4225 Openai Jobs - Page 43

Prompt Ops / AI Engineer - AI & Product Team Location : Mumbai (or Remote) Type : Full-time Reports To : CEO / Co-Founder Start Date : Immediate or within notice period About The Role We are looking for a Prompt Ops / AI Engineer to join our AI & Product team and help shape how we build, test, and scale AI-driven products. This is a hands-on and creative role for someone who enjoys crafting effective prompts, optimizing model behavior, and building workflows around cutting-edge AI tools. You'll work closely with product managers, engineers, and designers to prototype, evaluate, and deploy generative AI solutions that enhance user experience, automate workflows, and unlock new capabilities. What You'll Do Design, test, and optimize prompts for large language models (LLMs) and generative AI systems. Collaborate with cross-functional teams to translate business needs into robust AI workflows. Evaluate and monitor model outputs to ensure quality, relevance, and alignment with intended outcomes. Build and maintain a library of reusable prompt templates and best practices. Stay updated with advances in LLM capabilities, prompt engineering techniques, and evaluation frameworks. Prototype and validate AI-driven use cases for internal tools, customer-facing products, and process automation. Contribute to documentation, knowledge sharing, and education about prompt engineering within the team. What We're Looking For 2-4+ years of experience in a product, engineering, AI/ML, or content/ops role with exposure to AI technologies. Demonstrated ability to craft and iterate on prompts to achieve specific outcomes from generative AI models. Familiarity with tools like GPT-4, Claude, LLaMA, LangChain, or similar frameworks. Data-driven mindset with comfort working with metrics, experimentation, and iterative improvement. Strong communication skills - can clearly document workflows and explain model behaviors to non-technical stakeholders. Bonus : coding skills (e.g., Python, JSON), and ability to work closely with engineers to integrate prompts into production systems. Why This Role Is Special Work at the cutting edge of AI + product innovation, driving real impact in how technology is applied. Opportunity to build reusable AI capabilities that power multiple products and use-cases. Collaborate with a forward-thinking, cross-disciplinary team in a fast-growing, mission-driven company. Learn and grow in one of the most exciting fields in tech today - generative AI and prompt engineering. Tools You Might Use OpenAI API, Claude, Perplexity, LangChain Notion, Airtable, Linear, Figma Product analytics : Mixpanel, Amplitude Prompt testing & evaluation frameworks, Python scripts, version control tools (Git) (ref:hirist.tech)

Job Description We are looking for a skilled Python Developer with a strong background in web application development using frameworks like Django, Flask, and FastAPI. The ideal candidate should also possess hands-on experience in building Generative AI (GenAI) applications leveraging modern AI/ML libraries and frameworks such as LangGraph, LangChain, and LLMs, and integrating them with vector databases like Pinecone or PGVector. Key Responsibilities Web Development : Design, develop, and maintain scalable RESTful APIs using Django, Flask, or FastAPI. Build and deploy modern web applications that are performant, modular, and secure. Implement API authentication and authorization using OAuth2, JWT, or session-based approaches. Work with frontend teams to integrate APIs and ensure smooth end-to-end flows. Follow CI/CD and Git-based deployment workflows using tools like GitHub/GitLab, Jenkins, or Docker. GenAI Application Development Build intelligent applications using LangGraph and LangChain for orchestrating LLM workflows Integrate OpenAI, Anthropic, HuggingFace, or custom LLMs into production workflows. Design and optimize RAG (Retrieval Augmented Generation) pipelines using vector databases such as Pinecone, PGVector etc Database And Backend Integration Work with relational databases like PostgreSQL and MySQL. Write efficient and scalable queries for large-scale datasets. Experience with AWS/GCP/Azure is a plus. Required Skills Minimum of 3 years of experience application development using Python/django Proficient in developing and consuming RESTful API Experience with LangGraph, LangChain, and GenAI tools/workflows Experience with LLMs (OpenAI GPT-4, Claude, Llama, etc.) Good understanding of software design principles, code modularity, and version control (Git) (ref:hirist.tech)

Job Description Responsibilities : Identify relevant data sources - a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data, leveraging NLP techniques for text data. Handle large amounts of information to create the input for analytical models, incorporating Gen AI for advanced data processing and generation. Build predictive models, machine learning, and deep learning algorithms; innovate with Gen AI applications in model development. Build network graphs, apply NLP techniques for text analysis, and design forecasting models while building data pipelines for end-to-end solutions. Propose solutions and strategies to address business challenges, integrating Gen AI and NLP in practical applications. Collaborate with product development teams and communicate with Senior Leadership teams. Participate in problem-solving sessions, leveraging NLP and Gen AI for innovative solutions. Requirements Bachelor's degree in a highly quantitative field (e., Computer Science, Engineering, Physics,Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI andNatural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, namedentity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. (ref:hirist.tech)

Title : GenAI Engineer Location : Bengaluru, Chennai, Hyderabad, Pune, Vadodara, Gujarat Years of Exp : 7 to 12 Years Employment Type : Full-time Key Responsibilities Architect and develop Generative AI-based applications using Azure OpenAI, Azure ML Studio, Azure Cognitive Search, and Azure Document Intelligence. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise search, knowledge management, and domain-specific Q&A systems. Integrate Large Language Models (LLMs) into production applications with attention to performance, scalability, and governance. Design intelligent workflows using LangChain, LlamaIndex, and Semantic Kernel for orchestrating multi-step AI interactions and agent behaviors. Collaborate with data scientists, ML engineers, and DevOps to deploy, monitor, and manage cloud-native AI solutions. Incorporate OCR capabilities and document understanding pipelines using Azure Form Recognizer and Document Intelligence. Ensure AI models and pipelines comply with enterprise standards, data privacy, and responsible AI principles. Lead proof-of-concepts (PoCs), rapid prototypes, and solution demos to validate GenAI use cases across departments. Maintain a strong understanding of evolving LLM architectures, foundation models, and emerging GenAI techniques. Contribute to technical documentation, best practices, and reusable solution accelerators. Required Qualifications Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proven Experience With Azure AI Services, Including Azure OpenAI Azure Machine Learning Studio Azure Cognitive Search Azure Form Recognizer / Document Intelligence Strong Python development skills, especially in the context of LLM pipelines and prompt engineering. Expertise with GenAI libraries and tools such as: LangChain LlamaIndex Semantic Kernel Familiarity with RAG architecture, vector databases (e.g., FAISS, Redis, Azure Cognitive Search), and embedding models. Experience with containerization (Docker) and cloud-native deployment pipelines using Azure DevOps, Kubernetes, or Terraform. Understanding of Responsible AI principles, including bias mitigation, explainability, and model monitoring. Excellent problem-solving and communication skills; ability to work in cross-functional agile teams. Preferred Qualifications Experience integrating agent-based frameworks for autonomous task execution and multi-agent collaboration. Knowledge of other GenAI ecosystems like Hugging Face Transformers, Anthropic Claude, or Mistral models. Background in enterprise content management, knowledge graphs, or intelligent document processing (IDP). Azure Certifications Such As Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Azure Solutions Architect Expert What We Offer Opportunity to work on groundbreaking AI initiatives at enterprise scale. Collaborative, fast-paced, and innovation-driven team culture. Flexible work arrangements (remote/hybrid). Competitive compensation, equity options, and comprehensive benefits. (ref:hirist.tech)

Artificial Intelligence : 2-5 : Delhi Skills Were looking for sharp AI developers with hands-on experience in AI development, ideally with a strong foundation in Python (78/10 skill level) and practical exposure to AI/ML concepts and OpenAI agent development. Candidates should possess strong logical thinking, prompt engineering skills, and clear communication abilities. This role offers the opportunity to work on real-world AI agent applications in a fast-growing SaaS platform focused on sales and productivity tools for consulting and financial Full-time B.Tech/BE in Computer Science or related Youll Do : Build intelligent AI agents using OpenAI and LLMs. Design APIs and backend logic to integrate AI into SaaS workflows. Create AI-driven features in Python (Django/Flask). Work on CRM and third-party tool integrations. Continuously improve agent capabilities using prompt engineering and user Should Have : Strong Python coding skills (78/10 level). Hands-on experience with OpenAI APIs and LLMs. Understanding of AI/ML models and architectures. Prompt-writing capability with logical clarity. Familiarity with REST APIs, GitHub, and agile workflows. Bonus: Exposure to React, Mongo/PostgreSQL, GraphQL, or CRM systems. (ref:hirist.tech)

Role Description Developer III - Software Engineering Full-Stack Software Engineer (React & Python) Who We Are At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 25 countries, we build for boundless impact—touching billions of lives in the process. Visit us at UST.com. Roles And Responsibilities Key Responsibilities Design and implement responsive UIs using React (Hooks, Context, Redux or similar). Build and maintain RESTful or GraphQL APIs in Python (Flask, FastAPI, Django). Containerize applications and services with Docker; write Dockerfiles and manage images. Collaborate with product, QA and DevOps to deliver high-quality features end-to-end. Troubleshoot performance, scalability and security issues in production systems. ## Required Qualifications 3+ years professional experience with **React** and modern JavaScript/TypeScript. 3+ years building backend services in **Python**. Experience writing **Docker**files and running containers in development/CI workflows. Familiarity with Generative AI frameworks or APIs (e.g. OpenAI GPT, HuggingFace Transformers). Solid understanding of HTTP, web security, and cross-browser compatibility. Comfortable in Agile/Scrum environments and Git version control. ## Nice-to-Have Experience deploying containers on Kubernetes (EKS, GKE, AKS). Knowledge of cloud platforms (AWS, GCP, Azure). Prior work with MLOps or model deployment frameworks. Background in TypeScript, Next.js or server-side rendering. Familiarity with observability (Prometheus, Grafana, ELK). What We Believe We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the centre of everything we do. Humility We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity Through business, we will better the lives of those less fortunate than ourselves. Integrity We honour our commitments and act with responsibility in all our relationships. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. To support and promote the values of UST. Comply with all Company policies and procedures Skills React,Python,Fast API

You will be responsible for building and maintaining full-stack web applications using technologies such as React.js, Next.js, Node.js, TypeScript, and Python. Your role will involve integrating AI models like OpenAI and Claude, and working on AI chat interfaces. You will utilize prompt engineering techniques to enhance AI responses and user experiences, and leverage AI-native tools like Cursor, Replit, Copilot, and Tannine to write and review clean, maintainable code. Additionally, you will collaborate with cross-functional teams, participate in sprint planning, and optimize performance and scalability using best practices and modern DevOps tools. Your focus will be on shipping features quickly using platforms like Vercel, Supabase, Railway, and n8n. You should have 5-6 years of hands-on experience in full-stack development, with strong proficiency in React.js, Next.js for frontend, and Node.js, Express for backend development. Proficiency in working with PostgreSQL databases and hosted solutions like Supabase is essential. Experience in integrating and working with AI/LLM APIs such as OpenAI (ChatGPT) and Claude, along with familiarity with frameworks like LangChain, AutoGen, or Manus is required. Comfort with modern development and deployment tools like Vercel, Railway, n8n, GitHub, and AI-powered IDEs such as Cursor, Replit, GitHub Copilot, or Tabnine is a plus. Strong proficiency in JavaScript, React, Next.js, Node.js, and TypeScript is also necessary, along with practical knowledge of prompt engineering and vector search concepts. As part of the interview process, you can expect application review, HR screening, technical assessment, final interview, and offer & onboarding stages. Avya Technology is committed to being an equal opportunity employer, making employment decisions based on merit. The company offers a hybrid work environment that allows for remote or office work, flexible timings to accommodate personal time, training opportunities, paid certifications, rewards and recognition programs, and team-building activities to foster a collaborative and inclusive work culture. If you possess leadership qualities, excellent problem-solving skills, and strong communication abilities, and have a passion for working with cutting-edge technologies in a dynamic and collaborative environment, this role at Avya Technology could be the next step in your career growth.,

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. With offices in the UK, US and Spain, we are now thrilled to announce the opening of our new office in Hyderabad, India. This marks an exciting milestone in our global expansion, and we are now looking for talented professionals to join us as part of our founding team. About the Role At Matillion, our engineering culture is shaped around small, cross-functional development teams empowered to own specific product themes and initiatives. Each team brings together engineers of all levels, working collaboratively to build, test, and ship impactful features that help our customers solve real-world data challenges. As a Staff Software Engineer , you will play a key role in driving the technical vision and hands-on development of our platform. You’ll bring deep engineering expertise and a passion for solving complex problems to help us build scalable, performant, and secure software — all while staying at the forefront of cutting-edge technologies, including Generative AI. What You’ll Be Doing Lead by example : Contribute hands-on to software development, championing high-quality code and robust architecture Drive technical direction : Shape the design and evolution of systems, ensuring performance, security, and scalability Collaborate cross-functionally : Work with engineers, product managers, and customer-facing teams to break down large initiatives into actionable plans Mentor and support : Provide guidance to team members through code reviews, knowledge sharing, and pairing Innovate with AI : Develop intelligent features powered by LLMs (Large Language Models), integrating modern GenAI capabilities into our platform Continuously improve : Proactively explore new technologies, contribute to internal best practices, and help evolve our engineering culture What We’re Looking For Agentic AI (Essential) Hands-on experience integrating with LLM APIs such as OpenAI, Anthropic, or Hugging Face Understanding of prompt engineering — crafting and tuning prompts to optimize LLM responses Experience with RAG (Retrieval Augmented Generation) to enrich LLM responses with contextual data Familiarity with key LLM concepts: System/User prompts, tokens, embeddings, context windows, temperature, top-p, stop sequences Hands on experience of MCP server and Agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI, Hugging Face) GenAI Experience (Nice to Have) Experience with fine-tuning models and prompt compression techniques Exposure to GenAI architectures like prompt chaining , agentic workflows , or routing mechanisms Familiarity with Spring AI or similar libraries that abstract LLM interactions Experience designing and using evals to compare LLM performance and optimize prompts Programming Requisites Strong hands-on experience with Java/Python and React , grounded in solid object-oriented principles and software engineering best practices Proficiency in building Java Spring microservices , containerisation with Docker , and experience with relational databases like Postgres, MySQL, or SQL Server Proven track record across the full SDLC , including CI/CD and Agile methodologies Deep familiarity with cloud platforms , especially AWS Ability to adapt to new technologies and solve both product and platform-level challenges in a collaborative team environment Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits: - Company Equity - 27 days paid time off - 12 days of Company Holiday - 5 days paid volunteering leave - Group Mediclaim (GMC) - Enhanced parental leave policies - MacBook Pro - Access to various tools to aid your career development More about Matillion Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. About The Position Senior Engineer – Agentic AI: Join Boston Scientific at the forefront of innovation as we embrace AI to transform healthcare and deliver cutting-edge solutions. As a Senior Engineer – Agentic AI, you will architect and deliver autonomous, goal-driven agents powered by large language models (LLMs) and multi-agent frameworks. Key Responsibilities Design and implement agentic AI systems leveraging LLMs for reasoning, multi-step planning, and tool execution. Evaluate and build upon multi-agent frameworks such as LangGraph, AutoGen, and CrewAI to coordinate distributed problem-solving agents. Develop context-handling, memory, and API-integration layers enabling agents to interact reliably with internal services and third-party tools. Create feedback-loop and evaluation pipelines (LangSmith, RAGAS, custom metrics) that measure factual grounding, safety, and latency. Own backend services that scale agent workloads, optimize GPU / accelerator utilization, and enforce cost governance. Embed observability, drift monitoring, and alignment guardrails throughout the agent lifecycle. Collaborate with research, product, and security teams to translate emerging agentic patterns into production-ready capabilities. Mentor engineers on prompt engineering, tool-use chains, and best practices for agent deployment in regulated environments. Required 8+ years of software engineering experience, including 3+ years building AI/ML or NLP systems. Expertise in Python and modern LLM APIs (OpenAI, Anthropic, etc.), plus agentic orchestration frameworks (LangGraph, AutoGen, CrewAI, LangChain, LlamaIndex). Proven delivery of agentic systems or LLM-powered applications that invoke external APIs or tools. Deep knowledge of vector databases (Azure AI Search, Weaviate, Pinecone, FAISS, pgvector) and Retrieval-Augmented Generation (RAG) pipelines. Hands-on experience with LLMOps: CI/CD for fine-tuning, model versioning, performance monitoring, and drift detection. Strong background in cloud-native micro-services, security, and observability. Requisition ID: 610421 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

Title: Senior AI Developer Years of Experience 8+ years Location: The selected candidate is required to work onsite for the initial 1 to 3-month project training and execution period at either our Kovilpatti or Chennai location, which will be confirmed during the onboarding process. After the initial period, remote work opportunities will be offered. Job Description: The Senior AI Developer will be responsible for designing, building, training, and deploying advanced artificial intelligence and machine learning models to solve complex business challenges across industries. This role demands a strategic thinker and hands-on practitioner who can work at the intersection of data science, software engineering, and innovation. The candidate will contribute to scalable production-grade AI pipelines and mentor junior AI engineers within the Center of Excellence (CoE). Key responsibilities · Design, train, and fine-tune deep learning models (NLP, CV, LLMs, GANs) for high-value applications · Architect AI model pipelines and implement scalable inference engines in cloud-native environments · Collaborate with data scientists, engineers, and solution architects to productionize ML prototypes · Evaluate and integrate pre-trained models like GPT-4o, Gemini, Claude, and fine-tune based on domain needs · Optimize algorithms for real-time performance, efficiency, and fairness · Write modular, maintainable code and perform rigorous unit testing and validation · Contribute to AI codebase management, CI/CD, and automated retraining infrastructure · Research emerging AI trends and propose innovative applications aligned with business objectives Technical Skills · Expert in Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers · LLM deployment & tuning: OpenAI (GPT), Google Gemini, Claude, Falcon, Mistral · Experience with RESTful APIs, Flask/FastAPI for AI service exposure · Proficient in Azure Machine Learning, Databricks, MLflow, Docker, Kubernetes · Hands-on experience with vector databases, prompt engineering, and retrieval-augmented generation (RAG) · Knowledge of Responsible AI frameworks (bias detection, fairness, explain ability) Qualification · Master’s in Artificial Intelligence, Machine Learning, Data Science, or Computer Engineering · Certifications in AI/ML (e.g., Microsoft Azure AI Engineer, Google Professional ML Engineer) preferred · Demonstrated success in building scalable AI applications in production environments · Publications or contributions to open-source AI/ML projects are a plus

A. Company Overview Founded in 2012, Occams Advisory is a leading business solutions, professional services and financial advisory provider specializing in growth, financing, and taxation. Serving as a trusted advisor throughout the business lifecycle, Occams combines Fortune 500 expertise, entrepreneurial insights, and a global perspective to deliver world-class solutions. Occams has achieved remarkable recognition for its rapid growth, securing 8 spots on Inc. magazine’s Fastest Growing 5000 Private Companies list, 4 consecutive rankings on the Financial Times Fastest Growing 500 Companies in the Americas. In 2023, Occams was honored on Fortune’s inaugural list of the 300 Most Innovative Companies. Operating across all U.S. states and territories, Occams boasts a team of over 100 professionals based in major cities worldwide, including New York, Los Angeles, Toronto, Delhi and Mumbai. Its leadership includes alumni from Fortune 500 companies such as Barclays, UBS, and Merrill Lynch, and prestigious academic institutions like NYU, Duke University, and London Business School. Recognized as a leader in professional services, Occams delivers transformative growth and advisory solutions to clients. B. About Your Role We are looking for a AI Software Engineer to join our AI Initiative. In this role, you will drive the development of AI-powered solutions, generative AI, and AI business solutions to create impactful applications. This position is for someone who lives and breathes AI, LLMs, and APIs—whose language is defined by tokens, embeddings, and temperature settings. It demands an AI specialist who has been immersed in AI from its inception, deeply understands its evolution, and is always at the cutting edge of LLMs, AI Business use cases, and generative models. You will be responsible for end-to-end AI model execution, from conceptualization and training to optimization and deployment, ensuring that our AI-driven solutions are not just innovative but also scalable and impactful. If your thought process revolves around prompt engineering, parameter tuning, and the evolution of AI architectures, you might be the perfect fit. The ideal candidate is proactive, analytical, and detail-oriented—someone who takes initiative, embraces challenges, and is eager to contribute to a culture of excellence and impact. C. Key Responsibilities Develop LLM-Powered Business Solutions: Design, build, and deploy robust applications that leverage LLM frameworks such as OpenAI and Langchain to address business-specific use cases. Implement Retrieval-Augmented Generation (RAG) Pipelines: Develop and maintain scalable RAG systems—including integration with vector databases (e.g., Qdrant) and memory modules—to improve the accuracy and relevance of responses. Advanced Prompt Engineering: Apply advanced prompt engineering techniques to optimize user interactions and generate precise responses, ensuring that the application meets business needs. API and Microservices Development: Create and secure RESTful APIs and microservices for seamless integration of LLM functionalities into existing systems, with a focus on data security and compliance. Cloud Architecture Integration: Work with cloud services (e.g., AWS Lambda, S3, CloudFormation) to ensure the LLM applications are highly scalable, resilient, and cost-effective. Collaboration with Cross-Functional Teams: Partner with product managers, designers, and other stakeholders to translate business requirements into technical solutions, iteratively refining applications based on feedback. Performance Optimization and Quality Assurance: Monitor, troubleshoot, and continuously optimize applications for performance, ensuring high-quality, business-aligned outputs and maintaining rigorous guardrails. D. Required Qualifications & Experience Education: Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field; relevant certifications are a plus. Experience: 2+ years of experience with OpenAI, Gemini, Lambda, Llama, Langchain integration into business uses cases. Essential Technical Skills: Proficiency in node.js and experience with AI frameworks such as TensorFlow, PyTorch, and LangChain . Expertise in LLMs, transformers, embeddings, and generative AI . Strong understanding of AI model optimization, fine-tuning, and deployment . Experience with API development and integrating AI models into production environments . Knowledge of cloud platforms such as OpenAI, AWS, Azure, or Google Cloud for AI deployment. Ability to process and work with large datasets for AI training and development. Preferred Skills: Experience with OpenAI’s GPT models and similar architectures. Strong problem-solving skills and ability to collaborate with cross-functional teams. E. Benefits & Perks Health Insurance for you and your dependents including parents Provident Fund 3 % Fixed CTC Budget for Learning Opportunities Market Leading Leave Policy Paid Holidays per Calendar Year Employee Recognition & Rewards One of the best cultures of benevolent meritocracy F. Job Details Title: Sr. Software Engineer (AI) Annual Compensation: 12 – 13 LPA Work Schedule: Office Nature: Full time Shift: 3:00 PM to 12:00 AM IST Location: Delhi, India/ Dehradun, Uttarakhand

Role & responsibilities: Design, develop, and optimize OpenAI-powered applications, including multi-agent frameworks, chatbots, and AI-based customer support systems. Leverage agentic technologies (e.g., Autogen framework) to implement AI agents capable of collaborating and completing complex tasks autonomously. Build and maintain backend services using Python or .NET to support OpenAI integrations. Work with custom datasets, applying techniques such as chunking, embedding, and vector search for model fine-tuning and retrieval-augmented generation (RAG). Integrate Azure Cognitive Services (e.g., Text Analytics, Translator, Form Recognizer) to enhance functionality and intelligence of AI solutions. Ensure scalable and secure deployment of AI solutions on Azure, using services like Azure Functions, Azure App Service, and Azure Kubernetes Service (AKS). Regularly evaluate and fine-tune GPT models to ensure high performance and relevance. Collaborate with cross-functional teams, including product, design, and QA, to ensure seamless development and deployment pipelines. Stay up to date with advancements in OpenAI, Azure AI, and agent-based technologies, and proactively contribute innovative ideas. Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or related field. Proficient in Python for backend and AI integration development. Strong experience with OpenAI GPT models and their practical applications. Experience with agentic technologies (e.g., Autogen, LangGraph, CrewAI) for multi-agent systems. Familiarity with Microsoft Azure Cognitive Services and Azure AI Studio. Solid grasp of machine learning fundamentals, including training, fine-tuning, and evaluating language models. Practical knowledge of Natural Language Processing (NLP) techniques. Hands-on experience with CI/CD tools such as Google Cloud Build, Jenkins, GitHub Actions, or Azure DevOps. Ability to work collaboratively in an agile, team-oriented environment under tight deadlines. Excellent problem-solving, debugging, and analytical skills. Desirable Skills: Masters degree or higher in AI, ML, or a related technical field. Prior experience in chatbot development for customer service or enterprise use cases. Certification(s) in Microsoft Azure, OpenAI, or machine learning technologies. Experience deploying and managing OpenAI solutions in Azure environments. Familiarity with RAG architectures, Azure AI Search, and blob storage indexing. Knowledge of Copilot Studio, Power Platform AI builder, or Conversational AI tools.

We are hiring an experienced AI Engineer / ML Specialist with deep expertise in Large Language Models (LLMs), who can fine-tune, customize, and integrate state-of-the-art models like OpenAI GPT, Claude, LLaMA, Mistral, and Gemini into real-world business applications. The ideal candidate should have hands-on experience with foundation model customization, prompt engineering, retrieval-augmented generation (RAG), and deployment of AI assistants using public cloud AI platforms like Azure OpenAI, Amazon Bedrock, Google Vertex AI, or Anthropics Claude. Key Responsibilities: LLM Customization & Fine-Tuning Fine-tune popular open-source LLMs (e.g., LLaMA, Mistral, Falcon, Mixtral) using business/domain-specific data. Customize foundation models via instruction tuning, parameter-efficient fine-tuning (LoRA, QLoRA, PEFT), or prompt tuning. Evaluate and optimize the performance, factual accuracy, and tone of LLM responses. AI Assistant Development Build and integrate AI assistants/chatbots for internal tools or customer-facing applications. Design and implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Haystack, or OpenAI Assistants API. Use embedding models, vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB), and cloud AI services. Must have experience of finetuning, and maintaining microservices or LLM driven databases. Cloud Integration Deploy and manage LLM-based solutions on AWS Bedrock, Azure OpenAI, Google Vertex AI, Anthropic Claude, or OpenAI API. Optimize API usage, performance, latency, and cost. Secure integrations with identity/auth systems (OAuth2, API keys) and logging/monitoring. Evaluation, Guardrails & Compliance Implement guardrails, content moderation, and RLHF techniques to ensure safe and useful outputs. Benchmark models using human evaluation and standard metrics (e.g., BLEU, ROUGE, perplexity). Ensure compliance with privacy, IP, and data governance requirements. Collaboration & Documentation Work closely with product, engineering, and data teams to scope and build AI-based solutions. Document custom model behaviors, API usage patterns, prompts, and datasets. Stay up-to-date with the latest LLM research and tooling advancements. Required Skills & Qualifications: Bachelors or Masters in Computer Science, AI/ML, Data Science, or related fields. 3-6+ years of experience in AI/ML, with a focus on LLMs, NLP, and GenAI systems. Strong Python programming skills and experience with Hugging Face Transformers, LangChain, LlamaIndex. Hands-on with LLM APIs from OpenAI, Azure, AWS Bedrock, Google Vertex AI, Claude, Cohere, etc. Knowledge of PEFT techniques like LoRA, QLoRA, Prompt Tuning, Adapters. Familiarity with vector databases and document embedding pipelines. Experience deploying LLM-based apps using FastAPI, Flask, Docker, and cloud services. Preferred Skills: Experience with open-source LLMs: Mistral, LLaMA, GPT-J, Falcon, Vicuna, etc. Knowledge of AutoGPT, CrewAI, Agentic workflows, or multi-agent LLM orchestration. Experience with multi-turn conversation modeling, dialogue state tracking. Understanding of model quantization, distillation, or fine-tuning in low-resource environments. Familiarity with ethical AI practices, hallucination mitigation, and user alignment. Tools & Technologies: Category Tools & Platforms LLM Frameworks Hugging Face, Transformers, PEFT, LangChain, LlamaIndex, Haystack LLMs & APIs OpenAI (GPT-4, GPT-3.5), Claude, Mistral, LLaMA, Cohere, Gemini, Azure OpenAI Vector Databases FAISS, Pinecone, Weaviate, ChromaDB Serving & DevOps Docker, FastAPI, Flask, GitHub Actions, Kubernetes Deployment Platforms AWS Bedrock, Azure ML, GCP Vertex AI, Lambda, Streamlit Monitoring Prometheus, MLflow, Langfuse, Weights & Biases

About the Role We’re hiring a Full Stack Intern to join our early-stage AI product team. You’ll work closely on a live product, building and shipping real features that impact users. We’re looking for someone who’s hungry to learn, ship fast, and grow into a core role. Responsibilities Build a mobile-first web app interface Work with React or Next.js Integrate third-party APIs (e.g., OpenAI, Firebase) Implement file upload and basic admin dashboards Setup OTP login (Firebase) and user access Must-Have Skills React.js / Next.js Firebase or Supabase API integration (REST APIs) Git/GitHub Strong problem-solving mindset Good to Have Knowledge of LangChain, Pinecone, or WhatsApp API Previous work on AI/chatbot tools Deployed real-world projects (not just coursework) Who You Are Final-year CS/IT student or recent graduate Based in or willing to collaborate in Bangalore Passionate about building from scratch Self-driven with strong ownership mindset Why Join Direct access to real product-building Hands-on learning with fast execution cycles Path to join core tech team / future leadership role Mentorship + product thinking experience Job Types: Full-time, Part-time, Fresher Pay: ₹1,031,780.93 - ₹1,637,191.75 per year Expected hours: 24 per week Benefits: Flexible schedule Location: Bengaluru, Karnataka (Preferred) Work Location: In person

We’re building an Agentic AI Platform that lets enterprises solve real business problems using Agentic AI workflows. From utility operations to legal document review; our mission is to let AI agents think, act, and deliver; fast, secure and locally. We’re looking for an Agentic AI Engineer who’s hungry to learn and ship. If you’re ready to build with cutting-edge frameworks like Lang Chain, CrewAI, Lang Graph, Google ADK and more and can translate real enterprise problems into intelligent multi-agent workflows, this role is for you. What You’ll Do Build and deploy AI agents using open-source agentic frameworks Explore and integrate models from OpenAI, Mistral, Gemini, Llama, Claude, etc. Use tools like Retrieval-Augmented Generation (RAG), knowledge graphs, and vector stores Work with product managers and domain experts to solve real problems (not just prototypes) Continuously test and refine agent behavior across different enterprise domains (utilities, legal, marketing, supply chain) Actively contribute to evolving our proprietary DataInsightAI platform Must-Have Skills At least 1+ years of hands-on experience implementing a enterprise level Gen AI project that has gone live. Strong Python skills (Async, FastAPI, LangChain/CrewAI or similar) Experience working with LLMs (OpenAI, Llama, Claude, Gemini, etc.) Familiar with agentic AI workflows, prompt chaining, and tool use Understanding of RAG, vector databases (like FAISS, Qdrant, Weaviate) Curiosity-driven mindset, fast learner, hands-on coder Ability to simplify complex problems and build MVPs fast Nice to Have Worked on multi-agent architectures or fine-tuned LLMs Used graph databases (Neo4j) or custom knowledge stores Experience deploying on Azure/AWS/GCP Familiarity with LangGraph or Google ADK Why Join Us? Work on cutting-edge agentic AI every day Be part of a lean team with real ownership Ship fast and solve real enterprise challenges Backed by InTimeTec, with a strong AI/ML engineering culture

We are seeking a Technical Architect with strong experience in designing, building, and leading enterprise-grade solutions across the Microsoft ecosystem. The ideal candidate will have deep expertise in Microsoft 365, Azure cloud services, and modern AI-powered applications. This role demands both strategic solutioning and hands-on leadership, guiding cross-functional teams to deliver scalable and secure solutions. Key Responsibilities: Architect and lead the development of enterprise applications leveraging Microsoft 365 (SharePoint, Power Platform, Teams), .NET and Azure services Design end-to-end solutions, ensuring alignment with business goals, security standards, and scalability Build and implement AI/ML-enabled features, such as chatbots, intelligent search, or document processing, using Azure OpenAI, Open Source Models, Cognitive Services, and Semantic Search Guide and mentor development teams, providing architectural oversight and code reviews Collaborate with cross-functional stakeholders to define solution roadmaps and delivery plans Own and manage technical documentation, DevOps pipelines, and deployment strategies Stay updated with Microsoft technology stack, release cycles, and recommend adoption strategies Required Skills & Experience: 8–10 years of IT experience with at least 4+ years in architecture/design roles Proven experience with Microsoft 365 (SharePoint Online, Power Platform, Teams Apps) Strong hands-on skills with Azure (App Services, Functions, Logic Apps, Key Vault, etc.) Experience building solutions using Azure OpenAI, Custom Models, AI Builder, Azure Cognitive Services, or similar Proficiency in modern front-end technologies like React (especially for SPFx and Teams Apps) Strong knowledge of PnP Framework, REST APIs, Graph API, and PowerShell scripting Understanding of governance, compliance, security, and performance aspects of cloud solutions Strong communication, leadership, and stakeholder engagement skills Good to Have: Microsoft certifications (e.g., Azure Solutions Architect, M365 Developer Associate, Power Platform Solution Architect) Experience in data-driven applications, RAG architecture, or enterprise AI implementations Exposure to Agile delivery models, DevOps, and CI/CD in Azure

Fynd is India’s largest omnichannel platform and a multi-platform tech company specializing in retail technology and products in AI, ML, big data, image editing, and the learning space. It provides a unified platform for businesses to seamlessly manage online and offline sales, store operations, inventory, and customer engagement. Serving over 2,300 brands, Fynd is at the forefront of retail technology, transforming customer experiences and business processes across various industries. About The Role We are hiring a Product Growth Manager to lead initiatives at the intersection of retail, AI, and product execution. This role requires someone who can conceptualize and build AI-native features, scale them effectively, and drive adoption through experimentation, data insights, and structured execution. You will work closely with engineering, machine learning, product, and business teams to deliver AI-powered capabilities that solve real-world retail challenges. The ideal candidate has strong technical foundations, sharp product instincts, and a proven ability to operate with speed and ownership in high-growth environments. What will you do at Fynd? Build and launch AI-native product features in collaboration with ML and engineering teams. Drive product-led growth initiatives focused on activation, retention, and adoption. Translate AI/ML capabilities into scalable and intuitive product experiences. Work hands-on with model deployments, inference systems, and API integrations. Own end-to-end product execution—from problem discovery to roadmap delivery and post-launch iteration. Contribute to platform strategies that scale AI features from MVPs to production-grade adoption. Understand and influence product flows specific to retail, catalog systems, and commerce automation. Some Specific Requirements AI and Technical Foundations Strong grasp of LLMs, embeddings, vector databases, RAG, and fine-tuning methods like LoRA and QLoRA. Hands-on experience with OpenAI, Hugging Face, LangChain, LlamaIndex, and production-grade AI tooling. Familiar with AI workflows using FastAPI, Docker, MLflow, and model serving via Ray or TorchServe. Comfortable working with GitHub, Git, and tools for managing models, code, and experiments. Good understanding of microservices, API design (REST/GraphQL), and scalable backend systems. Experienced in CI/CD setup for training and deploying ML models to production. Data and Analytics Proficient in SQL, BigQuery, and Looker Studio for data exploration and dashboards. Able to design KPIs, success metrics, and user journey insights for product analytics. Knowledge of tools like dbt, Airflow, and event-based platforms like PostHog or Mixpanel. Experience with A/B testing, funnel analysis, and behavioral cohort tracking. Retail and Product Execution Solid understanding of retail workflows, product catalogs, and commerce ecosystems. Experience building and scaling digital products with real-world user adoption. Strong product judgment and ability to balance business, user, and technical priorities. Stakeholder Management and Execution Leadership Ability to lead and influence cross-functional teams to drive high-quality execution. Strong communication skills to present AI-driven concepts to both technical and non-technical audiences. Experience with Agile methodologies and tools such as Jira, Confluence, and Asana for planning and tracking. Preferred Experience 2 to 5 years in product, growth, or AI-focused roles. Experience in building and scaling AI-powered or technology-driven platforms. Exposure to retail, e-commerce, or SaaS environments. Track record of delivering outcomes in fast-paced, cross-functional teams. Why Join Us Be part of a team shaping the future of AI-native platforms in digital commerce. Work closely with leading AI engineers, product teams, and business stakeholders. Own and execute high-impact initiatives with autonomy and accountability. Operate in a culture that values speed, clarity, and innovation. If you're someone who thrives on execution, loves solving complex problems, and wants to build the future of AI-native platforms, we’d love to have you on board Growth Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially. Flex University We help you upskill by organising in-house courses on important subjects Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you. Culture Community and Team building activities Host weekly, quarterly and annual events/parties. Wellness Mediclaim policy for you + parents + spouse + kids Experienced therapist for better mental health, improve productivity & work-life balance We work from the office 5 days a week to promote collaboration and teamwork. Join us to make an impact in an engaging, in-person environment

Conversion Developer JD Job Title: Conversion Developer Overview We are seeking a skilled Conversion Developer to support our customer data migration efforts. This role involves building and executing tools to extract, transform, and import data and documents from legacy systems into our platform. The ideal candidate has strong experience with C#/.NET, SQL Server, and Visual Basic, and is comfortable working with various data formats. Experience using AI tools for data extraction and conversion is a plus. Key Responsibilities Analyze customer-provided data and document formats to determine conversion requirements. Develop and maintain tools in C#/.NET and Visual Basic to process and reformat data for import into our system. Perform data transformations targeting our MSSQL database (hosted in Azure). Support and enhance legacy Visual Basic-based conversion tools as needed. Ensure accuracy and completeness of converted data, with thorough testing and validation. Collaborate with our internal teams to understand data structures and business rules. Automate recurring conversion processes where possible. Leverage AI-based tools (e.g., OCR, data mapping, extraction) when applicable to improve efficiency. Required Skills Proficient in C# and .NET (Core or Framework). Strong experience with Visual Basic (VB.NET or classic VB) for maintaining legacy tools. Solid skills with SQL Server and writing efficient queries/stored procedures. Comfortable working with various data types and formats (CSV, Excel, XML, JSON, PDFs, etc.). Understanding of data transformation and ETL concepts. Able to work independently, communicate clearly, and meet deadlines. Preferred Skills Experience with Azure-hosted services (especially Azure SQL Database). Prior Experience with AI/ML tools for data extraction (e.g., Azure Cognitive Services, OpenAI APIs). Prior experience supporting system migrations or customer onboarding projects.

Job Title: Business Analyst Lead – Generative AI Experience: 7–15 Years Location: Bangalore Designation Level: Lead Role Overview: We are looking for a Business Analyst Lead with a strong grounding in Generative AI to bridge the gap between innovation and business value. In this role, you'll drive adoption of GenAI tools (LLMs, RAG systems, AI agents) across enterprise functions, aligning cutting-edge capabilities with practical, measurable outcomes. Key Responsibilities: 1. GenAI Strategy & Opportunity Identification Collaborate with cross-functional stakeholders to identify high-impact Generative AI use cases (e.g., AI-powered chatbots, content generation, document summarization, synthetic data). Lead cost-benefit analyses (e.g., fine-tuning open-source models vs. adopting commercial LLMs like GPT-4 Enterprise). Evaluate ROI and adoption feasibility across departments. 2. Requirements Engineering for GenAI Projects Define and document both functional and non-functional requirements tailored to GenAI systems: Accuracy thresholds (e.g., hallucination rate under 5%) Ethical guardrails (e.g., PII redaction, bias mitigation) Latency SLAs (e.g., <2 seconds response time) Develop prompt engineering guidelines, testing protocols, and iteration workflows. 3. Stakeholder Collaboration & Communication Translate technical GenAI concepts into business-friendly language. Manage expectations on probabilistic outputs and incorporate validation workflows (e.g., human-in-the-loop review). Use storytelling and outcome-driven communication (e.g., “Automated claims triage reduced handling time by 40%.”) 4. Business Analysis & Process Modeling Create advanced user story maps for multi-agent workflows (AutoGen, CrewAI). Model current and future business processes using BPMN to reflect human-AI collaboration. 5. Tools & Technical Proficiency Hands-on experience with LangChain, LlamaIndex for LLM integration. Knowledge of vector databases, RAG architectures, LoRA-based fine-tuning. Experience using Azure OpenAI Studio, Google Vertex AI, Hugging Face. Data validation using SQL and Python; exposure to synthetic data generation tools (e.g., Gretel, Mostly AI). 6. Governance & Performance Monitoring Define KPIs for GenAI performance: Token cost per interaction User trust scores Automation rate and model drift tracking Support regulatory compliance with audit trails and documentation aligned with EU AI Act and other industry standards. Required Skills & Experience: 7–10 years of experience in business analysis or product ownership, with recent focus on Generative AI or applied ML. Strong understanding of the GenAI ecosystem and solution lifecycle from ideation to deployment. Experience working closely with data science, engineering, product, and compliance teams. Excellent communication and stakeholder management skills, with a focus on enterprise environments. Preferred Qualifications: Certification in Business Analysis (CBAP/PMI-PBA) or AI/ML (e.g., Coursera/Stanford/DeepLearning.ai) Familiarity with compliance and AI regulations (GDPR, EU AI Act). Experience in BFSI, healthcare, telecom, or other regulated industries.

Job description About Us : Auxiliobits is a leader in delivering cutting-edge automation solutions. We’re seeking a dynamic Senior UiPath RPA Developer with expertise in Python, LLMs (Large Language Models) integration on Azure or AWS, and custom development in .NET/C#. Key Responsibilities : Design, develop, and deploy advanced RPA workflows using UiPath. Integrate LLMs (e.g., OpenAI, Azure OpenAI Service) into automation processes. Build custom UiPath components and activities using .NET C#. Utilize Python for advanced data processing, AI model interaction, and scripting. Collaborate with architects to design scalable, high-performance solutions. Interface with cloud platforms like Azure and AWS for AI/ML model deployment. Implement best practices in development, debugging, and documentation. Work in agile teams, ensuring timely delivery of automation projects. Qualifications : Experience : 5+ years in UiPath RPA development with a strong focus on complex automation. Skills : Proficient in .NET C# for custom activity creation. Hands-on experience with Python for automation and AI integration. Expertise in deploying and interfacing with LLMs on Azure or AWS. Knowledge of cloud architecture and services. Strong understanding of RPA architecture and agile methodologies. UiPath Advanced Developer Certification is preferred. Why Join Us : Work on cutting-edge AI and automation projects. Be part of a collaborative and innovative team. Competitive compensation and growth opportunities. If you’re passionate about automation, AI, and delivering impactful solutions, we’d love to hear from you! Job Type: Full-time Pay: ₹500,000.00 - ₹1,500,000.00 per year Benefits: Food provided Life insurance Provident Fund Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) software development: 1 year (Preferred) HTML5: 1 year (Preferred) Work Location: In person

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role: We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it. We are seeking a passionate and skilled senior GenAI Application Developer to join our growing Enterprise AI team. In this role, you will be responsible for designing, developing, and deploying intelligent applications that leverage Generative AI capabilities to solve real-world business problems. You will work closely with our Data Scientists, ML Engineers, and other Cross-functional teams to build scalable, secure, and user-centric solutions, with the opportunity to work on cutting-edge AI technologies. Responsibilities Design and develop applications that integrate Generative AI models such as OpenAI, Gemini, Claude LLMs, into enterprise workflows. Build APIs, microservices, and user interfaces that enable seamless interaction with GenAI-powered features. Collaborate with data scientists, product managers, and UX designers to translate business needs into technical solutions. Deploy Agentic AI workflows and use cases by leveraging frameworks and tools such as LangChain, LangGraph, LlamaIndex, Notion, or similar. Implement prompt engineering, retrieval-augmented generation (RAG), and model evaluation strategies. Ensure application performance, scalability, and security across cloud and on-prem environments. (Optional) Develop and integrate GenAI capabilities within the ServiceNow platform, including Virtual Agents, Flow Designer, and custom applications. Maintain documentation, conduct code reviews, and contribute to best practices in GenAI application development. Qualifications To be successful in this role you have: 5+ years of related experience with a Bachelor's degree, Master’s degree or PhD or equivalent work experience. 5+ years of experience working with a programming language (JavaScript, Python, Java, etc.) Experience with RESTful APIs, cloud platforms (Azure, AWS, GCP), and containerisation (Docker, Kubernetes) Experience integrating microservices, using SDKs for enhancing platform capabilities, building cloud native applications on Azure/Databricks. 2+ years of experience implementing generative AI models/services in enterprise workflow applications Hands-on experience with GenAI and AI Agents frameworks (e.g., LangChain, LlamaIndex, Langgraph, Autogen ) Understanding of prompt engineering, vector databases (e.g., FAISS, Pinecone), and RAG pipelines. Strong communication and collaboration skills Experience with ServiceNow Application development (e.g., App Engine Studio, Virtual Agent Designer), is a plus Experience with Agentic AI framework or NASK framework in Servicenow AI platform, is a plus Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Overview of the role: The Sisal AI & Automation group is looking for a motivated and versatile expert to develop and operationalize next-generation Agentic AI systems across our business. As a Senior Generative AI Engineer , you will play a critical role in shaping the software development lifecycle (SDLC) of AI products—guiding them from concept to production deployment—while also mentoring junior team members and managing multiple concurrent initiatives. You’ll be joining an industry-leading team and building transformative AI solutions that drive real-world impact across Sisal’s portfolio, including Sports Betting, Gaming, and other domains. This hybrid role combines remote work flexibility with collaboration in our modern offices in Hyderabad , India. What you will do: Across areas such as Sports Betting, Gaming, and other Sisal products, you will lead the development of Advanced Agentic AI systems . You shall have the opportunity to architect and implement Generative AI to streamline Sisal AI solutions, own the end-to-end SDLC for AI initiatives and set Generative AI standard together with the Data Science group. You will manage and prioritize multiple AI/ML projects simultaneously, driving the company's strategic edge by transforming raw data into actionable insights in this dynamic and thrilling environment. What you will need A Master’s degree in a STEM field with 4 to 6 years of experience as an AI/ML Engineer. Strong Python programming skills and a solid understanding of databases and data pipelines. Demonstrated success in delivering production-grade AI/ML solutions , with hands-on involvement throughout the full SDLC. Proven experience working with Generative AI tools and frameworks (e.g., OpenAI, Hugging Face, Anthropic). Hands-on experience building Retrieval-Augmented Generation (RAG) systems using vector databases. Exposure to cloud-based machine learning environments and MLOps tooling. Experience mentoring junior team members and leading small technical groups is highly valued. Ability to juggle multiple parallel projects , prioritize effectively, and manage time across shifting business demands. Excellent communication skills, with the ability to explain technical concepts clearly and persuasively to non-technical stakeholders. Highly desirable skills: Experience in developing LLM-based applications and LLM-Ops, leveraging them to tackle business problems is desirable. Exposure to Azure tools include Azure OpenAI Ecosystem. Publications on international journals are a big plus It is ok if you do not think you tick every box on this list! We love people who want to challenge themselves and are passionate about what they do. If you believe you can contribute in some areas and are eager to learn, we encourage you to apply!! Aside from a generous base salary, we have a phenomenal benefits and rewards program that is designed to encourage personal and career development. This package includes: Discretionary annual performance bonus 30 days paid leave Health Insurance for you and your partner, children, and parents or parents-in-law (up to 5 dependents) A personal interest allowance to let you learn something new or pursue a hobby Looking to extend your family? You will receive a cash gift of 34,000 INR for your new addition whilst working for us 26 weeks primary carer leave, and 4 weeks secondary carer leave External learning support of up to £1,000 or equivalent in local currency, dedicated 4 learning “Power Hours” every month during office time, full access to the Udemy and Mindtools platforms, in-house leadership program and many other training opportunities for developing your skills and progressing your career.

Job Title: AI/ML Engineer – FastAPI, FAISS & Vector Databases Location: Gurgaon (On-site) Job Type: Full-Time Job Overview: We’re hiring an AI/ML Engineer who can build scalable and intelligent systems using FastAPI , FAISS , and vector search technologies . If you’re passionate about retrieval-augmented generation (RAG), semantic search, and deploying real-world ML pipelines, we’d love to meet you! Key Responsibilities: Build, optimize, and maintain scalable ML APIs using FastAPI Implement and manage vector-based search systems using FAISS , Pinecone , or similar tools Create and serve embeddings using transformer models for semantic search, recommendations, or chatbot systems Design and deploy RAG (retrieval-augmented generation) pipelines using LLMs Work with large unstructured datasets (text, documents, etc.) to extract features and build indexes Collaborate with data scientists and backend engineers to integrate models into production Monitor and improve model performance and API latency in production environments Required Skills: Strong experience with Python and FastAPI Hands-on with FAISS and vector similarity search concepts Familiarity with sentence-transformers , Hugging Face , or OpenAI embeddings Working knowledge of vector databases like FAISS, Weaviate, Pinecone, or Qdrant Experience with NLP pipelines , tokenization , and text preprocessing Comfortable with RESTful APIs, JSON, and basic cloud deployment (e.g., AWS/GCP) Bonus/Good to Have: Experience with LangChain , LLMs , or RAG architecture MLOps practices for model serving and monitoring Exposure to Docker , Kubernetes , Airflow , or CI/CD pipelines Prior experience deploying LLM-based search or Q&A systems Ideal Candidate Profile: 2–4 years of experience in AI/ML engineering or backend roles with ML focus Comfortable building APIs that connect machine learning models to real users Familiar with working in fast-paced, agile environments Curious about LLMs, embeddings, and real-time AI applications Job Type: Full-time Pay: ₹1,200,000.00 - ₹1,500,000.00 per year Work Location: In person Application Deadline: 25/07/2025 Expected Start Date: 01/08/2025

Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Lead Associate – EUC Platform We are seeking candidates with good hands-on experience in macOS support, Agentic systems, and application packaging. A foundational understanding of integrating Generative AI capabilities—such as working with OpenAI APIs and prompt engineering—is highly desirable. The role also requires experience with cloud deployments and a solid working knowledge of device management tools like SCCM or equivalent Responsibilities Design, develop, and implement solutions leveraging Generative AI technologies, including integration of OpenAI APIs into enterprise workflows or applications. Create, test, and optimize prompts for various use cases to ensure accurate and contextually relevant AI responses. Collaborate with cross-functional teams to identify opportunities for AI-driven automation, personalization, or decision support. Monitor API usage, performance, and cost to ensure scalable and efficient implementation of AI features. Stay updated on advancements in large language models (LLMs), prompt engineering techniques, and AI safety best practices. Build reusable prompt libraries and maintain documentation for internal teams and stakeholders. Troubleshoot AI integration issues and provide guidance on fine-tuning responses for business-specific requirements. Thin Clients, MACs, Chrome Books support added advantage. Excellent in customer calls/Meeting/escalation handling & delivery for 24/7 IT operations, able to work on pressure. Good communication Skills Inspect and troubleshoot HTTP request headers, payloads, and responses from OpenAI APIs, addressing issues such as authentication failures, rate limits, timeouts, and malformed inputs. Analyze prompt structures to diagnose inconsistent or irrelevant AI responses, and refine instructions to reduce issues like hallucinations, leakage, or unexpected completions. Investigate and resolve slow API response times or high inference latency caused by model selection or integration bottlenecks; optimize prompt design and leverage batching where applicable. Address issues related to token limit exceedance by implementing prompt truncation or response summarization strategies. Troubleshoot errors caused by exceeded API rate limits or usage quotas, and apply appropriate handling mechanisms. Resolve access issues related to network environments, including firewall restrictions, VPN conflicts, or proxy configurations. Monitor and adapt to changes in OpenAI API versions or deprecated endpoints to ensure integration stability. Investigate potential data privacy risks, unsecured connections, or policy non-compliance in AI integrations. Configure error logging and monitoring systems to capture failed interactions, analyze edge cases, and continuously improve prompt and API performance. Qualifications Minimum Qualifications Bachelor’s degree or certification from an accredited institution in technology good experience or equivalent training Preferred qualifications Technical certification (MS Azure fundamentals) will be added benefit Excellent communication skills and strong customer service skills Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Lead Associate Primary Location India-Gurugram Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 22, 2025, 4:04:38 AM Unposting Date Ongoing Master Skills List Consulting Job Category Full Time

Analytics Posted on Jul 22, 2025 Vadodara-Gujarat Minimum Required Experience : 3 years Full Time Skills Machine Learning TensorFlow Pytorch NLP Description Designation/Role Name Machine Learning Engineer Org Structure Data Science & AI Team Work Schedule According to the business needs Job Description With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI areas (Machine Learning, NLP, Computer Vision) and development of solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to understand data, requirements, design and develop a Machine Learning Model for the requirements. This Job requires the following: Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Experience in predictive analytics and statistical modeling Experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN Essential Qualifications B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred Technical Qualifications (Essential) Hands-on programming experience Hands-on technical design experience Hands-on prompt engineering experience Design and Development of at least 3 Data Science, AI Projects with design and development of Machine Learning models 1 Generative AI Project designed, developed and delivered to production is desirable Primary Skills Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks Good understanding of business and domain of the applications Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms Hands-on experience in design and development of API based applications for AI and Data Science Projects Understanding in GenAI concepts, RAG and Models fine-tuning techniques is desirable Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., Understanding of DevOps pipelines for deployment Good understanding of Data Engineering lifecycle – data pipelines, data warehouse, data lake Secondary Skills Experience using Databricks and Azure Data platform Knowledge of any configuration management tools is desirable Familiarity with containerization and container orchestration services like Docker and Kubernetes Experience 3+ years in Machine Learning Model development in Data Science/AI Projects. Awareness of LLM integrations / development is desirable. Description of Responsibility Understand customer’s requirements (Business, Functional, Non-Functional etc.,), design and develop Machine Learning Models Design and implement Machine Learning Models using major technology and computing platforms (open source and cloud) Possess excellent analytical and problem-solving skills and be able to understand various forms of data, patterns and derive insights. Collaborate internal and external stakeholders for deriving solution that requires cross functional teams and smoother execution of the projects Knowledge of data modeling and understanding of different data structures Experience with design of AI/ML solutions either as standalone or integrated with other applications Experience in Generative AI solutions for the business/automation requirements using open source LLMs (Open AI, LLama, Mistral etc.,) is desirable Sills / Competencies requirement Research Orientation Proactive & Clear Communication Collaboration Solution Orientation Solution Articulation Accountability Adaptability / Flexibility Analytical Skills Listening Skills Customer Service Orientation