126 Open Ai Jobs - Page 2

S&CGN - Tech Strategy & Advisory - Gen AI - Artificial Intelligence - Senior Manager The AI-Gen AI Strategy Senior Manager Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data & AI Strategy I Level: Senior Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 14 to 20 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AIand the data that fuels it allto power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data and AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Qualification Your experience counts! MBA from a tier 1 institute 7-10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

S&CGN - Tech Strategy & Advisory - Gen AI - Artificial Intelligence - Senior Manager Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data & AI Strategy I Level: Senior Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 14 to 20 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AIand the data that fuels it allto power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data and AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Qualification Your experience counts! MBA from a tier 1 institute 7 10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential.

Job Description: Solution Architect with over 10+ years of expertise in designing and delivering scalable, enterprise-grade frameworks and foundational services to support analytical applications and next-generation Generative AI (GenAI) solutions. Key Responsibilities: Lead and mentor a team of engineers in the design and development of foundational frameworks and infrastructure to support advanced analytics and GenAI solutions. Architect and implement scalable, reusable infrastructure components for data processing, integration, and enterprise-wide AI/ML initiatives. Define and drive integration strategies for both analytical applications and GenAI models, including Large Language Models (LLMs) and Agentic AI, into core enterprise systems and frameworks. Collaborate with platform, data, and ML teams to define data pipelines and infrastructure for model training, deployment, and monitoring, with a focus on both analytics and GenAI. Ensure solutions are technically robust, aligned with enterprise architecture, and meet scalability, performance, and reliability requirements. Actively participate in the design, development, and maintenance of high-performance applications using Java, Python, JavaScript, Scala, PySpark, Spark, and Snowflake. Work extensively with AWS services, including designing and deploying serverless or containerized solutions using ECS, Lambda, S3, Glue, and other cloud services. Develop and deploy microservices-based and event-driven architectures using modern frameworks to support modular and scalable application development. Integrate and work with GenAI frameworks and APIs such as OpenAI, Hugging Face, Google Vertex AI, or other enterprise-grade platforms.

Urgent Opening for one of the Service Based MNC - Saturday Virtual Interview ---On Spot Offer with one of the Well Renowned MNC !!!!! Interested Candidates Please Appy on priya.singhal@thehrsolutions.in Exp Range- 4 to 12Years Locations- PAN India JD - GenAI Engineer/Developer Role Overview: We are seeking a skilled OpenAI Developer to join our dynamic team. The ideal candidate will have a robust understanding of AI and machine learning, with particular expertise in integrating OpenAI models with Microsoft's Power Platform (including Power Automate and Power Virtual Agents), Azure Cognitive Services, and agentic AI frameworks. This role also requires experience in Azure deployment of AI solutions and modern Autogen-based architectures for building intelligent multi-agent systems. Key Responsibilities: Design, develop, and optimize OpenAI-powered applications, including multi-agent frameworks, chatbots, and AI-based customer support systems. Leverage agentic technologies (e.g., Autogen framework) to implement AI agents capable of collaborating and completing complex tasks autonomously. Build and maintain backend services using Python or .NET to support OpenAI integrations. Work with custom datasets, applying techniques such as chunking, embedding, and vector search for model fine-tuning and retrieval-augmented generation (RAG). Integrate Azure Cognitive Services (e.g., Text Analytics, Translator, Form Recognizer) to enhance functionality and intelligence of AI solutions. Ensure scalable and secure deployment of AI solutions on Azure, using services like Azure Functions, Azure App Service, and Azure Kubernetes Service (AKS). Regularly evaluate and fine-tune GPT models to ensure high performance and relevance. Collaborate with cross-functional teams, including product, design, and QA, to ensure seamless development and deployment pipelines. Stay up to date with advancements in OpenAI, Azure AI, and agent-based technologies, and proactively contribute innovative ideas. Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or related field. Proficient in Python or .NET for backend and AI integration development. Strong experience with OpenAI GPT models and their practical applications. Experience with agentic technologies (e.g., Autogen, LangGraph, CrewAI) for multi-agent systems. Familiarity with Microsoft Azure Cognitive Services and Azure AI Studio. Solid grasp of machine learning fundamentals, including training, fine-tuning, and evaluating language models. Practical knowledge of Natural Language Processing (NLP) techniques. Hands-on experience with CI/CD tools such as Google Cloud Build, Jenkins, GitHub Actions, or Azure DevOps. Ability to work collaboratively in an agile, team-oriented environment under tight deadlines. Excellent problem-solving, debugging, and analytical skills. Desirable Skills: Masters degree or higher in AI, ML, or a related technical field. Prior experience in chatbot development for customer service or enterprise use cases. Certification(s) in Microsoft Azure, OpenAI, or machine learning technologies. Experience deploying and managing OpenAI solutions in Azure environments. Familiarity with RAG architectures, Azure AI Search, and blob storage indexing. Knowledge of Copilot Studio, Power Platform AI builder, or Conversational AI tools.

Job Summary: We are seeking a highly skilled GenAI Sr Architect with 11+ years of strong AI/ML expertise and consulting experience to lead client engagements, identify AI/GenAI opportunities across business operations, customer experience, and new revenue streams. The ideal candidate will work closely with stakeholders to design innovative solutions, engage in strategic discussions, support delivery teams, and collaborate with technical architects to ensure successful implementation. Key Responsibilities: Consulting & Advisory: Engage with senior stakeholders across client organizations to understand business pain points and strategic goals Identify opportunities where GenAI/AI/ML can create tangible business impact (operational efficiency, customer experience, new revenue models) Conduct GenAI ideation workshops, PoC scoping, and value realization assessments Solution Architecture: Design scalable GenAI and traditional AI/ML solutions based on client use cases Select appropriate LLMs, architectures (RAG, fine-tuning, agents), and platforms (Azure OpenAI, AWS Bedrock, etc.) Define security, data governance, and compliance aspects for GenAI applications Stakeholder Engagement: Present solution blueprints and roadmaps to business and technology leaders Act as a bridge between client stakeholders, business teams, and internal delivery squads Coordinate with client’s technical architects to align with existing systems and frameworks Delivery Oversight: Guide and mentor delivery teams during design, development, and deployment Support pre-sales efforts by creating proposals, estimates, and case studies Track project progress, remove roadblocks, and ensure quality delivery Innovation & Thought Leadership: Stay updated with the latest GenAI models, tools, and industry use cases Build reusable accelerators, frameworks, and reference architectures Contribute to internal knowledge sharing and competency building Qualifications: Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field 11+ years of experience in AI/ML including deep learning, NLP, predictive analytics 2+ years of experience in building and deploying GenAI-based solutions (e.g., using GPT, Claude, Gemini, LLaMA, etc.) Strong understanding of GenAI concepts: LLMs, RAG, agents, embeddings, prompt engineering Hands-on experience with platforms like OpenAI, Azure OpenAI, AWS Bedrock, LangChain, LlamaIndex, etc, ML

Job Title: Senior / Lead DevOps Engineer (GenAI) Level: A4 & A5 (Experience: 5.1 9 Years) Key Responsibilities Design, build, and maintain CI/CD pipelines for GenAI model training and deployment. Automate infrastructure provisioning & scaling using Terraform, Ansible, Pulumi . Optimize GPU/TPU utilization and monitor model performance in production. Integrate GenAI workflows (LLM fine-tuning, embedding generation, RAG pipelines) into production environments. Collaborate with ML Engineers, Data Scientists, and Platform teams to ensure reproducibility & traceability of models/datasets. Implement observability for GenAI workloads – logging, monitoring, alerting . Ensure security, compliance, and cost optimization across cloud/hybrid environments. Required Skills & Qualifications 5+ years of DevOps / MLOps experience, with 1–2 years in GenAI-focused environments. Strong proficiency in Docker, Kubernetes, Terraform, Jenkins/GitLab CI, Helm . Hands-on experience with LLMs, transformers, Hugging Face, LangChain, OpenAI (or similar) . Expertise in cloud platforms (AWS/GCP/Azure) – especially AI/ML services like SageMaker, Vertex AI, Azure ML. Experience with monitoring tools (Prometheus, Grafana, ELK). Familiar with ML lifecycle tools – MLflow, Weights & Biases, DVC. Strong scripting skills in Python, Bash, or Go . Preferred Qualifications Experience with RAG pipelines , LLMOps, or orchestration platforms (LangServe, BentoML, FastAPI). Knowledge of enterprise ML security standards . Exposure to prompt management tools and GenAI deployment practices. Soft Skills Strong problem-solving and ownership mindset. Ability to lead architecture & design discussions for GenAI infrastructure. Excellent communication and collaboration across AI, data, and DevOps teams. What You’ll Get Opportunity to shape and scale GenAI infrastructure in production. Exposure to state-of-the-art models and tools . Competitive compensation, flexible working environment & growth opportunities. Role & responsibilities

Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Role and responsibilities - Collaborating with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals Conducting research to stay up to date with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance scalability and efficiency. Active participation in developer communities, open-source contributions, or personal GenAI projects Work closely with the GenAI development team to integrate AI models and applications with the existing/new tool, quality, and performance. Act as an authority, guiding junior engineers and collaborating teams, fostering a culture of development excellence, collaboration, and continuous learning. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. Serve as a technical lead, overseeing and supervising projects and engineers on the team. Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies. Drive our technology vision and roadmap. Establish software development best practices, and lead by example in applying them Experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions Strong sense of software design and usability of ML systems Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Proven experience as a Engineering Lead, hands on Software Engineering Manager, or similar role Develop natural language processing (NLP) solutions using GenAI, LLMs and custom transformer architectures. Adopt and customize LLM agent-based orchestration tools (LlamaIndex, Langchain, Semantic Kernel) for enterprise applications and use cases Implement information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Developing and/or tune Large Language Models (LLM) and Generative AI (GAI) Analyze, design, develop, support and maintain Big Data environment and code base, support traditional data pipelines and processes. Education Computer science, Data Engineering, or a related field graduates.

Job Description: As a Staff/Senior Python Developer, you will be responsible for designing, developing, and implementing robust applications and solutions using Python. You will work closely with cross-functional teams to deliver high-quality software that meets business needs. Key Responsibilities: Develop and maintain scalable applications using Python and relevant frameworks (Flask, Django). Utilize libraries such as Pandas and Numpy for data manipulation and analysis. Implement data visualization techniques to present insights effectively. Apply Natural Language Processing (NLP) techniques to extract meaningful information from text data. Work with Optical Character Recognition (OCR) technologies to process and analyze images and documents. Design and implement machine learning and deep learning models, including neural networks. Collaborate with DevOps teams to set up CI/CD pipelines and manage ML Ops on Azure. Leverage Azure services for deploying and managing machine learning models, including LLM using OpenAI. Participate in code reviews, mentoring junior developers, and ensuring best practices in software development. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as a Python Developer, with a strong portfolio of projects. Proficiency in Python programming and frameworks such as Flask and Django. Solid understanding of data manipulation and analysis using Pandas and Numpy. Experience with data visualization tools and techniques. Knowledge of NLP techniques and libraries (e.g., NLTK, SpaCy). Familiarity with OCR technologies and their applications. Strong understanding of machine learning, deep learning, and neural networks. Experience with Azure services, CI/CD pipelines, and ML Ops. Excellent problem-solving skills and the ability to work independently and in a team environment. Preferred Skills: Experience with containerization technologies (e.g., Docker). Familiarity with version control systems (e.g., Git). Knowledge of Agile methodologies and software development life cycle.

Role Definition: Data Scientists focus on researching and developing AI algorithms and models. In this role, you will analyze data, build predictive models, and apply machine-learning techniques to solve complex problems. Key Responsibilities: Research and develop AI algorithms and predictive models. Analyze data to extract actionable insights. Build, test, and deploy machine learning and deep learning models. Manage end-to-end AI solution delivery, from data mining and cleaning to deployment. Collaborate with cross-functional teams to integrate AI solutions into business processes. Ensure effective monitoring and maintenance of data pipelines and model performance. Required Skills: Proficient: Languages/Frameworks: Fast API, Azure UI Search API (React) Databases and ETL: Cosmos DB (API for MongoDB), Data Factory, and Data Bricks Programming: Proficiency in Python and R Cloud: Azure Cloud Basics (Azure DevOps) Version Control & CI/CD: Gitlab Pipeline Deployment: Ansible and REX (Rex Deployment) Data Science: Prompt Engineering, Modern Testing, and data mining/cleaning Machine Learning: Supervised/unsupervised learning, NLP techniques, and familiarity with deep learning techniques (RNN, transformers) End-to-End Delivery: AI integration, deployment, and model deployment processes Frameworks & Operations: AI frameworks (PyTorch), MLOps frameworks, and data pipeline monitoring Expert (in addition to the proficient skills): Languages/Frameworks: Expertise in Azure Open AI Data Science: Proficiency with Open AI GPT Family of models (4o/4/3), embeddings, and vector search Databases and ETL: Experience with Azure Storage Account Machine Learning: Expertise in a broad range of machine learning algorithms (supervised, unsupervised, reinforcement learning) Deep Learning: Proficiency in deep learning frameworks (TensorFlow, PyTorch) Mathematics: Strong mathematical foundation in linear algebra, calculus, probability, and statistics Research: Solid research methodology and experimental design skills Data Analysis: Proficiency in data analysis tools (Pandas, NumPy, SQL) Statistics: Strong statistical and probabilistic modeling skills Data Visualization: Experience with tools like Matplotlib, Seaborn, or Tableau Big Data: Knowledge of big data technologies such as Spark and Hive Analytics: Experience with AI-driven analytics and decision-making systems

3+ years of experience in full-stack development, particularly with Node.js and Python, Proficiency in front-end technologies (such as React, Angular, or similar) and back-end development. Familiarity with RESTful APIs/ WhatsApp API is a plus

Must Have: Strong proficiency in Python and TypeScript for fullstack development. Backend development experience with Flask or equivalent Python web frameworks. Hands-on experience integrating AI features using LangChain, OpenAI SDKs, or similar. Understanding of core AI concepts such as Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP). Frontend development skills with Next.js for building responsive, modern UIs. UI styling using Tailwind CSS and component libraries like ShadCN. State management using React Query, Zustand, or equivalent tools. Experience deploying scalable applications on Microsoft Azure. Ability to write clean, maintainable, and well-structured code. Good to Have: Familiarity with Azure Data bricks and Azure Data Factory. Experience building Microsoft Office Add-ins (Word, Excel, Outlook). Knowledge of prompt engineering and working with LLM APIs. Experience with Docker and CI/CD pipeline integration. Understanding of performance optimization and monitoring tools within Azure

Position: Fullstack Engineer Experience: 5 8 Years Location: Only local candidates i.e., Bangalore is preferrable for all the positions About the Role We are looking for a highly skilled Fullstack Engineer with hands-on experience in modern web technologies and a strong background in GenAI, AI/ML APIs, and LLM frameworks . The ideal candidate will have practical exposure to leveraging GenAI in day-to-day work whether its building AI-powered applications, integrating AI/ML APIs, or using GenAI tools to write code, generate test cases, or automate documentation . This role offers the opportunity to work on cutting-edge projects at the intersection of fullstack engineering and generative AI, enabling innovation and scalability. Key Responsibilities Design, develop, and deploy end-to-end fullstack applications using Python, Node.js, React.js, Next.js, and TypeScript. Integrate AI/ML APIs, LLM frameworks, and OpenAI APIs into production-grade applications. Implement LangChain and other AI frameworks for intelligent application workflows. Apply GenAI tools in day-to-day development for coding assistance, test automation, and documentation. Collaborate with cross-functional teams to translate requirements into scalable technical solutions. Ensure application performance, scalability, and maintainability. Stay updated on the latest developments in GenAI, AI/ML, and fullstack technologies to bring innovation into projects. Mandatory Skills Proficiency in Python, Node.js, React.js, JavaScript, TypeScript, Next.js . Strong experience with GenAI, AI/ML APIs, and LLM frameworks (OpenAI APIs, LangChain, etc.). Proven track record of using GenAI in day-to-day work : Building applications powered by GenAI. Using GenAI for code generation, testing, or documentation. Strong problem-solving skills with a deep understanding of software engineering best practices. Experience in cloud deployment (AWS/GCP/Azure) is a plus. Qualifications Bachelors/Master’s degree in Computer Science, Engineering, or a related field. 5–8 years of relevant fullstack engineering experience, with at least 1–2 years in GenAI/AI-powered applications .

.Net Azure Ai Architect Role: .Net Core Azure Architect Location: Pune, Mumbai, Nagpur, Goa, Noida, Gurgaon, Ahmedabad, Jaipur, Indore, Kolkata, Kochi, Hyderabad, Bangalore, Chennai,) Experience: 12 to 17 Years Job Type: Full Time Employment What You'll Do: Knowledge of CSS for designing and developing user interfaces would be beneficial. Understanding HTML for creating web pages is a plus. Experience in JavaScript for creating interactive web applications is desirable. Must have Any AI exp. Familiarity with SQL Server for managing databases is a plus. Experience in Agile development methodology is beneficial. Understanding of Microservices architecture is a plus. Knowledge of Docker for containerization is desirable. Familiarity with Kubernetes for orchestration of containers is a plus. Experience in Continuous Integration/Continuous Deployment is beneficial. Understanding of RESTful APIs for integration with other services is a plus Expertise You'll Bring: Proficiency in .Net Core: The candidate must have a strong understanding and hands-on experience in .Net Core development. Azure: The candidate should have a deep understanding of Azure cloud services, including Azure DevOps, Azure Functions, and Azure Logic Apps. Gen AI: Candidate must have understanding or working experience with Gen AI/Open AI/LLM. Project Management: The candidate should have experience in managing projects, coordinating with different teams, and ensuring the delivery of projects on time. The candidate must have a bachelor?s degree in computer science, Information Technology, or a related field, with a preference for a master?s degree or relevant certifications in Azure cloud technologies.

Role & responsibilities Qualifications: Must Have 3+ years of hand-on experience with .Net Web API development. 3+ years of experience with .Net Core development 3+ year of experience with Azure cloud development. Strong hands-on exposure to various Azure services 2+ Years of Angular/React web-UI development experience. 2+ years of hands-on experience with JavaScript, HTML, and CSS Generative AI Experience: 4-6 years Work location: Hyderabad Shift Timings: 11 AM to 8 PM Roles and Responsibilities: Develop and maintain high-quality, responsive user interfaces for web applications. Develop Scalable and Robust backend APIs aligned with business requirements. Collaborate with designers, product managers, and backend developers to implement and improve UI/UX designs. Conduct code reviews, provide feedback, and mentor junior developers as needed. Should be self-driven individual and always look for future opportunities. Ensuring delivery of work with minimal errors, within agreed time frame. Ensures Stakeholder satisfaction. Demonstrates good communication skills. Generates innovative ideas. Operates effectively in a fast-changing environment. Embraces change. Takes a broad approach to problem solving and decision making by analyzing, thinking ahead and planning. Acts with sense of urgency, practicality, and integrity. Demonstrates ability to make decisions. Contributes to and participates in decision making and creates a participative decision-making environment. Seeks understanding of impacts and monitor and reviews these on an ongoing basis. Holds accountable for ensuring that results are achieved. Demonstrates a strong orientation towards achievement. Provides input to decision making processes. Demonstrates an understanding and appreciation of the cultural diversity present in the global business environment.

Hi, (On the Spot Offer) We are looking for suitable Candidates for Face to Face Drive for a Tier A Company on Saturday i.e. 23rd Aug 2025 in Bengaluru Location for the role of Gen AI Developer. Only Interested Candidate revert their Resume on Kanishk.mittal@thehrsolution.in. Face to Face Interview Direct Pay role on the spot selection and Joining Exp Range- 4 to 12Years Locations- Bengaluru, India JD - Gen AI Engineer/Developer Role Overview: We are seeking a skilled OpenAI Developer to join our dynamic team. The ideal candidate will have a robust understanding of AI and machine learning, with particular expertise in integrating OpenAI models with Microsoft's Power Platform (including Power Automate and Power Virtual Agents), Azure Cognitive Services, and agentic AI frameworks. This role also requires experience in Azure deployment of AI solutions and modern Autogen-based architectures for building intelligent multi-agent systems. Key Responsibilities: Design, develop, and optimize OpenAI-powered applications, including multi-agent frameworks, chatbots, and AI-based customer support systems. Leverage agentic technologies (e.g., Autogen framework) to implement AI agents capable of collaborating and completing complex tasks autonomously. Build and maintain backend services using Python or .NET to support OpenAI integrations. Work with custom datasets, applying techniques such as chunking, embedding, and vector search for model fine-tuning and retrieval-augmented generation (RAG). Integrate Azure Cognitive Services (e.g., Text Analytics, Translator, Form Recognizer) to enhance functionality and intelligence of AI solutions. Ensure scalable and secure deployment of AI solutions on Azure, using services like Azure Functions, Azure App Service, and Azure Kubernetes Service (AKS). Regularly evaluate and fine-tune GPT models to ensure high performance and relevance. Collaborate with cross-functional teams, including product, design, and QA, to ensure seamless development and deployment pipelines. Stay up to date with advancements in OpenAI, Azure AI, and agent-based technologies, and proactively contribute innovative ideas. Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or related field. Proficient in Python for backend and AI integration development. Strong experience with OpenAI GPT models and their practical applications. Experience with agentic technologies (e.g., Autogen, LangGraph, CrewAI) for multi-agent systems. Familiarity with Microsoft Azure Cognitive Services and Azure AI Studio. Solid grasp of machine learning fundamentals, including training, fine-tuning, and evaluating language models. Practical knowledge of Natural Language Processing (NLP) techniques. Hands-on experience with CI/CD tools such as Google Cloud Build, Jenkins, GitHub Actions, or Azure DevOps. Ability to work collaboratively in an agile, team-oriented environment under tight deadlines. Excellent problem-solving, debugging, and analytical skills. Desirable Skills: Masters degree or higher in AI, ML, or a related technical field. Prior experience in chatbot development for customer service or enterprise use cases. Certification(s) in Microsoft Azure, OpenAI, or machine learning technologies. Experience deploying and managing OpenAI solutions in Azure environments. Familiarity with RAG architectures, Azure AI Search, and blob storage indexing. Knowledge of Copilot Studio, Power Platform AI builder, or Conversational AI tools.

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.,

Role - Cloud Architect Analytics & Data Products Were looking for a Cloud Architect / Lead to design, build, and manage scalable AWS infrastructure that powers our analytics and data product initiatives. This role focuses on automating infrastructure provisioning , application/API hosting , and enabling data and GenAI workloads through a modern, secure cloud environment. Key Responsibilities Design and provision AWS infrastructure using Terraform or AWS CloudFormation to support evolving data product needs. Develop and manage CI/CD pipelines using Jenkins , AWS Code Pipeline , Code Build , or GitHub Actions . Deploy and host internal tools, APIs, and applications using ECS , EKS , Lambda , API Gateway , and ELB . Provision and support analytics and data platforms using S3 , Glue , Redshift , Athena , Lake Formation , and orchestration tools like Step Functions or Apache Airflow (MWAA) . Implement cloud security, networking, and compliance using IAM , VPC , KMS , CloudWatch , CloudTrail , and AWS Config . Collaborate with data engineers, ML engineers, and analytics teams to align infrastructure with application and data product requirements. Support GenAI infrastructure, including Amazon Bedrock , Sage Maker , or integrations with APIs like Open AI . Requirements 10-14 years of experience in cloud engineering, DevOps, or cloud architecture roles. Strong hands-on expertise with the AWS ecosystem and tools listed above. Proficiency in scripting (e.g., Python , Bash ) and infrastructure automation. Experience deploying containerized workloads using Docker , ECS , EKS , or Fargate . Familiarity with data engineering and GenAI workflows is a plus. AWS certifications (e.g., Solutions Architect , DevOps Engineer ) are preferred. Show more Show less

Inviting applications for the role of Lead Consultant-Full Stack Developer We are seeking a talented Full Stack Developer to join our dynamic team. The ideal candidate will have a strong background in both front-end and back-end development, playing a crucial role in designing and implementing robust web applications that support business objectives. Responsibilities Design and implement enterprise-grade APIs using Node.js and NestJS i n a hybrid Azure environment. Lead backend architecture planning, service decomposition, and scalability strategies. Lead UI design consistency through Storybook and establish scalable design systems. Model and manage data access using Prisma ORM with Azure Cosmos DB ( PostgreSQL ). Own API documentation and lifecycle via OpenAP I and Azure API Management. Architect and build high-performance frontend apps using React (Javascript / TypeScript) and Radix UI . Own multilingual implementation and accessibility using i18next and WCAG principles. Drive frontend DevOps: optimize builds with Webpack and deploy to Azure Static Web Apps. Mentor junior developers & team to enforce coding standards using monorepo (Nx) framework, modern UI/UX practices and test-driven development. Deploy services to Azure App Services and Azure Functions based on workload needs. Document and manage APIs using the OpenAPI (Swagger) standard via Azure API Management . Qualifications we seek in you! Minimum Qualifications Bachelor's degree in computer science, information technology, or a related field. Preferred Qualifications/ Skills Relevant experience in respective role. • Strong knowledge of TypeScript , PostgreSQL , REST APIs , and cloud deployments . • Strong leadership, mentoring, and architecture-level decision-making experience. • Experience working in monorepo framework and Agile DevOps cultures. • Experience with Azure services like App Services , Functions, and Key Vault

Key Responsibilities: We are looking for smart self driven high energy people with top notch communication skills intellectual curiosity and passion for technology in Machine Learning Space Our analysts have a blend of in depth domain expertise in one or more areas Financial Services strong business acumen and excellent soft skills Exposure to Technology Preferred Skills: Technology->Machine Learning->Generative AI->closed models (azure open ai)

The ideal candidate should have hands-on experience in Collibra Workflows, asset model creation, cataloguing, and assessment creation. Additionally, exposure to AI platforms such as Open AI, Bedrock, and integration platforms like snaplogic and mulesoft is required. A deep understanding and practical knowledge of IDEs such as Eclipse/PyCharm or any Workflow Designer is essential. Experience with one or more of the following languages: Java, JavaScript, Groovy, Python is preferred. Moreover, deep understanding and hands-on experience of CICD processes and tooling e.g., GitHub is necessary. Candidates should have experience working in Dev-Ops teams based on Kubernetes tools and converting a business workflow into an automated set of actions. Proven knowledge in scripting and a willingness to learn new languages is expected. Excellent communication skills in written & spoken English, interpersonal skills, and a collaborative approach to delivery are crucial. An enthusiasm for great documentation including high level designs, low level designs, coding standards, and Knowledge Base Articles is highly appreciated. Desirable qualifications include an Engineering Degree in IT/Computer Science with a minimum of 10 years of experience. Knowledge and experience of the Collibra Data Governance platform, exposure to AI models, AI governance, data policies, and governance are advantageous. Basic AWS knowledge is a plus. Familiarity with integration technologies like Mulesoft and Snaplogic is beneficial. Excellent Jira skills, including the ability to rapidly generate JQL on-the-fly and save JQL queries/filters/views/etc for publishing to fellow engineers & senior stakeholders, are desired. Candidates should have experience in the creation of documentation in Confluence and Agile practices, preferably having been part of an Agile team for several years. Joining Virtusa means becoming part of a team that values teamwork, quality of life, professional and personal development. With a global team of 27,000 people, Virtusa aims to provide exciting projects, opportunities, and work with state-of-the-art technologies throughout your career with us. Great minds, great potential, and a dynamic environment await you at Virtusa, where collaboration and excellence are nurtured.,

You should have 3 to 10 years of experience in AI development and be located in Coimbatore. Immediate joiners are preferred. A minimum of 2 years of experience in core Gen AI is required. As an AI Developer, your responsibilities will include designing, developing, and fine-tuning Large Language Models (LLMs) for various in-house applications. You will implement and optimize Retrieval-Augmented Generation (RAG) techniques to enhance AI response quality. Additionally, you will develop and deploy Agentic AI systems capable of autonomous decision-making and task execution. Building and managing data pipelines for processing, transforming, and feeding structured/unstructured data into AI models will be part of your role. It is essential to ensure scalability, performance, and security of AI-driven solutions in production environments. Collaboration with cross-functional teams, including data engineers, software developers, and product managers, is expected. You will conduct experiments and evaluations to improve AI system accuracy and efficiency while staying updated with the latest advancements in AI/ML research, open-source models, and industry best practices. You should have strong experience in LLM fine-tuning using frameworks like Hugging Face, DeepSpeed, or LoRA/PEFT. Hands-on experience with RAG architectures, including vector databases such as Pinecone, ChromaDB, Weaviate, OpenSearch, and FAISS, is required. Experience in building AI agents using LangChain, LangGraph, CrewAI, AutoGPT, or similar frameworks is preferred. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow is necessary. Experience in Python web frameworks such as FastAPI, Django, or Flask is expected. You should also have experience in designing and managing data pipelines using tools like Apache Airflow, Kafka, or Spark. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker, Kubernetes) is essential. Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, Llama, etc.) and their integration in applications is a plus. A strong understanding of vector search, embedding models, and hybrid retrieval techniques is required. Experience with optimizing inference and serving AI models in real-time production systems is beneficial. Experience with multi-modal AI (text, image, audio) and familiarity with privacy-preserving AI techniques and responsible AI frameworks are desirable. Understanding of MLOps best practices, including model versioning, monitoring, and deployment automation, is a plus. Skills required for this role include PyTorch, RAG architectures, OpenSearch, Weaviate, Docker, LLM fine-tuning, ChromaDB, Apache Airflow, LoRA, Python, hybrid retrieval techniques, Django, GCP, CrewAI, OpenAI, Hugging Face, Gen AI, Pinecone, FAISS, AWS, AutoGPT, embedding models, Flask, FastAPI, LLM APIs, DeepSpeed, vector search, PEFT, LangChain, Azure, Spark, Kubernetes, AI Gen, TensorFlow, real-time production systems, LangGraph, and Kafka.,

Role and Responsibilities: Build, design, and deploy solutions, new integrations/APIs (.NET). Update existing API functionalities (enhancements or bugfixes) on Azure Services (APIM, Azure functions). Develop front-end applications using Angular/Angular js and database development using MSSQL, MySQL, Cosmos DB Develop scalable and secure microservices using .Net core, Docker and Kubernetes Work with CI/CD regards to the deployment, management, and operation of applications on Azure, ensuring optimal performance. Design, develop, and optimize OpenAI-powered applications, chatbots, and AI-based customer support systems. Mandatory Skills Experience with Microsoft Azure services like Azure functions, API Management, App services, Azure data factory, Key vault, App insights, Azure DevOps. Proficiency in scripting and programming languages such as C#, Angular js, Angular and T SQL Excellent problem-solving and troubleshooting skills. Good to Have Experience with OpenAI GPT models and their practical applications. Experience with Cursor or similar AI code editors, Azure AI studio and RAG architectures Knowledge of security best practices like PCI and compliance standards for cloud environments. Working knowledge at least one of Redis, Rabbit MQ and Couchbase Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams. Education UG: B. Sc in Any Specialization, B. Tech/B.E. in Any Specialization Key Skills C#, .Net (ver 8,6, 3.1), MS SQL Server, My SQL, Azure Services (Functions, API Management, Data factory, Devops, App Insights), CI/CD, Redis, Cosmos DB, Rabbit MQ, Couch base Location Malad West, Mumbai Notice Period: Immediate to 30 Days

We are seeking an experienced Senior Azure .NET Developer with a strong background in developing scalable cloud-based applications and services. The ideal candidate will have extensive experience working with .NET (8.0, 6.0), .NET Core, and Azure services, along with a solid understanding of AI/ML and OpenAI large language models (LLMs). The role also requires hands-on experience in CI/CD pipelines, containerization, and database technologies. Prior team leadership or mentoring experience is highly desirable. Key Responsibilities Design, develop, and maintain cloud-native applications using .NET 8.0, 6.0, and .NET Core frameworks. Build and deploy microservices and serverless functions leveraging Azure Functions and other Azure services such as Azure API Management (APIM), Cosmos DB, and Azure DevOps. Implement and manage CI/CD pipelines using Azure DevOps or similar tools to ensure smooth, automated deployments. Develop and maintain containerized applications using Docker. Work closely with data teams and architects to design solutions incorporating MSSQL Server and Cosmos DB. Integrate AI/ML capabilities and OpenAI large language models into applications to enhance functionality. Ensure high code quality, unit testing, and adherence to best practices in software development. Collaborate with cross-functional teams including product owners, UX/UI designers, and QA to deliver high-quality software products. Provide technical leadership and mentorship to junior developers, and support team lead activities when required. Participate in architectural discussions and provide input on system design and enhancements. Troubleshoot and resolve complex technical issues in production environments. Stay updated with the latest industry trends and Azure innovations to continuously improve the product and processes. Required Skills and Experience Minimum 7 years of experience in .NET development , including expertise in .NET 8.0 and 6.0, and .NET Core. Strong hands-on experience with Azure services , including but not limited to: Azure API Management (APIM) Azure Functions Azure DevOps (CI/CD pipelines) Expertise in containerization technologies like Docker . Proficient in database management with MSSQL Server and Cosmos DB . Practical experience with AI, Machine Learning (ML), and OpenAI Large Language Models (LLMs) . Knowledge of best practices in cloud-native application development. Experience in building and deploying scalable, resilient microservices. Previous experience in team leadership or mentoring is a plus. Strong problem-solving skills and ability to troubleshoot complex systems. Excellent communication and collaboration skills. Educational Qualification Bachelors or Master’s degree in Computer Science, Information Technology, or a related field.

Role and Responsibilities: Design, code and implement scalable, maintainable, secure cloud solutions using .NET, .Net Core and Microsoft Azure. Implement DevOps practices, including continuous integration and continuous deployment (CI/CD) pipelines. Develop front-end applications using Angular/Angular js and database development using MSSQL, MySQL, Cosmos DB Develop scalable and secure microservices using .Net core, Docker and Kubernetes Oversee the deployment, management, and operation of applications on Azure, ensuring optimal performance. Design, develop, and optimize OpenAI-powered applications, chatbots, and AI-based customer support systems. Mentor junior developers to resolve technical hurdles and ensure clean, efficient code delivery. Mandatory Skills In-depth knowledge of cloud computing concepts and experience with Microsoft Azure services like Azure functions, API Management, AKS, App services, Azure data factory, Key vault, App insights, Azure DevOps. Proficiency in scripting and programming languages such as Angular js, Angular, T SQL and C#. Experience with OpenAI GPT models and their practical applications. Experience with Cursor or similar AI code editors, Azure AI studio, OpenAI API, Lang Chain and RAG architectures Knowledge of security best practices like PCI and compliance standards for cloud environments. Excellent problem-solving and troubleshooting skills. Worked knowledge of at least one of Redis, Rabbit MQ and Couchbase Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams. Education UG: B. Sc in Any Specialization, B. Tech/B.E. in Any Specialization Key Skills C#, .Net (ver 8,6, 3.1), MS SQL Server, My SQL, Azure Services (Functions, API Management, Data factory, Devops, App Insights, AKS), CI/CD, Docker, Kubernetes, Redis, Cosmos DB, Rabbit MQ, Couch base, Open AI, ML, OpenAI API, Lang Chain Location Malad West, Mumbai Notice Period: Immediate to 30 Days

Role & responsibilities Building a Prompt Engineers Team requires a thoughtful approach that balances technical expertise, domain knowledge, and creativity. Heres a step-by-step plan to help you build an effective team: Step-by-Step Guide to Building a Prompt Engineering Team 1. Define the Purpose and Scope Start with clarity on: • Why you need a prompt engineering team (e.g., to improve chatbot accuracy, optimize RAG pipelines, generate content, automate processes). • Where prompts will be applied (e.g., customer support, legal research, code generation, marketing content). • What models/tools youre using (e.g., OpenAI GPT-4, Claude, Mistral, LangChain, LlamaIndex, Pinecone, etc.). 2. Identify Key Roles to Hire You dont need only prompt writers — build a balanced team. Typical roles include: Core Prompt Engineers • Focused on crafting, testing, and refining prompts • Excellent with language, logic, and experimentation NLP/LLM Engineers • Technical experts who understand model internals, fine-tuning, embeddings, and vector search • Useful if you’re building complex RAG or multi-agent systems Creative Writers or UX Writers (Optional) • Can write natural, engaging, or persuasive prompts especially for customer-facing apps or content generation Evaluation & QA Specialists • Test prompt outputs for accuracy, bias, safety, and relevance • Help benchmark performance 3. Create a Hiring Strategy Look for Candidates Who: • Understand LLM behavior and limitations • Have experience with OpenAI, Claude, or open-source models • Are comfortable with both creative writing and logical reasoning • Can iterate based on output quality Where to Find Them: • AI/NLP communities on Twitter, Discord (e.g., EleutherAI, LangChain) • LinkedIn with filters like: “Prompt Engineer,” “LLM Developer,” “NLP Engineer” • Platforms like GitHub (search AI prompt repositories), Kaggle, Upwork, Toptal 4. Set Up Your Tech Stack Equip the team with: • LLM Access: OpenAI API, Anthropic, HuggingFace, Cohere • Prompt Testing Tools: PromptLayer, LangSmith, PromptPerfect, Flowise • RAG Stack (if needed): LangChain, LlamaIndex, Chroma, Weaviate, Pinecone • Version Control: GitHub + prompt libraries • Prompt Analytics/Logging: To track changes, feedback loops, hallucinations, and success rates 5. Define a Workflow • Prompt Design Test Evaluate Refine Deploy Monitor • Use prompt templates (Few-shot, Chain-of-Thought, ReAct, etc.) • Implement CI for prompt validation if prompts are part of codebase 6. Build a Knowledge Base Document: • Prompt templates and examples • What works well (prompt tuning guides) • Failure cases and anti-patterns • Team learnings, A/B test results, and prompt libraries 7. Encourage Experimentation LLMs are probabilistic — experimentation is critical. Create a culture where: • Engineers test various prompt formats and model behaviors • Insights are shared internally • Prompt quality is benchmarked over time Preferred candidate profile Bonus: Team Composition Example (Startup Scale) Role Count Notes Prompt Engineer 2 NLP-aware, skilled with prompt design & LLMs NLP/LLM Developer 1 Can build pipelines, evaluate embeddings, tune models QA / Evaluator 1 Reviews and scores AI output for relevance, tone, accuracy Creative Writer (Optional) 1 Especially useful for marketing, support, or storytelling prompts Final Tip: Your first hires should be T-shaped people – with deep LLM experience but broad enough to collaborate across engineering, product, and UX.