at 1800 989 696. Join us in shaping the future of banking through innovative Gen AI solutions!,

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what's next for their businesses. In this role, you will be responsible for architecting and implementing advanced generative AI models with a focus on applications like image and text generation, content creation, and synthetic data generation. You will also be developing, fine-tuning, and optimizing these models to ensure they meet performance, scalability, and business objectives. Applying solid data science principles, you will enhance AI/ML models using statistical analysis and machine learning techniques to improve accuracy and efficiency. Collaboration with data engineers, software developers, and product managers will be crucial to integrating generative AI models into products and services, aligning with business objectives. Staying updated with the latest advancements in AI/ML and generative AI, you will drive the adoption of new technologies and best practices within the team. Furthermore, you will be responsible for ensuring ethical AI implementation by designing and deploying AI models with ethical considerations, adhering to industry standards, and regulatory requirements. To be successful in this role, you should possess a bachelor's or master's degree in computer science, AI, Machine Learning, Data Science, or a related field, along 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 are required. Additionally, familiarity with advanced techniques like Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning will be beneficial. Domain knowledge in NLP or computer vision related to generative AI applications is also desired. At Capgemini, we value flexible work arrangements to support a healthy work-life balance, whether through remote work or flexible work hours. Our career growth programs and diverse professions are designed to help you explore a world of opportunities. You will have the opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner with a strong heritage trusted by clients worldwide. Our team members in over 50 countries work together to accelerate the dual transition to a digital and sustainable world, creating tangible impact for enterprises and society. We offer end-to-end services and solutions leveraging strengths in AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem. Join us in unlocking the value of technology to address a wide range of business needs.,

Position: AI Engineer Intern GPT + LangChain Company: Eroforze Systems Location: Remote Duration: 3045 days Stipend: Up to ?12,000 (performance-based) Overview Eroforze Systems is seeking a passionate AI Intern to work onEdgeryt , our AI-powered productivity platform. Youll help build features using OpenAI GPT API and LangChain to automate task creation and improve user productivity. Responsibilities Develop and integrate AI features using GPT APIs and LangChain Build prompt workflows for smart task management Collaborate with developers to embed LLMs into our app Optimize AI performance and accuracy Must-Have Skills Python and OpenAI API knowledge Familiarity with LangChain or similar tools Prompt engineering basics Willingness to work in a VDI setup Preferred Skills Vector store/RAG experience LangChain or LlamaIndex exposure Portfolio of AI projects Perks Certificate + real startup experience Work on real AI tools used in production Mentorship and potential long-term role Show more Show less

What is Contentstack Contentstack is on a mission to deliver the world&aposs best digital experiences through a fusion of cutting-edge content management, customer data, personalization and AI technology. Iconic brands, such as AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi and Walmart, depend on the platform to rise above the noise in today&aposs crowded digital markets and gain their competitive edge. Contentstack and its employees are dedicated to the customers and communities they serve. The company is recognized for its unmatched customer care and tradition of giving back globally through the Contentstack Cares program, including proud support of Pledge 1% and Girls Who Code. Learn more at www.contentstack.com. Who Are We At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let&aposs go! Roles & Responsibilities The primary purpose of this role is to be part of the R&D Disruptive product team ideating, developing the MVP product developing new products.. Working with emerging technologies Trying out new Technologies and developing prototypes Work with different product and engineering teams for adoption of the emerging tech within the stable products Work across the stack from a code commit to running it in production, with the end goal of delivering the best possible experience for the user Design, develop and test features from inception to rollout Write high quality code that is scalable, testable, maintainable and reliable Collaborate with people across roles to understand the domain and work towards building the right solution Adopt an open mindset for learning new things and working in new roles Continuously improve by working on and providing feedback Requirements Knoweledge of Generative AI (LLM) Experince in integrating with LLM APIs like(function calling, MCP) Experince in working with LLM Agents and creating Agentic AI solution Experince in creating RAG pipeline. experince in Prompt Engineering Ability to learn new skills quickly and apply them to solving tough problems Object-oriented design and development skills Good understanding of the Software Development Life Cycle Knowledge of the following: Html, CSS, Javascript, Node.js Good communication skills Exposure to databases like MongoDB, Redis, and/or any Relational databases is preferred What Really Gets Us Excited About You Working independently on the emerging technologies Curiosity and deep interest in solving problems Project/intern experience in working with software product companies What Do We Offer Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the "challenge yourself" role where you learn something new every day, never stop growing, and have fun while you&aposre doing it. Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict "no a**hole policy" and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected. Bragging Rights | We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more! One Team One Dream | This is one of our values, and it shows. We don&apost believe in artificial hierarchies. If you&aposre part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it&aposs a great time to be joining To review our Privacy Policy, please click here. Show more Show less

Job purpose: Design, develop, and deploy end-to-end AI/ML systems, focusing on large language models (LLMs), prompt engineering, and scalable system architecture. Leverage technologies such as Java/Node.js/NET to build robust, high-performance solutions that integrate with enterprise systems. Who You Are: Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field. PhD is a plus. 5+ years of experience in AI/ML development, with at least 2 years working on LLMs or NLP. Proven expertise in end-to-end system design and deployment of production-grade AI systems. Hands-on experience with Java/Node.js/.NET for backend development. Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers). Key Responsibilities: 1. Model Development & Training: Design, train, and fine-tune large language models (LLMs) for tasks such as natural language understanding, generation, and classification. Implement and optimize machine learning algorithms using frameworks like TensorFlow, PyTorch, or Hugging Face. 2. Prompt Engineering: Craft high-quality prompts to maximize LLM performance for specific use cases, including chatbots, text summarization, and question-answering systems. Experiment with prompt tuning and few-shot learning techniques to improve model accuracy and efficiency. 3. End-to-End System Design: Architect scalable, secure, and fault-tolerant AI/ML systems, integrating LLMs with backend services and APIs. Develop microservices-based architectures using Java/Node.js/.NET for seamless integration with enterprise applications. Design and implement data pipelines for preprocessing, feature engineering, and model inference. 4. Integration & Deployment: Deploy ML models and LLMs to production environments using containerization (Docker, Kubernetes) and cloud platforms (AWS/Azure/GCP). Build RESTful or GraphQL APIs to expose AI capabilities to front-end or third-party applications. 5. Performance Optimization: Optimize LLMs for latency, throughput, and resource efficiency using techniques like quantization, pruning, and model distillation. Monitor and improve system performance through logging, metrics, and A/B testing. 6. Collaboration & Leadership: Work closely with data scientists, software engineers, and product managers to align AI solutions with business objectives. Mentor junior engineers and contribute to best practices for AI/ML development. What will excite us: Strong understanding of LLM architectures and prompt engineering techniques. Experience with backend development using Java/Node.js (Express)/.NET Core. Familiarity with cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes, CI/CD). Knowledge of database systems (SQL, NoSQL) and data pipeline tools (Apache Kafka, Airflow). Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to work in a fast-paced, collaborative environment. What will excite you: Lead AI innovation in a fast-growing, technology-driven organization. Work on cutting-edge AI solutions, including LLMs, autonomous AI agents, and Generative AI applications. Engage with top-tier enterprise clients and drive AI transformation at scale. Location: Ahmedabad

We are looking for an intern who has prior exposure to Generative AI solutions either through a certification course or previous internship. If youve already build automation solutions using CustomGPT, AI Agents & Agentic AI and want to work on real-world applications, this is your chance! Requirements Completed a certification or internship in Generative AI / Prompt Engineering Hands-on experience with LLM's tools like ChatGPT, Gemini or other Gen AI application Eagerness to explore AI in business, marketing & automation Bonus: Familiarity with Agentic tools like make.com, n8n, etc Role Highlights Work on live AI projects (prompts, content, automation) Research AI trends and build internal use cases Build AI marketing autiomation with Agentic AI Contribute to AI-based tools and workflow testing Selection Process Online written assessment Hands on plus practicle asesment Interview with our team Benifits: Certificate on Internship 6 months to 1 Year Attractive stipend