345 Prompt Engineering Jobs - Page 6

LLMs, VLMs, Prompt Engineering & AI Agents POC Project,

Key Skills: Software development, system design, problem-solving, performance optimization, code review, testing frameworks, automation, GenAI tools, prompt engineering, CI/CD, agile methodologies. Roles & Responsibilities: Lead the design of complex software development features ensuring scalable, effective, and maintainable solutions. Collaborate with solution managers, designers, and cross-functional teams to gather requirements, translate them into technical specifications, and align with project priorities. Analyze and resolve complex technical issues, identify performance bottlenecks, and prepare technical documentation. Conduct code reviews, provide constructive feedback, and uphold high standards in code quality and development best practices. Ensure the code meets functional and performance requirements while promoting rigorous testing processes including unit tests, integration tests, and automated testing frameworks. Utilize GenAI tools for AI-assisted development and apply basic prompt engineering concepts. Perform additional duties as assigned. Experience Requirement: 5-7 years of relevant experience in software development, with a strong understanding of the full software development lifecycle. Proven experience in designing and implementing scalable, maintainable, and high-performance software systems. Hands-on experience with modern programming languages such as Java, Python, C#, or JavaScript, and frameworks such as Spring Boot, .NET, or Node.js. Experience working in agile/scrum environments, with a solid grasp of agile methodologies and DevOps practices. Familiarity with cloud platforms such as AWS, Azure, or GCP, and working knowledge of deploying applications in cloud-native environments. Practical experience with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions, and version control systems like Git. Exposure to containerization technologies like Docker and orchestration tools like Kubernetes is a plus. Strong debugging and problem-solving skills, with the ability to perform root cause analysis and resolve production issues efficiently. Experience writing unit, integration, and automated tests using tools like JUnit, TestNG, Mocha, or similar testing frameworks. Demonstrated ability to collaborate in cross-functional teams and communicate effectively with technical and non-technical stakeholders. Previous experience with GenAI tools and AI-assisted development workflows is an added advantage. Education: B.Tech.

Responsibilities: * Develop prompts using Python & Chain of Thought prompting techniques * Ensure accuracy & relevance * Collaborate with cross-functional teams on prompt development * Optimize prompt performance through engineering techniques Food allowance Health insurance Provident fund

GenAI, NLP, or LLM based systems , strong Python development skills and working Artificial Intelligence, Python, AWS, Machine Learninges and embedding techniques

As a Customer Success Manager at GreyLabs AI, your primary responsibility will be to build strong, consultative relationships with senior stakeholders at client organizations. You will act as a trusted advisor who understands their goals and helps them realize measurable ROI. Leading seamless onboarding journeys and ensuring quick time-to-value and adoption of mission-critical features within our speech analytics platform will be crucial aspects of your role. Identifying and pursuing upsell and cross-sell opportunities by understanding client needs and uncovering new use cases aligned with their evolving strategy will be key to driving growth. You will design and execute proactive customer success strategies that help clients meet their business KPIs and turn our platform into a growth lever. Monitoring account health, preempting churn risks, and acting fast with insights-driven playbooks to keep clients engaged and satisfied will be essential for ensuring insight-backed retention. Collaborating with clients to refine speech analytics use cases that solve real business problems, from collections optimization to compliance automation, will be a core part of your responsibilities. You will also channel client feedback and field insights to the product team, shaping roadmap decisions and enhancing feature relevance. Leading quarterly success reviews and check-ins, showcasing impact, aligning on goals, and unlocking new collaboration opportunities will be critical in driving customer success. Partnering with sales, product, and operations teams to ensure seamless handovers, unified goals, and strong account momentum will require strong cross-functional collaboration skills. You will also play a key role in helping build scalable success frameworks, playbooks, and knowledge-sharing processes to level up the customer experience across the board. To excel in this role, you should have excellent communication and relationship-building skills, especially with senior stakeholders. Being a strategic thinker with strong analytical and problem-solving abilities will be beneficial. As a self-starter who thrives in fast-paced, ambiguous environments, you will be able to navigate challenges effectively. Experience in AI/ML, Prompt Engineering, or working with BFSI clients would be a bonus. If you are passionate about driving customer success, collaborating with clients to achieve their business goals, and influencing product development to enhance customer experience, this role at GreyLabs AI could be the perfect fit for you. Join our team and be part of shaping the future of customer success in the AI industry.,

We are looking for a highly motivated Mid-Level AI Engineer to join our growing AI team. Your main responsibility will be to develop intelligent applications using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems. Working closely with data scientists, backend engineers, and product teams, you will build and deploy AI-powered solutions that provide real-world value. Your key responsibilities will include designing, developing, and optimizing applications utilizing LLMs such as GPT, LLaMA, and Claude. You will also be tasked with implementing RAG pipelines to improve LLM performance using domain-specific knowledge bases and search tools. Developing and maintaining robust Python codebases for AI-driven solutions will be a crucial part of your role. Additionally, integrating vector databases like Pinecone, Weaviate, and FAISS, as well as embedding models for information retrieval, will be part of your daily tasks. You will work with APIs, frameworks like LangChain and Haystack, and various tools to create scalable AI workflows. Collaboration with product and design teams to define AI use cases and deliver impactful features will also be a significant aspect of your job. Conducting experiments to assess model performance, retrieval relevance, and system latency will be essential for continuous improvement. Staying up-to-date with the latest research and advancements in LLMs, RAG, and AI infrastructure is crucial for this role. To be successful in this position, you should have at least 3-5 years of experience in software engineering or AI/ML engineering, with a strong proficiency in Python. Experience working with LLMs such as OpenAI and Hugging Face Transformers is required, along with hands-on experience in RAG architecture and vector-based retrieval techniques. Familiarity with embedding models like SentenceTransformers and OpenAI embeddings is also necessary. Knowledge of API design, deployment, performance optimization, version control (e.g., Git), containerization (e.g., Docker), and cloud platforms (e.g., AWS, GCP, Azure) is expected. Preferred qualifications include experience with LangChain, Haystack, or similar LLM orchestration frameworks. Understanding NLP evaluation metrics, prompt engineering best practices, knowledge graphs, semantic search, and document parsing pipelines will be beneficial. Experience deploying models in production, monitoring system performance, and contributing to open-source AI/ML projects are considered advantageous for this role.,

As a talented Full Stack Developer with expertise in Generative AI and Natural Language Processing, you will be a key member of our team, contributing to the design, development, and scaling of cutting-edge LLM and Generative AI applications to enhance user experiences. Your responsibilities will include developing backend logic and intelligent workflows using pre-trained AI models such as large language models (LLMs) and natural language understanding (NLU) engines. You will integrate and operationalise NLP and Generative AI models in production environments, including speech processing pipelines like automatic speech recognition (ASR) and text-to-speech (TTS) technologies. Applying techniques such as LLM fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG) will be crucial for enhancing AI system performance. Moreover, you will design and deploy scalable full-stack solutions supporting AI-driven applications, working with various data sources to enable contextual AI retrieval and responses. Utilising cloud platforms like AWS/Azure effectively for hosting, managing, and scaling AI-enabled services will also be part of your role. If you are passionate about combining full-stack development with AI and LLM technologies to create innovative text and voice applications, we look forward to hearing from you. Qualifications: - 3+ years of hands-on experience in full-stack application development with a strong understanding of frontend and backend technologies. - 12 years of proven experience in designing and implementing AI-driven conversational systems. - Deep knowledge of integrating Speech-to-Text (STT) and Natural Language Processing (NLP) components into production-ready systems. Nice-to-Have Skills: - Exposure to MLOps practices, including model deployment, monitoring, lifecycle management, and performance optimization in production environments. What You'll Get: - Opportunity to work on one of the most advanced AI systems. - A high-performing, fast-paced startup culture with a deep tech focus.,

You are an experienced professional with over 10 years of total experience, seeking a new opportunity to showcase your expertise in Python, LLM integration, and GenAI development workflows. Your strong knowledge in prompt engineering, vector databases, retrieval-augmented generation (RAG), and toolchains sets you apart. You have hands-on experience with Agentic AI and Open AI, as well as agent frameworks like LangChain Agents, Semantic Kernel, Haystack, or custom-built agents. Your proven track record includes leading LLM/GenAI projects from Proof-of-Concept to Production, showcasing your deep understanding of modern data workflows including ingestion, transformation, cataloguing, validation, and analytics. Collaboration is key for you, as you have the ability to work across engineering, product, and governance teams. Experience with enterprise data products, MLOps, or DataOps platforms, as well as familiarity with governance workflows and metadata-driven automation, are part of your skill set. Your responsibilities will include understanding clients" business use cases and technical requirements to create elegant technical designs, mapping decisions with requirements, identifying the best solutions, and defining guidelines and benchmarks for NFR considerations during project implementation. You will be responsible for writing and reviewing design documents, reviewing architecture and design, ensuring best practices are followed, and developing overall solutions for functional and non-functional requirements. To excel in this role, you should have a Bachelor's or Master's degree in computer science, Information Technology, or a related field. Your excellent communication and collaboration skills will be essential as you resolve issues raised during code/review and carry out POCs to validate suggested designs and technologies. Join us at Nagarro and be part of a dynamic and non-hierarchical work culture where your expertise will be valued and your contributions will make a difference.,

We are looking for a skilled and motivated Data Scientist with a strong background in backend development and AI/ML engineering. The ideal candidate should have experience in constructing, deploying, and expanding machine learning solutions using Python and modern ML frameworks. Responsibilities: - Develop and implement machine learning models, including advanced architectures like Large Language Models (LLMs). - Collaborate with various teams to create scalable AI-driven solutions using sound software engineering principles. - Utilize Python and object-oriented programming to build efficient, maintainable, and production-grade ML pipelines. - Work with popular ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development and testing. - Integrate AI/ML models into applications via RESTful APIs while ensuring performance, scalability, and reliability. - Use tools like Hugging Face, LangChain, and OpenAI APIs for NLP and generative AI model development. - Manage containerized services using Docker for seamless deployment and reproducibility of ML solutions. - Follow best practices in version control (Git) and software development lifecycles to support collaborative and agile workflows. - Develop and maintain relational databases (e.g., MySQL, PostgreSQL, Oracle) to support data-driven applications. - Contribute to microservices-based architectures for AI/ML systems. - Apply agent communication protocols and multi-agent system design in relevant AI applications. - Analyze large datasets, extract actionable insights, and continuously improve models. Required Skills and Qualifications: - Minimum 4 years of experience in data science, machine learning, or backend development. - Proficiency in Python and solid foundations in object-oriented programming. - Hands-on experience with the entire machine learning model lifecycle, from training to production deployment and monitoring. - Understanding of scalable system design and microservices architecture. - Strong problem-solving skills, attention to detail, and knowledge of data structures and algorithms. - Excellent communication and collaboration abilities, with a knack for working in a dynamic team setting. Preferred Qualifications: - Expertise in Generative AI, particularly with Large Language Models (LLMs) like GPT and LLaMA. - Proficiency in prompt engineering, fine-tuning LLMs, and evaluating AI model performance. - Familiarity with AI system architecture, including orchestration frameworks and agent-based designs. - Experience with advanced AI tools, platforms, and APIs for scalable systems. - Strong communication skills and proven track record of effective collaboration in cross-disciplinary teams. - Knowledge of ethical AI principles, including model interpretability, fairness, responsible AI deployment, and ongoing monitoring.,

You will be joining our AI/ML team as an experienced and hands-on AI/ML Tech Lead. In this role, you will be responsible for architecting, guiding, and delivering scalable AI solutions while actively contributing to code and model development. Your deep expertise in machine learning, computer vision, LLMs, and deployment practices, along with prior experience in leading and mentoring a team of engineers, will be crucial for success. Your key responsibilities will include leading the development and deployment of AI/ML models and API-based services in domains such as Computer Vision, LLMs, and Agentic AI. You will guide and mentor a team of at least 4 AI/ML engineers, ensuring high-quality technical output and team growth. Additionally, you will own infrastructure and DevOps decisions related to AI model serving, optimization, and monitoring. Collaboration with DevOps, Data Engineering, and Product teams for seamless integration and delivery will also be a key aspect of your role. Evaluating and adopting emerging AI frameworks and tools to enhance development velocity and model performance will be part of your responsibilities. To excel in this role, you should have a minimum of 9 years of experience in AI/ML, with at least 2 years in a technical leadership role guiding a team. Proven hands-on experience in deploying production-grade ML models using Docker, FastAPI/Flask, and CI/CD pipelines is essential. A deep understanding of version control (Git), containerization, and MLOps practices is required. Proficiency in Python, PyTorch/TensorFlow, OpenCV, and HuggingFace/Transformers is expected. Exposure to agentic AI workflows, prompt engineering, and GPU-based training/inference will be beneficial. Experience working with cloud infrastructure (AWS/GCP/Azure) and managing compute/GPU resources is also a plus.,

About the job: Key responsibilities: 1. Design, develop, and improve user interfaces to make them more appealing and user-friendly. 2. Fix UI/UX bugs and contribute to the overall quality, performance, and responsiveness of the website. 3. Build and integrate new features and GenAI-powered tools that solve real-life problems. Who can apply: Only those candidates can apply who: are Computer Science Engineering students Salary: ₹ 3,00,000 - 3,10,000 /year Experience: 0 year(s) Deadline: 2025-08-16 23:59:59 Skills required: HTML, JavaScript, Amazon Web Services (AWS), Angular and Prompt Engineering Other Requirements: 1. Prior experience building personal projects or contributing to open-source (especially via GitHub). 2. Ability to learn and adapt quickly using tools like ChatGPT, GitHub Copilot, or other GenAI platforms. 3. Familiarity with Git/GitHub for version control and collaboration, with a portfolio or project history preferred. About Company: Reinvent AI is a modern platform offering a growing suite of free Generative AI (GenAI) tools designed for creators, thinkers, and doers. We build practical AI-powered applications that simplify real-world tasks like content creation, resume tailoring, document summarization, and more. Our mission is to empower individuals with smart tools that save time, spark creativity, and boost productivity. We're a fast-moving, experimentation-first environment ideal for self-learners with a builder mindset.

As a Senior Data Scientist specializing in Generative AI at our organization, you will play a crucial role in driving technical innovation and delivering impactful results within a team setting. You will be responsible for working with financial data, applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and troubleshooting and debugging GenAI models in production. To excel in this role, you must possess a Master's degree in Computer Science, Data Science, or a related field, with a Ph.D. being preferred. You should have 8-12 years of experience in a Data Scientist or equivalent role, with at least 4 years of specialized experience in Generative AI. Additionally, you should have demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation. You must stay up-to-date with the rapidly evolving GenAI landscape, continuously learn and explore new tools and techniques, and effectively communicate technical concepts to non-technical stakeholders. Proficiency in Python, along with expertise in key libraries for AI/ML and GenAI applications such as TensorFlow, PyTorch, and Transformers, is mandatory. Experience in designing and implementing scalable API architectures for GenAI applications, along with a deep understanding of Machine Learning concepts, is essential. Preferred qualifications for this role include experience with MLOps, cloud computing platforms, conversational AI solutions, and contributions to research and publications in the field of Generative AI. As a Senior Data Scientist, you will be expected to demonstrate strong technical leadership and mentorship skills, as well as excellent communication and collaboration abilities. This job description provides a comprehensive overview of the responsibilities and qualifications required for the Senior Data Scientist position. If you are a highly motivated individual with a strong passion for Generative AI and possess the necessary technical skills and experience, we encourage you to apply for this role.,

Role & responsibilities 5 Years -11 Years Joining location - Pune Notice period - immediate to 60days Primary Skills Data Science, Python, Machine Learning Mandatory Skills Deep Learning/NLP, Computer Vision, Gen AI/LLM, Cloud (AWS / Azure / GCP) Core Skills Python, NLP, LLMs, Data Science Must-Have Experience with LLM-based Gen AI applications, prompt engineering, Langchain and/or Llama-index Nice-to-Have BERTopic/Topic Modelling, HuggingFace, Responsible AI concepts Preferred candidate profile

About Position: Design, develop, and optimize AI/ML models for practical applications, ensuring high performance, scalability, and reliability. Innovate using advanced GenAI technologies (e.g., LLMs, RAG, OpenAI APIs) to address complex business challenges. Role: GenAI Engineer Location: Bangalore Experience: 6-10 years Job Type: Full Time Employment What You'll Do: Worked on Voice AI / Digital Channels / Agentic AI applications using Playbooks, tooling, connectors, and data sources. Strong proficiency in Python for developing and deploying AI applications in a real-time production environment. Proven experience in designing and implementing agentic AI workflows, orchestrating multiple AI models and external systems. Worked on identification, design, and implementation of use cases for GCP Agents in contact centers to improve customer experience and operational efficiency. Understanding of customer service operations and contact centre technologies. Exposure GCP AI offerings and Google Dialog flow/Virtual agents exposure Expertise You'll Bring: Design, develop, and implement advanced conversational AI agents using Google Cloud Contact Center AI (CCAI) and other relevant GCP AI services (e.g., Dialogflow CX, Speech-to-Text, Natural Language AI). Leverage various GCP AI models to enhance agent capabilities, including intent recognition, entity extraction, sentiment analysis, and knowledge base integration. Ensure the secure handling of customer data, implementing robust measures to prevent exposure in chat interactions. Develop strategies and mechanisms to accurately extract customer conversations, even when speech is unclear or ambiguous. Integrate and configure different models offered by GCP for contact centre AI solution Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry's best Let's unleash your full potential at Persistent "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

You will be joining our team as a next-level AI Creative Designer, where your primary responsibility will be to consistently generate bold, original, and campaign-worthy ideas using advanced AI tools. The ideal candidate for this position will possess not only a strong visual design sense but also deep expertise in prompt engineering, enabling them to extract the most precise, powerful, and brand-aligned outputs from AI. As an AI Creative Designer, you will play a crucial role in bringing electric vehicles and related products to life through visually compelling, accurate, and creative content for various platforms such as campaigns, product showcases, digital ads, and social media. Your attention to detail and precision in portraying vehicle features, brand language, and visual storytelling will be essential in this role. This is a full-time position with a day shift schedule, and the work location is in person. If you are passionate about leveraging AI tools to create impactful visual designs and have a keen eye for detail, we encourage you to apply for this exciting opportunity to be part of our dynamic team.,

The project duration for this role is 6 months with a monthly rate of 1.60 Lac. The ideal candidate should possess 4-7 years of experience and the work location is in Bangalore with a Hybrid setup. Key Responsibilities: - Demonstrated strong proficiency in Python, LLMs, Lang Chain, Prompt Engineering, and related Gen AI technologies. - Proficiency in working with Azure Databricks. - Ability to showcase strong analytical skills, problem-solving capabilities, and effective stakeholder communication. - A solid understanding of data governance frameworks, compliance requirements, and internal controls. - Hands-on experience in data quality rule development, profiling, and implementation. - Familiarity with Azure Data Services such as Data Lake, Synapse, and Blob Storage. Preferred Qualifications: - Previous experience in supporting AI/ML pipelines, particularly with GenAI or LLM based models. - Proficiency in Python, PySpark, SQL, and knowledge of Delta Lake architecture. - Hands-on experience with Azure Data Lake, Azure Data Factory, and Azure Synapse Analytics. - Prior experience in data engineering, with a strong expertise in Databricks.,

You should have hands-on experience in Machine Learning Model and deep learning development using python. You will be responsible for Data Quality Analysis and Data preparation, Exploratory Data Analysis, and visualization of data. Additionally, you will define validation strategies, preprocessing or feature engineering on a given dataset, and data augmentation pipelines. Text processing using Machine Learning and NLP for processing documents will also be part of your role. Your tasks will include training models, tuning their hyperparameters, analyzing model errors, and designing strategies to overcome them. You should have experience with python packages such as Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, Pandas, and Matplotlib. Experience in working on Azure open AI studio or openai using python or LLAMA or Langchain is required. Moreover, experience in working on Azure function and python flask/api development/streamlit, prompt engineering, conversational AI, and LLM models like word2Vec, Glove, spacy, BERT embedding models is preferred. You are expected to possess distinctive problem-solving, strategic, and analytical capabilities, as well as excellent time-management and organization skills. Strong knowledge in Programming languages like Python, reactjs, SQL, big data is essential. Excellent verbal and written communication skills are necessary for effective interaction between business and technical architects and developers. You should have 2 - 4 years of relevant experience and a Bachelors Degree in Computer Science, Computer Engineering, masters in computer application, MIS, or a related field. End-to-End development experience in deployment of the Machine Learning model using python and Azure ML studio is required. Exposure in developing client-based or web-based software solutions and Certification of Machine Learning and Artificial Intelligence will be beneficial. Good to have experience in power platform or power pages or Azure OpenAI studio. Grant Thornton INDUS comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. The culture at Grant Thornton INDUS promotes empowered people, bold leadership, and distinctive client service. Working at Grant Thornton INDUS offers an opportunity to be part of something significant and serves communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India Bengaluru and Kolkata.,

Are you excited about contributing to the development of cutting-edge AI systems that are set to revolutionize cloud infrastructure operations At Oracle Cloud Infrastructure (OCI), we are dedicated to reimagining operations for the enterprise cloud, and we are currently seeking ML Engineers to spearhead this transformation. OCI stands out as a hyperscale cloud platform where operations play a crucial role in ensuring customer success. To ensure the scalability and competitiveness of OCI, there is a pressing need to automate incident detection, diagnosis, and resolution by pushing the boundaries of AI and GenAI in cloud operations. Join our team to collaborate on building intelligent AI solutions that proactively manage cloud environments, enhance operational excellence, and provide customers with a world-class experience. If you are enthusiastic about tackling complex technical challenges and influencing the evolution of autonomous cloud technology, this opportunity is perfect for you. Responsibilities will include leading the development of AI agents tailored for cloud operations, designing and implementing tools and frameworks to support AI agent development, assessing agent performance across operational scenarios, innovating meta prompting techniques, integrating advanced LLM technologies into OCI systems, collaborating across teams, engaging with customers to validate solutions, and providing technical leadership and mentorship. The ideal candidate should have a minimum of 5 years of overall experience with at least 2 years in machine learning engineering, expertise in large language models, transformers, and GenAI technologies, experience in prompt engineering, the ability to optimize AI agent performance in real-world environments, proficiency in Python and ML frameworks like PyTorch or TensorFlow, knowledge of MLOps practices, problem-solving skills, strong communication abilities, and a degree in Computer Science, Machine Learning, or a related field. Preferred qualifications include experience in building AI assistants for enterprise applications, familiarity with multi-agent systems, reinforcement learning, or autonomous decision-making frameworks, knowledge of LLM fine-tuning, RAG, or vector database integration, a background in cloud operations or infrastructure monitoring, exposure to Oracle Cloud Infrastructure or other major cloud platforms, and contributions to open-source ML projects or publications in ML, NLP, or AI agent systems. By joining our team, you will have the opportunity to work on designing AI Agents and the infrastructure supporting them, shape the future of AI-powered cloud operations at Oracle, engage with cutting-edge AI technologies to solve real-world challenges, collaborate with a talented team, and enjoy competitive compensation, benefits, and career growth opportunities.,

You will be responsible for designing, building, and deploying scalable NLP/ML models for real-world applications. Your role will involve fine-tuning and optimizing Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. You will work with transformer-based architectures such as BERT, GPT, LLaMA, and T5, and develop GenAI applications using frameworks like LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). Writing clean, efficient, and testable Python code will be a crucial part of your tasks. Collaboration with data scientists, software engineers, and stakeholders to define AI-driven solutions will also be an essential aspect of your work. Additionally, you will evaluate model performance and iterate rapidly based on user feedback and metrics. The ideal candidate should have a minimum of 3 years of experience in Python programming with a strong understanding of ML pipelines. A solid background and experience in NLP, including text preprocessing, embeddings, NER, and sentiment analysis, are required. Proficiency in ML libraries such as scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, and spaCy is essential. Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases like FAISS and ChromaDB, will be beneficial. Strong problem-solving and communication skills are highly valued, along with the ability to learn new tools and work both independently and collaboratively in a fast-paced environment. Attention to detail and accuracy is crucial for this role. Preferred skills include theoretical knowledge or experience in Data Engineering, Data Science, AI, ML, RPA, or related domains. Certification in Business Analysis or Project Management from a recognized institution is a plus. Experience in working with agile methodologies such as Scrum or Kanban is desirable. Additional experience in deep learning and transformer architectures and models, prompt engineering, training LLMs, and GenAI pipeline preparation will be advantageous. Practical experience in integrating LLM models like ChatGPT, Gemini, Claude, etc., with context-aware capabilities using RAG or fine-tuning models is a plus. Knowledge of model evaluation and alignment, as well as metrics to calculate model accuracy, is beneficial. Data curation from sources for RAG preprocessing and development of LLM pipelines is an added advantage. Proficiency in scalable deployment and logging tooling, including skills like Flask, Django, FastAPI, APIs, Docker containerization, and Kubeflow, is preferred. Familiarity with Lang Chain, LlamaIndex, vLLM, HuggingFace Transformers, LoRA, and a basic understanding of cost-to-performance tradeoffs will be beneficial for this role.,

At PwC, as a member of the data and analytics engineering team, you will be responsible for leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your role will involve transforming raw data into actionable insights, facilitating informed decision-making, and driving business growth. As a data science and machine learning engineer at PwC, you will focus on utilizing advanced analytics and machine learning techniques to extract insights from vast datasets, enabling data-driven decision-making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to address complex business challenges. You will be joining PwC as an Associate with a minimum of 1.8 to 3 years of experience. PwC is dedicated to helping organizations and individuals create the value they are seeking by delivering quality Assurance, Tax, and Advisory services. Working at PwC will provide you with opportunities to apply your skills beyond the workplace, contributing to groundbreaking solutions for clients and communities. PwC Acceleration Centers in India serve as diverse, global talent hubs that focus on delivering value to clients by providing virtual client engagement support across all PwC services and capabilities worldwide. Your role will entail the following responsibilities: - Building analytics products/accelerators using various big data technologies and analytics tools as required by stakeholders, while creating robust documentation of solutions, design decisions, and operating procedures. - Working with large-scale datasets and driving the analytics path to align with project objectives, developing and executing analytical modules on PwC's big data platform. - Engaging effectively with internal and external stakeholders to understand requirements and translate them into analytical solutions. - Meeting tight deadlines, managing multiple priorities, working independently, and navigating through ambiguous requirements. - Managing the continuous improvement of data science and machine learning practices by following industry best practices. - Staying updated on new AI research and experimenting with code. - Working in sprint cycles to develop proof-of-concepts and prototype models for demonstration to data scientists, internal stakeholders, and clients. - Understanding and implementing ETL pipelines, data ingestion, and transformation to populate data models. - Communicating clearly, asking relevant questions, and driving conversations. - Bringing new perspectives to different analytical solutions. The key skills required for this role include: - Strong Analytical Thinking skills with the ability to creatively solve business problems. - Hands-on skills in Python. - Excellent communication skills. - Self-driven and results-oriented. - Knowledge of using LLMs, Prompt Engineering for efficient work. Desired skills for the role include experience in Pyspark, ML frameworks, and PowerBI.,

Job Title : AI Prompt Engineer Location: Fully Remote Work Hours: 4:00 PM to 1:30 AM IST with daylight savings (Till 3 PM CST) Experience Required: 2+ Years As a Prompt Engineer, you will design, evaluate, and refine prompts that drive intelligent behavior in AI-enabled features across our platform. You will work closely with data scientists, engineers, and product leaders to develop prompt frameworks and dialogue flows that power agentic orchestration, helping patients navigate complex health journeys. Role & responsibilities Architect reusable prompt templates for multi-turn conversational flows, including clarification, escalation, human-in-the-loop, and action triggering Work with engineers and data scientists to test and optimize RAG-based search prompts Create and maintain prompt libraries with robust versioning and testing frameworks Collaborate on agentic workflows that help agents act autonomously and intelligently across clinical, scheduling, and care navigation use cases Evaluate prompt performance using real-time analytics and partner with the data science team to iterate Support safe prompt handling of PHI, bias mitigation, and hallucination reduction Develop challenger agents and evaluation agents to confirm agent output and ensure safe and consistent messaging to MyBSWHealth customers Minimum Qualifications Bachelor's degree in Computer Science, Linguistics, Philosophy, Cognitive Science, or comparable experience in industry or a related field 2+ years working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production settings Experience with prompt engineering, RAG, or agentic AI architectures Familiarity with healthcare or other regulated industry - workflows, EHR systems, or clinical terminology is a plus Strong understanding of conversational UX and prompt evaluation metrics Experience with Pydantic AI python library and n8n workflow automation software suite preferred

We're Hiring: AI Content Creator (Prismos Beauty) Hyderabad, India Are you obsessed with AI, aesthetics, and beauty branding? Do you know how to make skincare and haircare products look iconic online using AI tools? If yes, Prismos Beauty wants you on board! Who We Are: Prismos Beauty is a next-gen skincare and haircare brand based in Hyderabad, India. We blend high-performance beauty with luxury vibes, and we’re scaling fast. Now, we’re looking for an AI Content Creator who can turn ideas into viral, visually striking content across platforms using cutting-edge AI tools. What You’ll Do: Use tools like Midjourney, Runway, ChatGPT, D-ID, Pika Labs, or others to generate content for IG, Pinterest, Reels, and more. Design aesthetic beauty visuals, carousels, campaign graphics, and AI-generated video snippets. Collaborate with our marketing team to bring product launches, campaigns, and brand moments to life. Create stunning, scroll-stopping content that aligns with our brand voice and luxury aesthetic. Stay on top of AI + beauty trends to bring fresh and innovative content ideas. What We’re Looking For: Passion for skincare, haircare, and beauty aesthetics. Strong portfolio showcasing AI-generated content (images, videos, carousels, reels, etc.). Proficient in Midjourney, Runway, Photoshop, ChatGPT, or similar tools. Experience with social media content creation, especially in the beauty or fashion space. A creative mind with attention to detail and storytelling flair. Basic knowledge of content marketing and D2C branding is a bonus! Why Join Us? Be part of a high-growth beauty startup making waves in the industry. Collaborate with a young, vibrant, and creative team. Freedom to experiment and create with the latest AI tools. Flexible work setup (remote/hybrid). Build a standout portfolio with a luxury beauty brand. Salary:25,000-30,000(per month depending on your experience)

Job Title: Senior Programmer- AI & Data Engineering Location: Work from Office Experience Required: 3+ Years Job Type: Full-Time Department: Technology / Engineering Job Summary: We are seeking a highly skilled and motivated Senior Programmer with a strong background in AI development, Python programming , and data engineering . The ideal candidate will have hands-on experience with OpenAI models , Machine Learning , Prompt Engineering , and frameworks such as NLTK , Pandas , and Numpy . You will work on developing intelligent systems, integrating APIs, and deploying scalable solutions using modern data and cloud technologies. Key Responsibilities: Design, develop, and optimize intelligent applications using OpenAI APIs and machine learning models. Create and refine prompts for Prompt Engineering to extract desired outputs from LLMs (Large Language Models). Build and maintain scalable, reusable, and secure REST APIs for AI and data applications. Work with large datasets using Pandas , NumPy , SQL , and integrate text analytics using NLTK . Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Use the Function Framework to encapsulate business logic and automate workflows. Apply basic knowledge of cloud platforms (AWS, Azure, or GCP) for deployment and scaling. Assist in data integration, processing, and transformation for Big Data systems. Write clean, maintainable, and efficient Python code. Conduct code reviews, mentor junior developers, and lead small projects as needed. Required Skills & Qualifications: Minimum 3 years of experience in Python development with a strong focus on AI and ML. Proven expertise in OpenAI tools and APIs . Hands-on experience with Machine Learning models and Prompt Engineering techniques. Solid programming skills using Python , along with libraries like Pandas , Numpy , and NLTK . Experience developing and integrating REST APIs . Working knowledge of SQL and relational database systems. Familiarity with Function Frameworks and modular design patterns. Basic understanding of cloud platforms (AWS/GCP/Azure) and Big Data concepts. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Preferred Qualifications: Exposure to Docker , Kubernetes , or similar container orchestration tools. Understanding of MLOps , data pipelines , or cloud-based AI deployments . Experience with version control systems like Git and CI/CD pipelines.

As a Mid-Level AI Engineer at our company, you will be an integral part of our AI team, focusing on the development of intelligent applications using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems. Your collaboration with data scientists, backend engineers, and product teams will be pivotal in building and deploying AI-powered solutions that bring real-world value. Your responsibilities will include designing, developing, and optimizing applications by leveraging LLMs such as GPT, LLaMA, and Claude. You will also be responsible for implementing RAG pipelines to enhance LLM performance through domain-specific knowledge bases and search tools. Developing and maintaining robust Python codebases for AI-driven solutions, integrating vector databases like Pinecone, Weaviate, FAISS, and embedding models for information retrieval will be a key part of your role. Additionally, you will work with APIs, frameworks like LangChain, Haystack, and tools to build scalable AI workflows. Collaborating with product and design teams to define AI use cases and deliver impactful features, conducting experiments to evaluate model performance, retrieval relevance, and system latency, as well as staying updated on research and advancements in LLMs, RAG, and AI infrastructure are also important aspects of your responsibilities. To be successful in this role, you should have at least 3-5 years of experience in software engineering or AI/ML engineering, with a strong proficiency in Python. Experience working with LLMs from OpenAI, Hugging Face Transformers, etc., hands-on experience with RAG architecture, vector-based retrieval techniques, embedding models like SentenceTransformers, OpenAI embeddings, and vector databases such as Pinecone, FAISS is required. Knowledge of API design, deployment, performance optimization, version control using Git, containerization with Docker, and cloud platforms like AWS, GCP, Azure is essential. Preferred qualifications include experience with LangChain, Haystack, or similar LLM orchestration frameworks, understanding of NLP evaluation metrics, prompt engineering best practices, exposure to knowledge graphs, semantic search, document parsing pipelines, experience in deploying models in production, monitoring system performance, and contributions to open-source AI/ML projects are a plus.,

Are you excited about building cutting-edge AI systems that revolutionize how cloud infrastructure is run At Oracle Cloud Infrastructure (OCI), we're reimagining operations for the enterprise cloud, and we're looking for ML Engineers to drive this transformation. OCI is a hyperscale cloud platform where operations are core to customer success. For OCI to scale and remain competitive, we need to automate incident detection, diagnosis, and resolutionpushing the limits of AI and GenAI in cloud operations. Join us to build intelligent AI solutions that proactively manage cloud environments, boost operational excellence, and deliver a world-class customer experience. If you're passionate about solving deep technical challenges and shaping the next generation of autonomous cloud, this is your moment. Lead AI Agent Development: Drive the end-to-end design and development of AI agents tailored for cloud operations, ensuring scalability, reliability, and alignment with customer needs. Architect and implement tools and frameworks that accelerate AI agent development, experimentation, deployment, and monitoring. Design and execute robust methodologies to evaluate agent performance, safety, and accuracy across diverse operational scenarios. Develop advanced meta prompting techniques to dynamically adapt prompts and maximize LLM utility in varied, real-time operational contexts. Integrate cutting-edge LLM technologies into OCI systems, leveraging fine-tuning, retrieval-augmented generation (RAG), and other advanced techniques. Partner with product, UX, and engineering teams to align technical solutions with business priorities and user experience. Collaborate directly with enterprise customers to gather requirements, validate solutions, and ensure agent effectiveness in production environments. Mentor engineers, establish best practices in AI agent engineering, and contribute to the technical vision and roadmaps. Required Qualifications: - Overall 5+ with 2+ years of experience in machine learning engineering, with hands-on experience in building AI agents and production-grade ML systems. - Proven expertise in large language models (LLMs), transformers, and GenAI technologies. - Demonstrated experience in prompt engineering and developing prompting strategies for LLM-based applications. - Demonstrated ability to evaluate and optimize AI agent performance in real-world, mission-critical environments. - Solid programming skills in Python and practical experience with ML frameworks such as PyTorch or TensorFlow. - Deep understanding of MLOps practices, including model deployment, scalability, observability, and lifecycle management. - Excellent problem-solving skills with a bias for action and execution. - Ability to convince technical leaders and executives. - Strong written and verbal communication skills, including direct collaboration with enterprise customers and cross-org teams. - Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field. Preferred Qualifications: - Experience building AI assistants or conversational agents for enterprise applications. - Experience working with multi-agent systems, reinforcement learning, or autonomous decision-making frameworks. - Familiarity with LLM fine-tuning, RAG (Retrieval-Augmented Generation), or vector database integration. - Background in cloud operations, DevOps, or infrastructure monitoring domains. - Familiarity with Oracle Cloud Infrastructure or other major cloud platforms. - Contributions to open-source ML projects and/or Publications or patents in ML, NLP, or AI agent systems. Why Join Us - Be at the forefront of designing AI Agents and the infrastructure that powers them. - Shape the future of AI-powered cloud operations at Oracle. - Work with cutting-edge AI technologies and solve impactful real-world problems. - Collaborate with a world-class team of engineers, researchers, and product leaders. - Competitive compensation, benefits, and career growth opportunities.,