115 Prompt Engineering Jobs - Page 3

Job Title: Tech Lead, Prompt Engineering Report To: Prompt Engineering Manager Location: Bangalore/Hyderabad/chennai/coimbatore Position: Full-time Department: Annalect Engineering Position Overview Prompt Engineer is an emerging role at Annalect, which plays a key role in developing our advanced generative AI capabilities. Prompt engineers work closely with business, product, and engineering stakeholders to create valuable and amazong AI capabilities with LLMs and other AI capabilities. Key Responsibilities: Develop and evaluate prompts for AI agents, chatbots, and other capabilities. Develop monitoring techniques to check the accuracy and performance of models during development and production. Test and analyze outputs from AI by experimenting with different prompts/techniques. Work with application and QA teams to implement monitoring and CI/CD Combine correct techniques for querying data in alignment with the capabilities for prompts Required Skills At least 5+ years of previous software engineering experience. Working experience of common software development techniques, including git, github/bitbucket pull request workflows, and intermediate python (ruby, C#, or other server language) Proven ability to write clear and specific instructions for LLM and diffusion models Experience with interactive problem-solving techniques. Familiarity with iterative design methodologies. Strong problem-solving and analytical skills. Solid knowledge of data structures, data formats, and data modeling Understanding (and preferrable practical experience) with common software architecture patterns, ability to reason about different components of the software stack Passion for Technology: Excitement for new technology, bleeding edge applications, and a positive attitude towards solving real-world challenges Excellent communication and collaboration skills Additional Skills BS, MS, in Computer Science, Computational Linguistics, or a related field, or equivalent real-world experience Knowledge of Vector databases such as Pinecone or Milvus with experience in at least one type of databases (MSQL/ PSQL) Experience with LangChain and Weights & Biases is a plus Familiarity with big data technologies such as Hadoop, Spark, and Hive Proven ability to independently execute projects from concept to implementation and to maintain a live product Perks of Working at Annalect Culture. We have an incredibly fun, collaborative and friendly environment, and often host social and learning activities such as game night, speaker series, and so much more! Generous vacation policy. Paid time off (PTO) includes vacation days, personal days, and a Summer Friday program. Extended time off around the holiday season. Our office is closed between Xmas and New Year to encourage our hardworking employees time to rest, recharge and celebrate the season with family and friends. As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a startup - we move fast, break things, and innovate. We are an equal opportunity employer. Annalect, a division of Omnicom Media Group, reaffirms its commitment to the policy of Equal Employment Opportunity and to carrying out this policy at all of its offices. It shall be the policy of Omnicom Media Group to (1) recruit, select, hire, train, promote, pay, discipline and terminate employees in all job classifications without regard to age, race, color, creed, national origin, citizenship status, alienage, religion, sex, sexual orientation, marital status, veteran status, disability or any other basis upon which discrimination against or harassment of employees or applicants for employment is prohibited under any applicable federal, state or local equal opportunity employment laws and (2) ensure that all personnel actions are administered without discrimination in violation of applicable law. annalect.com

Responsibilities: * Collaborate with dev team on API testing using GIT and CI/CD pipeline. * Develop automated tests with Python, PyTest, and frameworks.

Role - AI/ ML Engineer Location - Gurugram We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications Bachelors or Master’s degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). • Experience with AWS and Snowflake services • Prior Healthcare experience • Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. • Excellent problem-solving and communication skills.

Role - AI/ ML Engineer Location - Bangalore We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. Conduct research and stay up to date with the latest advancements in generative and agentic AI. Ensure ethical, safe, and responsible AI development practices. Required Qualifications Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. Proficiency in Python and ML frameworks such as PyTorch Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). Experience with AWS and Snowflake services Prior Healthcare experience Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. Excellent problem-solving and communication skills.

Client Name: WIPRO Location: PAN INDIA Mode: Hybrid Job Description: Experience Required: 10+ years in AI/ML and Solution Architecture roles (Strong programming and system integration background required) Key Responsibilities: Troubleshoot and fix an existing BERT-integrated Outsystems+AMP solution, including scheduler code debugging. Translate complex business requirements into scalable and integrative AI/GenAI solutions. Architect and guide end-to-end implementation of AI systems aligned with Ericssons target architecture (e.g., TAMP). Lead architectural reviews and support development teams to ensure solution compliance. Manage risks associated with AI models via standard risk assessment protocols. Create, maintain, and own architectural documentation and blueprints. Present technical concepts and designs to stakeholders. Collaborate with cross-functional teams including development and platform teams for successful project delivery. Additional Responsibilities: Apply advanced ML algorithms to solve business problems and drive value. Build and deploy data science solutions at scale (AWS Sagemaker, Kubernetes, Docker). Stay updated with current AI trends and contribute to applied research, innovation, and IP creation (e.g., publications, patents). Deliver insights to business leaders to influence decision-making. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. Proven track record in delivering AI/ML solutions (preferably in Finance domain). Recognized experience on data science platforms (e.g., Kaggle achievements is a plus). Strong coding background in Python and experience in cloud-native environments. Good to Have: Domain expertise in Finance. Contributions to open-source or research community (e.g., Kaggle, GitHub, papers).

We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) f or text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications • Bachelors or Masters degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex) , transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents ). • Experience with AWS and Snowflake services • Prior We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments.

Job description Role - AI/ ML Engineer Location - Gurgaon Exp - 6 to 9 yrs Shift Timings - 12 PM to 9 PM Job Description We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams, including product, design, and engineering, to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). • Experience with AWS and Snowflake services • Prior Healthcare experience • Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. • Excellent problem-solving and communication skills.

We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications • Bachelors or Masters degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). • Experience with AWS and Snowflake services • Prior Healthcare experience • Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. • Excellent problem-solving and communication skills. Shift Timings - 12 PM - 9 PM Office location -Bangalore/ Gurgaon ( Carelon offc locations )

Role - AI/ ML Engineer Location - Gurgaon Shift Timings - 12 PM to 9 PM Job Description We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams, including product, design, and engineering, to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). • Experience with AWS and Snowflake services • Prior Healthcare experience • Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. • Excellent problem-solving and communication skills.

Seeking a Full Stack Developer with 3+ years experience in scalable app development. Must be proficient in frontend & backend tech, and passionate about AI tools and prompt engineering to boost productivity and innovation.

Role & responsibilities Should be aware of Software Development using Chat GPT Prompt Engineering. Preferred candidate profile Having knowledge on python, html / CSS / JavaScript, SQL and Dot net technologies.

The JD for AI/Ml programmer is given below: Key Responsibilities: Design, develop, and deploy Generative AI models using state-of-the-art architectures (e.g., Transformers, Diffusion models). Build and fine-tune LLM-powered agents capable of multi-step reasoning, task planning, and tool use. Work with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI , or similar agent orchestration tools. Integrate models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems. Optimize inference pipelines for performance, latency, and scalability. Collaborate with product managers and data scientists to prototype and productionize AI features. Stay updated on recent advancements in Generative AI and autonomous agents. Required Qualifications: 34 years of hands-on experience in Machine Learning / Deep Learning , with at least 1–2 years in Generative AI and/or AI Agents . Proficiency in Python and ML libraries such as PyTorch , TensorFlow , Transformers (Hugging Face) . Experience with LLM APIs (OpenAI, Claude, Mistral, etc.) and building LLM-based applications. Solid understanding of prompt engineering , fine-tuning , RAG (Retrieval-Augmented Generation) , and multi-modal learning . Familiarity with agent orchestration frameworks and LLM tool chaining . Strong problem-solving and communication skills. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases). Knowledge of Reinforcement Learning or Meta-learning for agent training. Experience contributing to open-source projects or published papers in the field of AI.

We are looking for an AI Agent & Automation Developer to design, develop, and deploy intelligent workflows and autonomous agents that streamline operations and enhance productivity by using tools like OpenAI, LangChain, n8n, VAPI and Chatbot.

Senior Business Analyst (Bangalore - In-Office) Applicants not based in Bangalore will be instantly rejected, We're looking for the right people already based here and available within 1 months notice. Shape what gets built. Bring clarity to chaos. Use AI to go faster. Were a profitable, fast-growing SaaS startup building an AI-first platform that helps creators automate and scale their content across social media. Our tools are used by 100k+ creators and we’re just getting started. We’re now looking for a Senior Business Analyst to join our product team in Bangalore. This role is perfect for someone who thinks like a product manager, loves turning fuzzy ideas into structured plans, and enjoys working at the intersection of users, design, and code. Oh — and if you’re excited about using AI tools (like ChatGPT or Claude) to write better documentation, map user journeys, or even draft user stories? You’ll feel right at home here. What You’ll Be Doing Turn ideas into action. Work closely with product managers to break down features into clear user stories, edge cases, flows, and acceptance criteria. Own the docs. Write the kind of requirements, diagrams, and flows that engineers love — detailed, unambiguous, and built for speed. Think in journeys. Help map out entire user experiences with product and design, from the happy path to the tricky edge cases. Facilitate TDD documentation. Collaborate with engineering to write or support test-driven development docs that clearly define what success looks like before the first line of code is written. Use AI tools to move faster. Draft documentation, organize requirements, or summarize feedback using the latest generative AI tools. (We don’t just talk AI — we build with it.) Facilitate alignment. Be the bridge between product, engineering, and design — especially when decisions or dependencies get tricky. Stay close to the product. Join grooming sessions, help plan sprints, track delivery, and be the source of truth for “what exactly are we building?” Follow the data. Use product analytics and SQL (or tools like PostHog/Amplitude) to shape decisions, validate ideas, or spot what’s not working.

Role & responsibilities We are looking for Data Scientist position permanent position with US MNC for Remote. Job Posting Title: Data Scientist What does a Data Scientist do? As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the cutting-edge technology market. What you will do: Develop AI-Driven Data Conversion Application: Utilize AI technologies to develop a comprehensive data conversion application. Data Mapping: Implement AI algorithms for accurate data mapping from source to target. Code Generation: Automate code generation using AI models. Data Validation: Apply AI-driven validation techniques to ensure data integrity and quality. Code Conversion: Facilitate seamless code conversion using AI algorithms. Collaboration: Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. Monitor and Troubleshoot: Continuously monitor and troubleshoot the AI-driven application to ensure optimal functionality. Documentation: Maintain detailed documentation of methodologies and processes used in the application development. Stay Updated with Technologies: Keep up-to-date with the latest AI, data science, and data conversion technologies to enhance the application. What you will need to have: Bachelors or Masters Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Knowledge of Data Mapping Techniques: Experience with AI-driven tools and methodologies for data mapping.• Strong Code Generation Skills: Experience in developing AI models for automating code generation. Experience with Data Validation: Implementing AI-based validation techniques. Familiarity with Code Conversion: Understanding AI algorithms for code conversion. Experience with Databases like SQL Server and MongoDB. Collaboration Skills: Ability to work effectively with cross-functional teams. Problem-Solving Skills: Strong ability to identify issues and develop creative solutions. Attention to Detail: Ensure accuracy and reliability of data conversions. 5+ Years of Relevant Experience in data science or a related field. Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: Experience in the Financial Services Industry and an understanding of compliance standards. Certification in Data Science or AI/ML. Experience with Master data management, Data Wrangling and ETL Processes. Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Previous Experience Delivering AI Solutions for complex data or conversions: Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts , Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation

GenAI, NLP, or LLM based systems , strong Python development skills and working LangChain, LlamaIndex, Hugging Face Transformers, or similar GenAI libraries Deep understanding of vector databases and embedding techniques

Role & responsibilities Lead the development of generative AI applications using OpenAI models, LLMs, and RAG methods to enhance the accuracy and relevance of AI responses. Develop and optimize prompt engineering strategies for specific use cases to improve AI output quality. Build and integrate AI models into scalable applications using serverless architecture and cloud infrastructure (Azure preferred). Implement RAG techniques, combining retrieval of relevant data with LLM responses for accurate and context-aware outputs. Collaborate with product teams to integrate AI capabilities into the broader product ecosystem. Design and implement APIs that leverage AI models for real-time data processing and user interaction. Enhance performance and fine-tune LLMs for high accuracy and relevancy in diverse applications. Manage AI model deployment, monitoring, and improvement processes to ensure long-term scalability. Work on natural language processing (NLP) solutions to improve customer experience through AI-driven features. Ensure adherence to security, privacy, and ethical considerations of AI models. Lead a team of developers and collaborate with data scientists to integrate and optimize AI functionalities. Provide technical guidance and mentorship to junior developers in AI, LLM, and RAG projects. Preferred candidate profile 3-5 years of experience in AI and machine learning development, with a focus on generative AI and LLMs. Extensive experience with OpenAI, GPT models, and RAG methodologies. Expertise in prompt engineering for AI-driven applications. Strong experience in full-stack development with technologies like Python, Azure, and serverless architectures. Proven experience with Azure services such as Azure Container Apps, Azure Data Lake, Azure Cosmos DB, Azure SQL DB, and Azure Data Factory. Knowledge of API design, real-time data processing, and AI model optimization. Hands-on experience with NLP technologies and frameworks. Familiarity with CI/CD pipelines and best practices for continuous deployment and integration. Strong understanding of AI ethics, data privacy, and security considerations in AI-powered applications. Nice to Have: Experience with mobile development frameworks (e.g., CapacitorJS, Ionic). Familiarity with front-end frameworks and design principles (e.g., Material UI). Experience in advanced AI platforms (e.g., Bedrock, Anthropic). Experience in AI-powered chatbots and conversational AI solutions. Benefits: Competitive salary with performance bonuses. Fully remote and flexible working environment. Opportunities to work with cutting-edge AI technologies and innovative product teams. Career growth in a rapidly evolving industry focused on Generative AI and machine learning

Req ID: 284544 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Integration Advisor -Technical Architecture-Cloud Services-AWS to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Job Description: We are seeking a highly skilled and motivated Mid-Level AI/DS Specialist to join our dynamic team at NTT Data. The ideal candidate will have a strong background in artificial intelligence and data science, with expertise in natural language processing (NLP), generative AI (Gen-AI), and conversational AI. The candidate should be well-versed with the Microsoft AI platform, OpenAI, Databricks, Python, and common data science libraries and tools. Additionally, the candidate should be capable of fine-tuning large language models (LLMs) and familiar with AI/ML engineering and prompt engineering. Key Responsibilities: Develop and implement AI/DS solutions to enhance business processes and customer experiences. Utilize NLP, Gen-AI, and conversational AI techniques to build and optimize AI models. Work with the Microsoft AI platform, OpenAI, and Databricks to develop and deploy AI solutions. Write efficient and scalable code in Python, leveraging common data science libraries and tools. Fine-tune LLM models to meet specific project requirements. Collaborate with cross-functional teams to integrate AI/DS solutions into existing systems. Stay updated with the latest advancements in AI/DS and apply them to ongoing projects. Conduct prompt engineering to improve the performance and accuracy of AI models. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Proven experience in AI/DS, with a focus on NLP, Gen-AI, and conversational AI. Proficiency in the Microsoft AI platform, OpenAI, Databricks, and Python. Strong knowledge of common data science libraries and tools. Experience in fine-tuning LLM models. Familiarity with AI/ML engineering and prompt engineering. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Req ID: 326901 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Software Development Senior Specialist to join our team in Bengaluru, Karn?taka (IN-KA), India (IN). Fullstack developer with C# .net development, Python , Databricks and Prompt engineering Define and set-up APIs between Phoenix (Munich Re Document Intake Solution) and Navig8 (Power Platform application) and Activ8 (custom build azure .NET web app) Developing in Python for Data processing and analytics Work with Databricks Unity Catalog Prompt Engineering / Processing of LLM Model results About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Design, develop, and optimize prompts to improve user interactions with AI models and tools. Collaborate with cross-functional teams to integrate prompt engineering capabilities into various applications. Implement and maintain high-quality prompt solutions within CoPilot Studio, ensuring alignment with user experience goals. Utilize the Azure Communication Framework to enhance AI model performance in real-world applications. Continuously test, evaluate, and refine prompt workflows to ensure effectiveness and efficiency. Document prompt design processes, testing protocols, and configuration guidelines to support operational consistency. Provide support in troubleshooting and resolving prompt-related issues. Design, develop, and optimize prompts to improve user interactions with AI models and tools. Collaborate with cross-functional teams to integrate prompt engineering capabilities into various applications. Implement and maintain high-quality prompt solutions within CoPilot Studio, ensuring alignment with user experience goals.

Principle Developer - ML/Prompt Engineer Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda, Responsibilities: Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Optimize the RAG model for performance, scalability, and reliability, using best practices and robust engineering methodologies. Design, test, and optimize prompts to improve performance, accuracy, and alignment of large language models across diverse use cases. Develop and maintain reusable prompt templates, chains, and libraries to support scalable and consistent GenAI applications. Skills/Qualifications: Experience in programming with at least one software language, such as Java, Python, or C/C++. Experience in working with generative AI tools, models, and frameworks, such as Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch, or Jupyter. Experience in working with RAG models or similar architectures, such as RAG, Ragna, or Pinecone. Experience in working with Amazon Bedrock or similar platforms, such as AWS Lambda, Amazon SageMaker, or Amazon Comprehend. Ability to design, iterate, and optimize prompts for various LLM use cases (e.g., summarization, classification, translation, Q&A, and agent workflows). Deep understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought, etc.) and their effect on model behavior. Familiarity with prompt evaluation strategies, including manual review, automatic metrics, and A/B testing frameworks. Experience building prompt libraries, reusable templates, and structured prompt workflows for scalable GenAI applications. Ability to debug and refine prompts to improve accuracy, safety, and alignment with business objectives. Awareness of prompt injection risks and experience implementing mitigation strategies. Familiarity with prompt tuning, parameter-efficient fine-tuning (PEFT), and prompt chaining methods. Familiarity with continuous deployment and DevOps tools preferred. Experience with Git preferred Experience working in agile/scrum environments Successful track record interfacing and communicating effectively across cross-functional teams. Good communication, analytical and presentation skills, problem-solving skills and learning attitude Mandatory Key Skills Amazon Bedrock,RAG Models,Java,Python,C++,AWS Lambda,RAG model,Anthropic, OpenAI,Hugging Face,TensorFlow,PyTorch,Jupyter,Amazon SageMaker, DevOps tools, Prompt Engineering*

Lead Software Engineer GenAI Development and Exploration Location: India Experience: 510 Years Primary Skillset: Generative AI Services, Machine Learning, Python, Cloud, MLOps, Prompt Engineering About the Role: We are seeking a visionary and hands-on Lead Software Engineer to drive Generative AI development and exploration initiatives within our technology innovation team. This role is ideal for someone passionate about applying GenAI to real-world enterprise challenges and who enjoys building proof-of-concepts, production-ready solutions, and scalable AI platforms. Key Responsibilities: Lead the design and development of Generative AI applications, including LLM-based solutions, document intelligence, summarization, chatbot development, and intelligent automation. Evaluate and integrate GenAI services and APIs (e.g., Vertex AI, OpenAI, Anthropic, HuggingFace, etc.) into existing or new platforms. Build scalable backend services and data pipelines to support AI/ML workloads. Explore and validate use cases across multiple business functions for GenAI application and automation opportunities. Mentor junior engineers on GenAI design patterns, best practices, and engineering discipline. Partner with data scientists, product teams, and business stakeholders to define requirements, build MVPs, and iterate toward enterprise-scale solutions. Champion MLOps practices for GenAI model deployment, monitoring, and lifecycle management. Contribute to technical research, architecture recommendations, and the long-term GenAI roadmap. Qualifications: Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. 8+ years of experience in software engineering with 23 years working directly with AI/ML models or GenAI solutions. Strong experience with Python, cloud platforms (especially GCP Vertex AI), and ML frameworks. Hands-on experience with LLMs, prompt engineering, fine-tuning, and embeddings. Experience in building and integrating GenAI services in real-time or batch applications. Solid understanding of machine learning lifecycle, data preprocessing, and deployment pipelines. Familiarity with CI/CD pipelines, API development, and cloud-native architectures. Excellent communication, collaboration, and stakeholder management skills.

About the job: Key responsibilities: 1. Build AI-driven tools and products using APIs (OpenAI, Gemini, etc.) 2. Design and fine-tune prompts for various use cases 3. Integrate vector databases (Pinecone, ChromaDB) for retrieval-augmented generation (RAG) 4. Collaborate with designers, content teams, and founders to turn ideas into polished tools Note: Only recent graduates are allowed to take the interview. Who can apply: Only those candidates can apply who: are Computer Science Engineering students Salary: ₹ 3,00,000 - 5,00,000 /year Experience: 0 year(s) Deadline: 2025-06-28 23:59:59 Skills required: Backend development, Artificial intelligence, Prompt Engineering, ChatGPT, Claude and Gemini Other Requirements: 1. Degree Btech - AI/Ml, others ( who has done AI/ML projects) 2. Strong understanding of LLM APIs (OpenAI, Claude, Gemini, etc.) 3. REST API integration and deployment knowledge 4. GitHub portfolio with working AI tools or integrations About Company: Stirring Minds is a premier startup ecosystem in India, dedicated to helping businesses launch, scale, and succeed. As a leading incubator, we provide funding, co-working spaces, and mentorship to support the growth of innovative companies. In addition to our incubator services, we also host the largest startup event in the country known as Startup Summit Live, bringing together entrepreneurs and industry leaders to connect, learn, and collaborate. Our community-driven approach extends beyond our event and incubator offerings, as we work to create communities of like-minded individuals who can support and learn from one another. We have been recognized by top media outlets both in India and internationally, including the BBC, The Guardian, Entrepreneur, and Business Insider. Our goal is to provide a comprehensive ecosystem for startups and help turn their ideas into reality.

What you will be doing As the AID Engr III Spec - Data Science - AI Product Manager for Business Enablement Organization, you will be responsible for Business engagement, architecting and building innovative solutions by applying cutting edge data science techniques. Engaging closely with the business stakeholders, understand problem statements and incubate ideas and models. Discovering insights using data modeling and analysis techniques that will guide strategic decisions and uncover optimization opportunities. Creating data science driven solutions that drive product effectiveness, personalization, better customer experience and operational efficiencies. Working closely with the stakeholder to prioritize the use cases and build the roadmap. Working with a talented team of data analysts, software developers and data science professionals who will play a key role in developing and delivering the next generation AI/ML solutions to the business. Having a passion to understand domains, systems and be able to associate business opportunities to this understanding and create analytical solutions Strategies and opportunities where data science and AI can be leveraged. Cross-team collaboration Working closely with other AI D pillars like AI Center, Data engineering and ML engineering and other groups Performing thorough data analysis, uncover opportunities and address business problems. Assertive and objective decision-making skills with the drive to deliver and arrive at solutions. Diagnosing business bottlenecks and provide prescriptive recommendations for stakeholders. What we are looking for You have excellent analytical skills, and are eager to work in a collaborative environment with global teams to drive data science applications for business problems, develop end-to-end analytical solutions and communicate insights and findings to leadership. You have strong expertise in VCG digital sales, Retail and in driving use cases that drive personalization. You are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You will need to have: Bachelors degree or Four or more years of work experience. Three or more years of experience practicing data science in business. Prior experience working in a Product team and having a product mindset. Extensive experience with AI solutioning in the Networks related areas like workforce optimization, reliability, Energy optimization etc. Strong communication, presentation and collaboration skills. Good Consumer knowledge and experience. Excellent analytical skills and use case prioritizations to build the roadmap at the product level in alignment with the business and stakeholders. Excellent knowledge on machine learning and predictive modeling. Experience in identifying business opportunities and build impactful data science driven use cases. Excellent problem solving and critical thinking capabilities. Experience using different statistical/modeling techniques. Excellent working knowledge of SQL for data analysis and EDA using Python. Ability to create compelling narratives and articulate insights through strong storytelling skills. Experience working in analytics projects. Even better if you have one or more of the following: Experience interacting and collaborating deeply with other lines of business the ability to work across cross cultural teams. Experienced with A/B and Multivariate testing, and should be able to provide recommendations accordingly. Expertise in performing thorough data analysis using database queries, spreadsheets, statistical packages tools, and communicate results effectively. Experience with dev-ops and agile models, as well as more traditional functional operating models. Ability to interact and provide executive level communications to senior management. Exposure to GenAI and Prompt engineering. Experience managing time-bound project deliverables for multiple stakeholders.

We are seeking a hands-on, forward-thinking Machine Learning Technical Lead with deep expertise in traditional ML, NLP, Generative AI, and causal inference, and a strong understanding of multimodal large language models (LLMs) capable of processing both image and text data. The ideal candidate will lead the development, scaling, and evaluation of cutting-edge AI systems that deliver high business value from complex, high-volume datasets. This role involves team leadership, cloud-native ML deployment (AWS/Azure), statistical rigor, and clear communication of AI-driven insights to both technical and non-technical stake holders Key Responsibilities: Lead the design, development, and deployment of machine learning systems covering: Predictive modelling NLP tasks: NER, summarization, classification Generative AI: LLMs with prompt engineering and fine-tuning Causal inference and impact evaluation Multimodal modelling using vision-language models (e.g., CLIP, BLIP, GPT-4V) for use cases that involve image and text inputs Build and scale models that support impact evaluation, uplift modelling, and causal inference, using frameworks like Do Why, EconML, or CausalNex. Collaborate with stakeholders to define, quantify, and evaluate the causal impact of product interventions, policy changes, or ML-driven decisions. Architect scalable ML pipelines on AWS or Azure, handling high-throughput, multi-source data ingestion and model orchestration. Guide the integration of LLMs and prompt engineering into business workflows (e.g., classification, summarization, generative reasoning). Conduct deep exploratory data analysis (EDA) using statistical techniques: hypothesis testing, correlation analysis, regression diagnostics. Ensure robust MLOps practices including CI/CD, automated retraining, performance monitoring, and rollback strategies. Present AI findings, impact estimates, and strategic implications to technical peers, executives, and cross-functional partners. Mentor and manage a team of data scientists and ML engineers, fostering best practices and continuous innovation. Required Skills and Qualifications: Bachelors or Master’s in Computer Science, Statistics, Data Science, or related quantitative field. 6+ years of experience in AI/ML development, with 2+ years in a technical leadership capacity. Hands-on experience with: Predictive modelling (e.g., regression, XGBoost, tree-based models) NLP systems (e.g., NER, summarization, classification) Generative AI models (e.g., GPT, LLaMA) and prompt engineering Causal inference frameworks (e.g., DoWhy, EconML, Pyro) Strong statistical foundation with expertise in experimental design, counterfactual analysis, and impact evaluation. Proficiency in Python, PySpark, and libraries like scikit-learn, Hugging Face Transformers, and REST framework Candidate must be in Chennai or in the nearby districts, or in the nearby states of Kerala, Karnataka and willing to relocate to Chennai