3970 Openai Jobs - Page 3

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 7+ years. Deep understanding of Generative AI fundamentals and transformer-based architectures. Strong working experience in Lang Chain, Prompt Engineering and Agentic AI. Expertise in Generative AI and Retrieval-Augmented Generation (RAG). Proficiency in OpenAI APIs/models (GPT-3, GPT-4, Codex). Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow. In-depth knowledge of NLP, deep learning architectures, and ML algorithms. Proficient in Python and experience with AI solution deployment. Experience working with cloud platforms like AWS, Azure, or Google Cloud. Exposure to AI ethics, responsible AI practices, and bias mitigation techniques. Familiarity with GANs, VAEs, and other generative modeling approaches. Excellent problem-solving, analytical thinking, and communication skills. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

As an AI/ML Agent Developer at EXL, you will play a crucial role in designing, developing, and deploying intelligent agents within a multi-agent orchestration framework. Your primary responsibility will be to create autonomous agents that utilize LLMs, reinforcement learning, prompt engineering, and decision-making strategies to handle complex data and workflow tasks. Working closely with cross-functional teams, you will help in implementing AI solutions across various use cases such as annotation, data quality, knowledge graph construction, and enterprise automation. Your key responsibilities will include designing and implementing modular AI agents capable of autonomous decision-making, engineering prompt strategies for task-specific agent workflows, integrating ML models into agent behavior pipelines, contributing to multi-agent orchestration logic, collaborating with different teams for deployment at scale, and monitoring and refining agent performance. To be successful in this role, you are required to have a Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field along with at least 3 years of experience in developing AI/ML systems. You should also possess proficiency in Python and ML libraries, experience with LLM frameworks, a strong grasp of NLP, reinforcement learning, and decision systems, as well as knowledge of cloud environments and CI/CD for AI systems. Preferred skills include familiarity with multi-agent frameworks, experience in building autonomous AI applications for data governance, annotation, or knowledge extraction, background in human-in-the-loop systems, and understanding of vector databases and semantic search. By joining our team, you will have the opportunity to work at the forefront of AI orchestration and intelligent agents, collaborate with a high-performing team driving innovation in enterprise AI platforms, and shape the future of AI-based automation in real-world domains like healthcare, finance, and unstructured data.,

The Technical Lead for AI/ML plays a critical role in driving the technical direction and execution of artificial intelligence and machine learning projects within the organization. This position combines strong technical expertise in AI/ML with leadership skills to guide a team of engineers and data scientists in developing innovative AI/ML solutions. You will collaborate closely with cross-functional teams to translate business requirements into technical designs and drive the successful implementation, testing and deployment of AI/ML models and systems. Responsibilities 1. AI/ML Model Training and Development Lead the development of new AI Models from scratch and fine-tuning existing base models with new data. Implement and execute model evaluation experiments to test and pick the best model for a certain task. Build high throughput and automated data pipelines to allow Data analysis and model training. Lead feature engineering to select the most relevant features in datasets to train models on. Pick the right set of evaluation metrics to test model candidates for deployment. Use MLOps principles to allow continuous model tuning and performance improvements. 2. AI/ML Model Deployment Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance. Implement best practices for model versioning, monitoring, and maintenance to ensure ongoing model accuracy and effectiveness. Collaborate with DevOps and infrastructure teams to integrate AI/ML components into CI/CD pipelines and automated deployment processes. Implement CI/CD practices for AI/ML development, including automated testing, code review processes, and continuous integration pipelines. Automate deployment processes for AI/ML models using tools such as Jenkins, GitLab CI/CD, or similar platforms. 3. Technology Expertise Demonstrate deep expertise in AI/ML technologies, including TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Stay current with advancements in AI/ML research and technologies, evaluating their applicability to the organization's needs and projects. 4. Architecture and Design Design and implement architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Collaborate with data engineers to ensure the availability, quality, and reliability of data sources for AI/ML model training and deployment. 5. Python Development Utilize Python programming for AI/ML model development, automation scripts, and development of supporting tools and utilities. Collaborate with software engineering teams to integrate AI/ML capabilities into software applications and services. Requirements Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field. Extensive experience (5+ years) in AI/ML development, with a focus on deploying models into production environments. Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Experience building architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Hands-on experience with CI/CD practices and tools, with a strong understanding of software development lifecycle processes. Proficiency in Python programming and experience with relevant libraries and frameworks for AI/ML development. Experience of Python Pandas and similar languages is a must. Worked on pre-processing pipelines ensuring security compliances standards are met. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Strong problem-solving abilities and a passion for innovation and continuous improvement in AI/ML deployment practices.,

STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. We are seeking a Senior AI Engineer / Data Engineer to join our engineering team and help build the future of AI-powered business solutions. In this role, you&aposll be developing intelligent systems that leverage advanced large language models (LLMs), real-time AI interactions, and cutting-edge retrieval architectures. Your work will directly contribute to products that are reshaping how businesses operate-particularly in recruitment, data extraction, and intelligent decision-making. This is an exciting opportunity for someone who thrives in building production-grade AI systems and working across the full stack of modern AI technologies. Responsibilities Design, build, and optimize AI-powered systems using multi-modal architectures (text, voice, visual). Integrate and deploy LLM APIs from providers such as OpenAI, Anthropic, and AWS Bedrock. Build and maintain RAG (Retrieval-Augmented Generation) systems with hybrid search, re-ranking, and knowledge graphs. Develop real-time AI features using streaming analytics and voice interaction tools (e.g., ElevenLabs). Build APIs and pipelines using FastAPI or similar frameworks to support AI workflows. Process and analyze unstructured documents with layout and semantic understanding. Implement predictive models that power intelligent business recommendations. Deploy and maintain scalable solutions using AWS services (EC2, S3, RDS, Lambda, Bedrock, etc.). Use Docker for containerization and manage CI/CD workflows and version control via Git. Debug, monitor, and optimize performance for large-scale data pipelines. Collaborate cross-functionally with product, data, and engineering teams. Qualifications 5+ years of experience in AI/ML or data engineering with Python in production environments. Hands-on experience with LLM APIs and frameworks such as OpenAI, Anthropic, Bedrock, or LangChain. Production experience using vector databases like PGVector, Weaviate, FAISS, or Pinecone. Strong understanding of NLP, document extraction, and text processing. Proficiency in AWS cloud services including Bedrock, EC2, S3, Lambda, and monitoring tools. Experience with FastAPI or similar frameworks for building AI/ML APIs. Familiarity with embedding models, prompt engineering, and RAG systems. Asynchronous programming knowledge for high-throughput pipelines. Experience with Docker, Git workflows, CI/CD pipelines, and testing best practices. Preferred Background in HRTech or ATS integrations (e.g., Greenhouse, Workday, Bullhorn). Experience working with knowledge graphs (e.g., Neo4j) for semantic relationships. Real-time AI systems (e.g., WebRTC, OpenAI Realtime API) and voice AI tools (e.g., ElevenLabs). Advanced Python development skills using design patterns and clean architecture. Large-scale data processing experience (1-2M+ records) with cost optimization techniques for LLMs. Event-driven architecture experience using AWS SQS, SNS, or EventBridge. Hands-on experience with fine-tuning, evaluating, and deploying foundation models. Show more Show less

Were looking for a hands-on, product-minded full-stack developer with a strong interest in AI and automation . This role is ideal for someone who loves to build, experiment, and bring ideas to life fast. You&aposll work closely with the founding team to prototype AI-powered tools and products from scratch.This is a highly AI-focused role where you will build tools powered by LLMs, workflow automation, and real-time data intelligence not just build web apps, but create AI-first products . Location - Kochi, Bangalore | Years of experience - 1-3 Years Hire22. ai connects top talent with executive role s anonymously and confidential ly, transforming hiring through a n AI-first, instant CoNCT mod el. Companies ge t interview-ready candidates in just 22 hours . No telecalling, no spam, no manual filtering. Responsibilities Build and experiment with AI-first features powered by LLMs, embeddings, vector databases, and prompt-based workflows Fine-tune or adapt AI/ML models for specific use cases such as job matching, summarization, scoring, and classification Integrate and orchestrate AI capabilities using tools like Vertex AI, LangChain, Cursor, n8n, Flowise, etc. Work with vector databases and implement retrieval-augmented generation (RAG) patterns to build intelligent, context-aware AI applications. Design, build, and maintain full-stack web applications using Next.js and Python as supporting layers around core AI functionality Rapidly prototype ideas, test hypotheses, and iterate fast based on feedback Collaborate with product, design, and founders to transform internal ideas into deployable, AI-powered tools Building internal AI agents, assistants, or copilots Building tools for automated decision-making, resume/job matching, or workflow automation Skills Full-Stack Proficiency: Strong command of JavaScript/TypeScript with experience in modern frameworks like React or Next.js. Back-end experience with Python (FastAPI), orGo. Database Fluent: Comfortable working with both SQL (MySQL) and NoSQL databases (MongoDB, Redis), with good data modeling instincts. AI/ML First Mindset: Hands-on with integrating and optimizing AI models using frameworks like OpenAI, Hugging Face, LangChain, or TensorFlow. You understand LLM architecture, prompt engineering, embeddings, and AI orchestration tools. Youve ideally built or experimented with AI-driven applications beyond just using APIs.. Builder Mentality: Passionate about product thinking and going from zero to one. You take ownership, work independently, and execute quickly without waiting for perfect clarity. Problem Solver: You break down complex problems, learn fast, and deliver clean, efficient solutions. You value both speed and quality. Communicator & Collaborator: You express your ideas clearly, ask good questions, and keep teams in sync by sharing progress and blockers openly. Show more Show less

Dear Aspirant! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team. We are looking for: Senior Software Developer – Python , You’ll make an impact by: Write high-quality, testable, and maintainable Python code using object-oriented programming (OOP), SOLID principles, and design patterns. Develop RESTful APIs and backend services for AI/ML model serving using FastAPI. Collaborate with AI/ML engineers to integrate and deploy Machine Learning, Deep Learning, and Generative AI models into production environments. Contribute to software architecture and design discussions to ensure scalable and efficient solutions. Implement CI/CD pipelines and adhere to DevOps best practices for reliable and repeatable deployments. Design for observability, incorporating structured logging, performance monitoring, and alerting mechanisms. Optimize code and system performance, ensuring reliability and robustness at scale. Participate in code reviews, promote clean code practices, and mentor junior developers when needed. Use your skills to move the world forward! Bachelor’s or Master’s degree in Computer Science, IT, or a related field. 5+ years of hands-on experience in software development, with a focus on Python. Deep understanding of OOP concepts, software architecture, and design patterns. Experience with backend web frameworks, preferably FastAPI. Familiarity with integrating ML/DL models into software solutions. Practical experience with CI/CD, containerization (Docker), and version control systems (Git). Exposure to MLOps practices and tools for model deployment and monitoring. Strong collaboration and communication skills in cross-functional engineering teams. Familiarity with cloud platforms like AWS (e.g., Sagemaker, Bedrock) or Azure (e.g., ML Studio, OpenAI Service). Experience in Rust is a strong plus. Experience working on high-performance, scalable backend systems. Exposure to logging/monitoring stacks like Prometheus, Grafana, ELK, or Open Telemetry. Understanding of data engineering concepts, ETL pipelines, and processing large datasets. Background or interest in the Power and Energy domain is a plus. Create a better #TomorrowWithUs! This role is based in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come. We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow. Find out more about Siemens careers at: www.siemens.com/careers Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As an Applied AI ML Associate Sr. at JPMorgan Chase in the Asset and Wealth Management Technology division, you will play a key role as an experienced member of our Data Science Team. Your responsibilities will include addressing business problems through data analysis, developing models, and deploying these models to production environments on AWS or Azure. Job Responsibilities Collaborates with all lines of business and functions to delivery software solutions. Experiments, develops and productionizes high quality machine learning models, services and platforms to make huge technology and business impact. Designs and implements highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience BE/B.Tech, ME/MS or PhD degree in Computer Science, Statistics, Mathematics or Machine learning related field. Solid programming skills with Python Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Experience in using GenAI (OpenAI or other models ) to solve business problem. Knowledge of machine learning frameworks: Tensorflow and Pytorch Experience in training/ inference/ML ops on public cloud (AWS/GCP/Azure) Strong analytical and critical thinking skills. Preferred Qualifications, Capabilities, And Skills Self-motivation, great communication skills and team player Knowledge of Asset and Wealth management business is added advantage . About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

About Signalmash Signalmash is a fast-moving CPaaS company solving complex messaging and voice challenges for modern SaaS platforms. We play where Twilio left off—better support, more transparency, fewer headaches. If you've ever cursed at bad docs, a support bot, or missing call logs, you'll love it here. What You’ll Do You're the Zoho whisperer. You'll own, build, and integrate the entire Zoho One stack into a seamless growth engine for marketing, sales, ops, and support. You’ll make Zoho play nicely with our APIs and tools, and automate everything except lunch. Your Daily Playground Zoho Stack Mastery – CRM, Desk, Forms, Bookings, SalesIQ, Flow, Campaigns, Analytics. Deluge. API & Webhook Integrations – Connect Zoho to internal and external systems. Sales & Marketing Automation – Set up email cadences, CRM logic, enrichment workflows, and funnel optimization. Data Enrichment Tools – Leverage platforms like Apollo, LinkedIn, Clearbit, etc. for contact and company insights. Cold Email & Outreach – Set up, manage, and measure outbound marketing tools with deliverability and compliance in mind. Digital Marketing – Drive integrations for SEO tools, paid media tracking, attribution models, and lead source analytics. AI & Scripting – Build smart triggers, auto-replies, lead scoring, and more using LLMs, custom scripts, and APIs. Workflow Automation – Zapier, Zoho Flow, or raw Python—whatever gets the job done and scales. Documentation & Support – Be the person future-you thanks for writing it all down. What You Bring 4+ years of hardcore Zoho experience (no dabblers, please). Fluency in REST APIs, webhooks, OAuth , and JSON payloads. Proficiency in Python , JavaScript , or equivalent scripting (i.e. Deluge). Experience with date enrichment platforms like LinkedIn, Apollo.io. Hands-on execution of cold email , outbound marketing, and email hygiene best practices. Strong grasp of SEO , Google Ads , meta pixel , attribution, and lead tracking. Solid understanding of LLMs/AI tools , prompt engineering, or using APIs like OpenAI, Claude, etc. Comfortable working US hours (PST/EST overlap). Clear, professional English —written and spoken. Ability to work remotely. Nice-to-Haves Past work with CPaaS tools : Twilio, Twilio Flex, SignalWire, or—bonus—Signalmash. Experience with WordPress, Zoho Sites, or custom landing pages. Familiar with low-code tools like Zapier, Make, Tray.io, or n8n. Zoho certifications (we won’t cry if you don’t have one, but still). We’re Not Looking For Recruiters or “agencies". This is a full time direct job. Folks who say "AI experience" but mean “asked ChatGPT once.” Must be able to speak professional co Compensation Pay will be based on experience, skillset, and just how much magic you can bring. Full-time role with long-term potential. $1,000 - $3,000 a month plus quarterly bonus based on OKR's. How to Apply 📧 Send your resume to careers@signalmash.com 📹 Include a short video (under minutes) telling us why you're the one. We care more about substance than polish. ✉️ Subject: Zoho Architect – [Your Name] – No Recruiters

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 7+ years. Deep understanding of Generative AI fundamentals and transformer-based architectures. Strong working experience in Lang Chain and Prompt Engineering. Expertise in Generative AI and Retrieval-Augmented Generation (RAG). Proficiency in OpenAI APIs/models (GPT-3, GPT-4, Codex). Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow. In-depth knowledge of NLP, deep learning architectures, and ML algorithms. Proficient in Python and experience with AI solution deployment. Experience working with cloud platforms like AWS, Azure, or Google Cloud. Exposure to AI ethics, responsible AI practices, and bias mitigation techniques. Familiarity with GANs, VAEs, and other generative modeling approaches. Excellent problem-solving, analytical thinking, and communication skills. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Job Title: Full Stack Developer – Node.js | React.js | GenAI Location: Pune (Hybrid Work Model) Experience Required: 4+ Years Availability: Immediate Joiner Preferred Employment Type: Full-time About the Role We are looking for a skilled and versatile Full Stack Developer with strong experience in Node.js, React.js, MySQL , and a working knowledge of Large Language Models (LLMs) and Generative AI technologies. This role is ideal for someone who thrives at the intersection of software engineering and AI innovation , with the ability to build robust full stack applications and integrate intelligent AI-driven features. Key Responsibilities Develop, test, and maintain scalable full stack applications using Node.js for backend and React.js for frontend. Design and manage MySQL databases , ensuring data integrity and performance. Collaborate with the product and AI teams to build and integrate GenAI and LLM-powered features into web applications. Optimize code performance, enhance UX, and implement secure APIs. Participate in code reviews, architecture planning, and DevOps integration. Stay updated with emerging GenAI tools, frameworks, and best practices. Contribute to AI model evaluation, fine-tuning, or inference integration when required. Required Skills & Qualifications 4+ years of hands-on experience in full stack development . Strong proficiency in: Node.js and Express.js (or similar backend frameworks) React.js and modern JavaScript/TypeScript MySQL or other relational databases Working knowledge or hands-on experience with: Generative AI models or platforms (OpenAI, LangChain, RAG pipelines, etc.) LLMs (e.g., GPT, BERT, LLaMA) and API-based AI integration Familiarity with cloud platforms (AWS/GCP/Azure) is a plus. Good understanding of RESTful APIs, authentication (JWT/OAuth), and Git workflows. Strong problem-solving, debugging, and communication skills. Ability to work in a hybrid environment based in Pune. Preferred (Bonus) Skills Experience with vector databases or semantic search . Knowledge of LangChain , Hugging Face , or OpenAI APIs . Exposure to Docker/Kubernetes or CI/CD pipelines

Responsibilities Enhance and maintain our main web application, ASCLOGS, built on ASP.NET MVC (.NET Framework 4.8) with features such as authentication, PDF generation via IronPdf, audit logging with log4net, Twilio SMS integration, and data access through PetaPoco. Support multiple companion projects including: CopyForm, an MVC tool that copies form templates between SQL Server databases using AJAX and PetaPoco data access. SQLImportApp, a WinForms importer leveraging ExcelDataReader and Z.Dapper.Plus for bulk inserts. DEAVerification, a WinForms app automating data retrieval via Selenium WebDriver and storing results with PetaPoco. UniversalScrapperAPI, an ASP.NET Web API that scrapes licensing information using Selenium and logs results with log4net. HL7DocAssistantSync, a VB.NET library for HL7 message processing and PDF generation with PdfSharp. ChatGPT Implementation, a .NET 8 Web API example showing how we integrate with OpenAI's ChatGPT service. S3MicroService, a .NET 8 Web API using AWS SDK packages (AWSSDK.S3, AWSSDK.Extensions.NETCore.Setup) and Entity Framework Core for storage. Maintain PowerShell utilities used for onboarding tasks such as document-to-PDF conversion and CSV generation. Review existing code to improve reliability, enhance testability, and refactor large code files (for example, BusinessLayer/BusinessLayer.cs is roughly 28k lines). Work closely with stakeholders to gather requirements for new features and ensure compatibility with our SQL Server backend. Assist in modernizing legacy components and implementing best practices for security, error handling, logging, and deployment automation. Required Skills 10+ years of development experience Extensive experience with C# and the .NET ecosystem, including both legacy .NET Framework and modern .NET Core / .NET 8. Solid understanding of ASP.NET MVC, Web API, and Windows Forms development. Familiarity with PetaPoco, Entity Framework Core, and SQL Server. Experience integrating third-party services such as Twilio, OpenAI, Selenium WebDriver. Ability to write and troubleshoot PowerShell scripts for automation tasks. Comfortable navigating large codebases and improving code quality through refactoring, unit testing, and documentation. Proficiency with version control (Git) and the Visual Studio toolchain. Preferred Skills Background in healthcare or regulated industries, since many applications manage sensitive data (e.g., DEA verification, HL7 messaging). Knowledge of PDF generation libraries (IronPdf, PdfSharp) and logging frameworks (log4net). Experience with CI/CD pipelines for .NET applications. Nice to have Unit Testing frameworks (i.e. NUnit, MS Testing Framework ) Location & Work Environment This role requires working with Visual Studio on Windows for the .NET Framework solutions and .NET 8 projects. Experience with IIS or IIS Express is helpful for local development and testing. Skills:- .NET, ASP.NET MVC, ASP.NET, SQL and C

Role Overview: We are looking for a skilled Senior Java Backend Engineer to join our team focused on building scalable and high-performance backend systems for Generative AI applications. You’ll play a key role in designing APIs, orchestrating AI agents, and integrating Large Language Models (LLMs) into production-ready systems. This role is ideal for backend developers with a passion for modern AI technologies and distributed systems. Key Responsibilities: Design, build, and maintain scalable backend services using Java and the Spring Boot framework Develop APIs to enable LLM integration and support AI agent orchestration workflows Architect microservices to power RAG (Retrieval-Augmented Generation) and other LLM-driven systems Optimize performance through efficient caching strategies and vector database interactions Integrate and manage connections with multiple LLM providers (e.g., OpenAI, Gemini, Claude), including rate limiting and failover handling Implement real-time streaming features for conversational AI systems using WebSockets or similar technologies Ensure robust system observability with logging , monitoring , and tracing Required Skills & Qualifications: 3–7 years total, with a minimum of 1 year working on Generative AI projects Backend Development: Minimum 3 years of hands-on experience with Java and Spring Boot Strong grasp of RESTful API design principles and microservices architecture Proficiency with core Spring modules: Spring Security , Spring Data JPA , Spring Cloud Experience working with relational and NoSQL databases: PostgreSQL , MongoDB , Redis Familiarity with message brokers such as RabbitMQ or Apache Kafka Expertise in caching mechanisms and system performance tuning Generative AI Integration: Experience integrating LLM APIs (OpenAI, Gemini, Claude, etc.) into backend services Knowledge of vector databases and semantic search technologies Familiarity with AI agent orchestration frameworks (e.g., LangGraph ) Understanding of RAG systems and how to implement them effectively Experience developing streaming responses using WebSockets or server-sent events Working knowledge of prompt templating and management systems Nice to Have: Experience in fine-tuning LLMs and managing model deployment pipelines Knowledge of self-hosted LLM environments and infrastructure management Exposure to observability tools like LangSmith or custom monitoring setups Familiarity with natural language to SQL systems or BI applications powered by LLMs

We at CLOUDSUFI are seeking a skilled and motivated AI/ML Engineer with a background in Natural Language Processing (NLP), speech technologies, and generative AI. The ideal candidate will have hands-on experience building AI projects from conception to deployment, including fine-tuning large language models (LLMs), developing conversational agents, and implementing machine learning pipelines. You will play a key role in building and enhancing our AI-powered products and services. Key Responsibilities Design, develop, and deploy advanced conversational AI systems, including customer onboarding agents and support chatbots for platforms like WhatsApp. Process, transcribe, and diarize audio conversations to create high-quality datasets for fine-tuning large language models (LLMs). Develop and maintain robust, scalable infrastructure for AI model serving, utilizing technologies like FastAPI, Docker, and cloud platforms (e.g., Google Cloud Platform). Integrate and leverage knowledge graphs and contextual information systems to create more personalized, empathetic, and goal-oriented dialogues. Engineer and implement retrieval-augmented generation (RAG) systems to enable natural language querying of internal company documents, optimizing for efficiency and informativeness. Fine-tune and deploy generative models like Stable Diffusion for custom asset creation, with a focus on improving precision and reducing generative artifacts (FID score). Collaborate with cross-functional teams, including product managers and designers, to build user-friendly interfaces and tools that enhance productivity and user experience. Contribute to the research and publication of novel AI systems and models. Qualifications And Skills Education: Bachelor of Engineering (B.E.) in Computer Science or a related field. Experience: 3+ years of professional experience as a Machine Learning Engineer or in a similar role. Programming Languages: Expertise in Python and a strong command of SQL, and JavaScript. Machine Learning Libraries: Hands-on experience with PyTorch, Scikit-learn, Hugging Face Transformers, Diffusers, Librosa, LangGraph, and the OpenAI API. Software and Tools: Proficiency with Docker and various databases including PostgreSQL, MongoDB, Redis, and Elasticsearch. Core Competencies: Experience developing end-to-end AI pipelines, from data processing and model training to API deployment and integration. Familiarity with MLOps principles and tools for building and maintaining production-level machine learning systems. A portfolio of projects, publications, or open-source contributions in the fields of NLP, Computer Vision, or Speech Analysis is a plus. Excellent problem-solving skills and the ability to think strategically to deliver optimized and efficient solutions. Skills:- Generative AI, Machine Learning (ML), Natural Language Processing (NLP) and Large Language Models (LLM)

Role Overview: We are seeking a highly skilled Senior Data Scientist with hands-on experience in Generative AI to design, build, and deploy advanced AI solutions. This role involves working on cutting-edge projects like RAG-based chatbots, LLM-driven BI systems, and autonomous coding agents. You will collaborate cross-functionally with engineering teams to turn AI prototypes into scalable production systems. Key Responsibilities: Architect and implement end-to-end Generative AI solutions (e.g., RAG chatbots, AI-powered BI tools, code-generating agents) Develop intelligent agents using LangGraph or similar orchestration frameworks Build scalable data ingestion and retrieval pipelines leveraging LlamaIndex and related libraries Design and maintain high-performance vector databases for semantic search and information retrieval Integrate and benchmark multiple LLM providers (OpenAI, Gemini, Claude, etc.) Set up monitoring and observability systems using tools like LangSmith for real-time tracking of AI performance Work closely with engineering teams to productionize machine learning models and applications Required Skills & Qualifications: 3–7 years total experience, with a minimum of 1 year focused on Generative AI Generative AI Expertise: Practical experience with LangGraph or equivalent frameworks for agent orchestration Strong knowledge of LlamaIndex , LangChain , or similar libraries for document processing Proficiency with vector databases (Pinecone, Chroma, Weaviate, etc.) Familiarity with LLM APIs from providers like OpenAI , Anthropic , and Google Hands-on experience with LLM observability tools such as LangSmith, Weights & Biases Demonstrated ability to build natural language to SQL BI tools Proven experience in building RAG systems for contextual chatbot solutions Experience in developing code generation agents and LLM-based programming assistants Traditional AI & Machine Learning: Solid foundation in ML techniques such as classification, regression, clustering, and time-series forecasting Proficiency with frameworks like scikit-learn , TensorFlow , and PyTorch Experience in statistical analysis , A/B testing , and experimental design Strong data handling skills, including feature engineering and preprocessing

MinutestoSeconds is a dynamic organization specializing in outsourcing services, digital marketing, IT recruitment, and custom IT projects. We partner with SMEs, mid-sized companies, and niche professionals to deliver tailored solutions. Requirements About the Role: We are looking for an innovative and highly skilled AI / Generative AI Engineer to join our growing technology team. You will be responsible for building, fine-tuning, and integrating generative models such as GPT, DALL·E, Stable Diffusion, or custom transformers to power intelligent solutions across our products and services. Key Responsibilities: Design, develop, and deploy Generative AI models (LLMs, diffusion models, transformers) for real-world applications. Fine-tune foundation models using proprietary or domain-specific datasets. Integrate LLMs and generative models into production pipelines, APIs, and applications. Conduct research and experimentation on prompt engineering, model alignment, and retrieval-augmented generation (RAG). Collaborate with cross-functional teams including product managers, data scientists, and software engineers. Evaluate model performance and optimize for latency, accuracy, and ethical use. Stay updated with the latest in GenAI research (e.g., OpenAI, Hugging Face, Meta, Google DeepMind) and bring best practices to the team. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 3+ years of experience in machine learning, with at least 1–2 years focused on Generative AI or NLP. Proficiency in Python and libraries like PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or OpenAI API. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude), image generation models (e.g., Stable Diffusion), or speech models (e.g., Whisper). Strong understanding of deep learning architectures (RNNs, CNNs, transformers). Experience with MLOps, model serving (e.g., Triton, FastAPI), and scalable cloud deployment (AWS, GCP, Azure). Familiarity with prompt engineering and fine-tuning techniques (LoRA, PEFT, RLHF). Desirable: Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and RAG pipelines. Knowledge of ethical AI principles, bias mitigation, and responsible AI practices. Contributions to open-source projects or published research in AI/ML conferences or journals. Experience working with multi-modal models (text+image+audio).

Who We are Looking For : We are hiring a hands-on Gen-AI Developer who has strong coding experience in C# , a solid understanding of Gen AI (Generative AI) concepts like LLMs (Large Language Models) and AI agents , and is well-versed in using Azure cloud services . This role is not for managers or theorists — we need someone who can build, test, and deploy real-world AI applications and solutions. Must-Have Skills & Expertise Programming & Frameworks C# Programming Language – Strong command and ability to build enterprise-level applications. .NET and .NET Aspire – Experience building scalable AI applications using the .NET ecosystem. AI & Gen-AI Development Experience working with LLMs (Large Language Models) such as OpenAI, GPT, Azure OpenAI, or local models. Hands-on experience with Generative AI tools and frameworks . Semantic Kernel (Microsoft) – Ability to use and integrate Semantic Kernel for building AI agents and orchestrating tasks. AI Agent Concepts Understanding of how AI agents work (multi-step reasoning, task decomposition, autonomous behavior). Ability to design, build, and optimize Agentic AI systems . Cloud Platform: Microsoft Azure Should have deployed or worked on AI solutions using the following Azure services: App Services Containers (Docker on Azure) AI Search Bot Services AI Foundry Cloud-native development and serverless architectures are a strong plus. Data Science & Machine Learning End-to-end ML pipeline development: from data ingestion , model training , fine-tuning , to deployment . Comfortable working with ML frameworks like MLflow , Kubeflow , or TFX . Experience with model fine-tuning and deployment , especially LLMs. Data & Pipelines Knowledge of building data pipelines using: Apache Airflow Apache Kafka Azure Data Factory Experience with both structured (SQL) and unstructured data (NoSQL) . Familiarity with Data Lakes , Data Warehouses , and ETL workflows. Infrastructure & DevOps Experience with: Containerization using Docker and Kubernetes . Infrastructure as Code tools like Terraform or Azure Resource Manager (ARM) . CI/CD tools like Azure DevOps , GitHub Actions , or Jenkins . Building and automating end-to-end pipelines for AI/ML models . Cloud Security & Cost Management Solid understanding of: Cloud security best practices – IAM, VPCs, firewalls, encryption, etc. Cloud cost optimization – autoscaling, efficient resource allocation, and budget tracking. Key Responsibilities Develop, test, and deploy intelligent applications using C# and Gen-AI technologies . Build and optimize AI agents using Semantic Kernel and LLMs . Create full ML/AI solutions — from data processing, model training, evaluation, to production deployment. Integrate and manage Azure AI services in enterprise solutions. Design and maintain data pipelines , model orchestration workflows, and automated deployments . Work collaboratively with cross-functional teams (data scientists, DevOps engineers, backend developers). Ensure performance optimization of deployed models and infrastructure. Maintain cloud cost efficiency and monitor infrastructure using the right tools and strategies. Follow Agile methodologies (Scrum/Kanban), participate in sprint planning, code reviews, and team stand-ups. Maintain code quality, documentation, and test coverage. Soft Skills Required Clear communication skills – You should be able to explain technical ideas to both tech and non-tech stakeholders. Collaborative mindset – You’ll work closely with DevOps, ML Engineers, and Data Scientists. Strong analytical and problem-solving skills – Able to break down complex problems into actionable steps. Self-motivated and hands-on – You enjoy coding, experimenting, and deploying real systems. Adaptable to new tools and fast-changing Gen-AI landscape . Ideal Candidate Summary Someone who can code in C# , work with Azure services , and understands AI at a hands-on level . You’ve built or deployed Gen-AI models, worked with LLMs and AI Agents , and can set up the whole stack — from data to deployment , securely and efficiently. You are not afraid to get your hands dirty with containers, pipelines, code, or model tuning.

We're a privately held group of companies looking to adapt AI projects across our group. One of our pre-seed investments is building a cutting-edge AI based self-development platform. We're looking for a front-end developer with strong React/Next.js and TypeScript skills to help us evolve our Next.js app into a social-first, AI-integrated experience. Tech Stack: Next.js (App Router), React, TypeScript (TSX) Redux Toolkit, Supabase, OpenAI SDK Sass (SCSS), Bootstrap, PostCSS Node.js, Amplitude, Spline 3D What You’ll Work On: Enhance and scale our dynamic UI across pages and components Integrate AI-driven features (OpenAI chat, daily reflection analysis) Build out social features (tribes, profiles, public feeds) Ensure responsive, clean design using SCSS + Bootstrap Maintain clean, strongly typed code (strict TS) Must-Haves: 3+ years with React + Next.js Strong TypeScript, Redux Toolkit, SCSS Experience working with REST APIs (bonus if Supabase/OpenAI) Available with at least a 4 hour overlap with Pacific Standard Time Comfortable in fast-paced, early-stage product environments 💡 Bonus: Startup mindset, Amplitude or analytics familiarity, or worked on social or AI products before. To apply, respond on LI with details of previous relevant experience. The role is being advertised as full-time and for an immediate start.

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in Job Description REQUIREMENTS: Total experience 10+ years. Deep understanding of Generative AI fundamentals and transformer-based architectures. Strong working experience in Lang Chain and Prompt Engineering. Expertise in Generative AI and Retrieval-Augmented Generation (RAG). Proficiency in OpenAI APIs/models (GPT-3, GPT-4, Codex). Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow. In-depth knowledge of NLP, deep learning architectures, and ML algorithms. Proficient in Python and experience with AI solution deployment. Experience working with cloud platforms like AWS, Azure, or Google Cloud. Exposure to AI ethics, responsible AI practices, and bias mitigation techniques. Familiarity with GANs, VAEs, and other generative modeling approaches. Excellent problem-solving, analytical thinking, and communication skills. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 3+ years. Deep understanding of Generative AI fundamentals and transformer-based architectures. Strong working experience in Lang Chain, Prompt Engineering and Agentic AI. Expertise in Generative AI and Retrieval-Augmented Generation (RAG). Proficiency in OpenAI APIs/models (GPT-3, GPT-4, Codex). Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow. In-depth knowledge of NLP, deep learning architectures, and ML algorithms. Proficient in Python and experience with AI solution deployment. Experience working with cloud platforms like AWS, Azure, or Google Cloud. Exposure to AI ethics, responsible AI practices, and bias mitigation techniques. Familiarity with GANs, VAEs, and other generative modeling approaches. Excellent problem-solving, analytical thinking, and communication skills. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Full-time Service Region: South Asia Company Description We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 7+ years. Deep understanding of Generative AI fundamentals and transformer-based architectures. Strong working experience in Lang Chain and Prompt Engineering. Expertise in Generative AI and Retrieval-Augmented Generation (RAG). Proficiency in OpenAI APIs/models (GPT-3, GPT-4, Codex). Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow. In-depth knowledge of NLP, deep learning architectures, and ML algorithms. Proficient in Python and experience with AI solution deployment. Experience working with cloud platforms like AWS, Azure, or Google Cloud. Exposure to AI ethics, responsible AI practices, and bias mitigation techniques. Familiarity with GANs, VAEs , and other generative modeling approaches. Excellent problem-solving, analytical thinking, and communication skills. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Full-time Service Region: South Asia Company Description We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 5+ years. Deep understanding of Generative AI fundamentals and transformer-based architectures. Strong working experience in Prompt Engineering and Agentic AI. Expertise in Generative AI and Retrieval-Augmented Generation (RAG). Proficiency in OpenAI APIs/models (GPT-3, GPT-4, Codex). Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow. In-depth knowledge of NLP, deep learning architectures, and ML algorithms. Proficient in Python and experience with AI solution deployment. Experience working with AWS. Exposure to AI ethics, responsible AI practices, and bias mitigation techniques. Familiarity with GANs, VAEs , and other generative modeling approaches. Excellent problem-solving, analytical thinking, and communication skills. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Are you passionate about AI, storytelling, and creative expression? Join us as an AI Creative Intern and gain hands-on experience on real-time AI projects—including AI-generated videos, short films, characters, scenes, and images—that will supercharge your creative journey. About the Role As an AI Creative Intern, you'll dive into a variety of cutting-edge, real-time AI creative projects. These projects will expose you directly to the latest advancements in generative AI for storytelling, design, and media production, all within a fast-paced, innovation-driven environment. What You’ll Do Design, create, and edit AI-generated videos, short films, characters, scenes, and images using industry-leading AI content generation tools. Develop imaginative concepts and creative content powered by generative AI for real-world applications and media. Work on live AI projects involving digital media, interactive storytelling, visual automation, and content creation, enabling you to build a portfolio aligned with current industry trends. Explore and master emerging AI tools (image, video, and text-based AI), pushing creative boundaries and increasing productivity. Receive mentorship and hands-on guidance from professionals at the forefront of the AI creative field. Who You Are Undergraduate or recent graduate in design, communication, advertising, filmmaking, marketing, or related fields. Proven experience working in the AI space—especially with generative AI—creating videos, characters, scenes, and images. A strong portfolio that showcases your generative AI work is a must. Proficiency with AI tools such as Midjourney, RunwayML, ChatGPT, Adobe AI, Kaiber, Sora by OpenAI, or similar—or a keen ability and desire to learn new AI technology rapidly12. Excellent communication skills and a passion for collaboration. Curious, enthusiastic, and proactive when it comes to problem-solving and creative experimentation. What We Offer Direct, hands-on experience on real-time generative AI projects—including videos, short films, creative characters, scenes, and images. A flexible work environment with remote options. Stipend and certificate upon successful completion. A launchpad into the fast-evolving world where creativity and AI intersect, building in-demand skills for the future. Ready to unleash your creativity with AI and showcase your generative skills to the world? Apply now with your resume and a portfolio highlighting your AI-driven creative work. Let’s innovate together!

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The roles in this function will cover all primary development activity across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product road maps. These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery. Primary Responsibilities: Design, implement and maintain applications within all phases of the Software Development Life Cycle (SDLC) Develop, test, implement and maintain application software working with established processes Communicate effectively with other teammates and QA Establish, refine and integrate development and test environment tools and software as needed Identify production and non-production application issues Identify opportunities to fine-tune and optimize applications for developed projects Provide technical support and consultation for full stack application and infrastructure questions Serve as a mentor to less experienced developers End-to-end development and support application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method Build quality into every output Evaluate new tools, new techniques, and strategies Automation of common tasks Build common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways Code Angular 18+, C#, .NET Core, React & Node JS based Azure cloud hosted Web applications Write SQL Server Stored Procedures, Create SQL Server tables, functions, triggers, indexes Optimize the existing Stored Procedures Participate in daily Scrum meetings and delivering the assigned tasks within the timelines specified and meeting the team goal Role-sharing in the team as and when the demand would be Translate requirements into technical specifications Provide explanations and interpretations within area of expertise Work with business segments to better define project requirements for development and implementation Work with minimal guidance; seeks guidance on only the most complex tasks Analyze and investigate Translates concepts into practice Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: MCA or B.E. or B. Tech or equivalent with 6+ years experience Experience with Generative AI, OpenAI, Lang Chain, and RAG Solid knowledge C#, .NET Core, ASP.NET, MVC, Angular/React, Web API, and Python Proficient in SQL Server and vector databases (Pinecone/Chroma) Proven to be flexible enough to learn new skills Proven good communication and presentation skills Preferred Qualifications: Experience in Health care domain Knowledge of Web Services, Microservices, Interactive Web UI development - jQuery, Bootstrap, async, etc. ML, NLP and AI working knowledge and exposure Production supports exposure At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #Nic #NJP

USI D365 Solution Architect, Deputy manager / Manager NSE Growth We are seeking a highly skilled, experienced, and visionary Microsoft Dynamics 365 Solution Architect. You will join a high-performing team of The Global Deloitte Microsoft Technology Service Practice (DMTSP) is a TR (Technology Relationship) division within Deloitte Global, dedicated to leveraging Microsoft technologies through our Technology Relationship As a Microsoft Dynamics 365 Solution Architect, you will be responsible for driving the adoption of Dynamic365 solutions across NSE. You will bridge the gap between complex business needs and technical solutions by designing and delivering robust Dynamics 365 architectures that align with strategic objectives and enable transformative business outcomes. Work you’ll do In this role you will: Be the senior representative of the Solution Architecture practice across one or more platforms, domains, or service lines, delivering architecture outcomes that align with client needs and IT strategy. Build strong, daily engagement with Regional Leadership team (DMTSP GEO Partners), acting as a technical anchor and supporting open opportunities within the pipeline. Provide technical leadership to define and document commercially viable solutions that span business, application, data, infrastructure, and security domains. Design and deliver complex technology products aligned to the Deloitte Regional Offering, supporting application architecture across on-premises, hybrid, and cloud environments. Interface with Opportunity Leaders, Solution Architects, Local Account Managers, and the Security team to produce designs that are ready for implementation. Review and approve solution designs, ensuring quality and coaching across the broader Solution Architecture team. Guarantee all functional and non-functional requirements are met; ensure any exceptions are justified, communicated, and accepted by stakeholders. Collaborate with Enterprise, Cloud, and Security architecture communities, as well as Data Privacy, Product Owners, and governance bodies to ensure strategic alignment and manage risks. Interface with internal and external SMEs and application owners across Business Lines, Operations, Development, and Change teams during design and migration phases. Identify risks and manage them proactively. The Team At Deloitte, you’ll be joining an NSE DMTSP firm, working together to make positive changes happen. We are part of Deloitte North and South Europe (NSE), the second largest member firm in the Deloitte network. About Deloitte Global and NSE DMTSP The Global Deloitte Microsoft Technology Service Practice (DMTSP) is a TR (Technology Relationship) division within Deloitte Global, dedicated to leveraging Microsoft technologies through our Technology Relationship. As part of Deloitte's commitment to innovation and excellence, the Global DMTSP integrates cutting-edge Microsoft capabilities with Deloitte's deep industry expertise to address complex business challenges. Our practice focuses on developing tailored solutions that drive digital transformation, enhance operational efficiency, and achieve strategic business objectives for our clients across various sectors. The NSE DMTSP is a regional member of the Global DMTSP Technology Relationship, focusing its services across 8 GEO regions: UK, Ireland, Italy, Greece, Malta, Netherlands, Switzerland, Belgium, Iceland, Nordics, and Middle East area. The NSE DMTSP leverages global offerings to deliver innovative solutions to local GEOs using Microsoft technologies. Our activities include implementing best-in-class solutions for clients using Microsoft capabilities as part of Deloitte's Technology Relationship, with global support to our GEOs. MSFT Independence MSFT independence refers to the adherence to compliance and regulatory standards that ensure the objectivity and impartiality of Deloitte's services, particularly in relation to Microsoft technologies. It involves maintaining a clear separation between Deloitte's advisory services and Microsoft's product offerings to avoid conflicts of interest and ensure unbiased recommendations and solutions. NSE DMTSP Core Team The core team of NSE DMTSP comprises the NSE DMTSP Leader, Regional Manager (RM), Marketing Manager, and Solution Architect (this role). This team is dedicated to serving all NSE GEO leaders assigned to our practice, aiming to increase collaboration, exposure, and support with capabilities across NSE. The collective goal is to deliver DMTSP solutions effectively to our clients, ensuring that marketing strategies are aligned with the broader objectives of the practice. Location : Hyderabad / Bangalore Work shift Timings : 11 AM to 8 PM Qualifications Bachelor of Engineering/ Bachelor of Technology Essential 8 - 12 years of total professional experience, including 4+ years hands-on delivering full Microsoft solution architecture (D365, Power Platform, Copilot Studio). Proven ability to document and implement complex IT infrastructure aligned with business needs. Experience analyzing and documenting cloud/on-premises applications and infrastructure (networking, storage, security, hosting). Proficient in designing seamless data flows and integrations across Microsoft Dynamics, SharePoint, M365, Copilot Studio, Azure, and Power Platform. Systems thinker capable of evaluating technical trade-offs and articulating residual risk. Ability to guide internal teams and stakeholders in Microsoft environments and architecture best practices. Skilled in configuring and managing D365 compliance features including data governance, identity, and threat protection. Experience building demos, RFP strategies, and adoption roadmaps for DMTSP services including change management and training. Strong experience in Power Platform solution design and integration across Dynamics, Copilot, and Azure. Excellent communication skills with the ability to present technical solutions to non-technical stakeholders. Familiarity with ITIL and IT service management frameworks. Architect-level Microsoft certifications. Ability to delegate technical tasks and coach Solution and Technical Architecture teams. Advanced certifications in Dynamic 365 and Power Platform. Required: Understanding of Microsoft Independence. Desirable: Knowledge of industry compliance and security standards, such as ISO 27001 and PCI-DSS. Experience with M365, Agentic AI, MSM, Azure, SaaS security, and OpenAI, with solutions tailored to specific client requirements and industry verticals. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India. Benefits to help you thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 307219

Job description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist In this role, you will: Develop and deploy autonomous AI agents that operate, learn, and adapt in real-world environments. Optimize TensorFlow-based models for real-time inference and low-latency decision-making. Enhance agent decision-making abilities through RL, planning, and heuristic algorithms. Design and implement multi-agent architectures using frameworks like LangChain, AutoGPT, CrewAI, or similar. Integrate AI agents with APIs, databases, and messaging systems (Kafka, RabbitMQ, MQTT). Monitor and optimize agent performance using observability tools like OpenTelemetry, ELK stack, or Prometheus. Ensure AI safety, security, and ethical considerations in agent behavior. Collaborate with AI researchers, ML engineers, and software developers to push the boundaries of Agentic AI. Stay up to date with AI trends, including autonomous agents, self-improving models, and multi-agent coordination Requirements To be successful in this role, you should meet the following requirements: Strong programming skills in Python, Go, Node.JS or Java. Experience with LLM-based agents (AutoGPT, BabyAGI, CrewAI, OpenAI Function Calling, etc.). Hands-on experience with LLMs (GPT, LLaMA, Claude, Mistral, etc.), diffusion model or GANs Hands-on experience with Reinforcement Learning (RL), Evolutionary Algorithms, or Graph Neural Networks. Strong experience with AI/ML framework such as TensorFlow, PyTorch or JAX. Knowledge of event-driven architectures and messaging systems (Kafka, Redis Streams, RabbitMQ). Proficiency in cloud AI services (AWS SageMaker, Azure AI, Google Vertex AI). Experience with multi-agent coordination & communication protocols. Familiarity with observability & logging tools (Prometheus, OpenTelemetry, ELK). Strong understanding of distributed systems, networking, and security for AI agents. Experience working with OpenAI, Hugging face or Anthropic APIs. Knowledge of LLM fine-tuning techniques such as LoRA, QLoRA or RLHF Contributions to open-source AI agent projects. Background in game theory, planning algorithms, or decision trees. Familiarity with Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB). Familiarity with interface development with Angular/React/Javascript framework You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India