1522 Openai Jobs - Page 24

Our Company Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We build intelligent, cutting-edge solutions that push the boundaries of what’s possible through AI and human-machine collaboration. Role Overview We are looking for a highly skilled and creative Prompt Engineer with 3+ years of experience in working with Large Language Models (LLMs) and generative AI systems. In this role, you will design and optimize high-quality prompts that drive intelligent, context-aware behavior in our AI applications. You’ll work across teams to create conversational experiences, copilots, and autonomous agents that solve real-world problems. What we are looking from an ideal candidate? Design, craft, and iterate high-performing prompts for use in generative AI systems, including chatbots, assistants, and intelligent agents. Collaborate with AI/ML engineers, UX designers, and product teams to build seamless, human-like experiences powered by LLMs. Evaluate and optimize prompts using model output analysis, human feedback, and automated testing. Apply prompt engineering techniques such as few-shot learning, chain-of-thought reasoning, function calling, and tool integration. Build and maintain prompt libraries, templates, and best practices documentation. Monitor LLM performance, identify weaknesses, and fine-tune prompt logic for specific use cases. Stay up to date with the latest advancements in prompting, LLM tuning, and AI safety practices. Preferred Skills What skills do you need? Requirements 3+ years of professional experience in prompt engineering, NLP, conversational AI, or a closely related field. Strong working knowledge of LLMs (OpenAI GPT-4, Claude, LLaMA, etc.) and prompt tuning techniques. Proven experience designing and optimizing prompts for real-world applications. Excellent analytical thinking and language structuring skills. Proficiency with Python, API integrations, and tools for working with generative AI models. Experience working in cross-functional teams on AI-driven product development. Strong understanding of AI capabilities, limitations, and ethical implications. Preferred Qualifications Experience with AI toolchains such as LangChain, Semantic Kernel, or vector databases (e.g., Pinecone, Weaviate). Background in linguistics, computational linguistics, cognitive science, or HCI. Familiarity with fine-tuning or reinforcement learning from human feedback (RLHF) is a plus. Experience designing prompts for multi-modal AI systems (text + image, speech, etc.). What We Offer Work on high-impact projects at the cutting edge of AI innovation A collaborative and intellectually curious environment Compensation is not a constraint for the right candidate – we value skill, impact, and innovation Access to continuous learning and professional development resources Show more Show less

Our Company Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We design and build intelligent, secure, and scalable platforms that are reshaping the future across industries. Role Overview We are looking for a visionary and hands-on Generative AI Architect with 10+ years of experience in building scalable AI and data platforms, including 3+ years of expertise in Generative AI technologies . The ideal candidate will lead the design, development, and deployment of intelligent systems that integrate large language models (LLMs), multimodal AI, and other cutting-edge GenAI capabilities into real-world applications. This is a strategic and high-impact role that combines deep technical leadership with product innovation to define the future of AI at Techvantage.ai. What we are looking from an ideal candidate? Architect and lead end-to-end solutions involving LLMs, diffusion models, transformers, and multimodal AI across enterprise and consumer use cases. Design robust and scalable architectures for prompt engineering, model orchestration, embedding pipelines, vector databases, and fine-tuning/instruction tuning. Evaluate and integrate open-source and proprietary models (e.g., OpenAI, Anthropic, Mistral, LLaMA, Claude, Gemini, etc.) based on business requirements. Lead model selection, finetuning, RAG (Retrieval-Augmented Generation), prompt optimization, and latency vs. performance tradeoffs. Collaborate with product managers, data scientists, engineers, and clients to design GenAI-powered applications aligned with business goals. Ensure adherence to ethical AI practices, data privacy, model safety, and bias mitigation. Contribute to internal GenAI accelerators, reusable frameworks, and innovation strategies. Stay at the forefront of AI/ML advancements and drive PoCs and pilot implementations across industry verticals. Preferred Skills What skills do you need? Required Skills & Qualifications 10+ years of experience in technology roles, including AI/ML architecture, data engineering, or solution architecture. At least 3+ years of experience in designing and deploying Generative AI solutions. Deep knowledge of transformer architectures, LLMs, diffusion models, and related frameworks (e.g., Hugging Face, LangChain, LlamaIndex, Haystack, etc.). Experience with prompt engineering, RAG pipelines, and vector database technologies (FAISS, Weaviate, Pinecone, Chroma, etc.). Proficiency in Python, Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP). Strong understanding of MLOps, CI/CD for ML, and model lifecycle management. Excellent communication and stakeholder management skills, with the ability to explain complex AI concepts to non-technical audiences. Preferred Qualifications Experience deploying GenAI systems in BFSI, healthcare, e-commerce, or enterprise SaaS platforms. Familiarity with agentic AI systems, autoML, RLHF, or autonomous agents. Knowledge of data governance, compliance, and responsible AI frameworks. Contributions to open-source AI projects or publications in AI/ML are a strong plus. Master’s or PhD in Computer Science, AI/ML, Data Science, or a related field is preferred. What We Offer Lead innovation at the edge of Generative AI and intelligent systems Work with a talented team building future-ready AI infrastructure Access to state-of-the-art tools, models, and cloud credits Compensation is not a constraint for the right candidate Show more Show less

Location: Remote (India preferred) Type: Full-Time Start Date: Immediate Compensation: Cash + potential equity (based on contribution) About the Role We’re building a next-gen AI product that blends large language models, memory systems, and behavior modeling to deliver high-impact outcomes across team performance, communication, and learning. We’re already live in production and looking for one exceptional engineer to help us go faster, smarter, and deeper into AI-native experiences. What You’ll Own Build and improve AI agents using OpenAI APIs (GPT-4), memory storage, and dynamic prompt systems Architect and debug flows connecting LLMs with real-world use cases (Slack, files, messages, user states) Implement and optimize vector search pipelines (Pinecone or pgvector) for RAG systems Design, test, and iterate coaching or decision-making logic that evolves with user behavior Work closely with the founder to ship features weekly — no silos, no hierarchy What We’re Looking For 1–3 years of experience in AI/ML, backend, or full-stack roles Proficient in Node.js, PostgreSQL/Supabase, and OpenAI API usage Solid grounding in LLM integration, prompt engineering, and memory/embedding systems Quick learner who writes clean, debug-friendly code Bonus: Slack APIs, LangChain, Pinecone, Teams bots, Render/Vercel deployment Even bigger bonus: you think before you code, ship fast, and can explain your logic clearly What You Get Ownership: Be the second technical teammate in a real AI product Growth: Learn systems design, prompt architecture, and agent orchestration hands-on Impact: Your code runs in production from day one — no busywork Trajectory: If we click, you’ll shape this product with us as a core technical brain Show more Show less

Company Description Strategy (Nasdaq: MSTR) is at the forefront of transforming organizations into intelligent enterprises through data-driven innovation. We don't just follow trends—we set them and drive change. As a market leader in enterprise analytics and mobility software, we've pioneered BI and analytics space, empowering people to make better decisions and revolutionizing how businesses operate. But that's not all. Strategy is also leading to a groundbreaking shift in how companies approach their treasury reserve strategy, boldly adopting Bitcoin as a key asset. This visionary move is reshaping the financial landscape and solidifying our position as a forward-thinking, innovative force in the market. Four years after adopting the Bitcoin Standard, Strategy's stock has outperformed every company in S&P 500. Our people are the core of our success. At Strategy, you'll join a team of smart, creative minds working on dynamic projects with cutting-edge technologies. We thrive on curiosity, innovation, and a relentless pursuit of excellence. Our corporate values—bold, agile, engaged, impactful, and united—are the foundation of our culture. As we lead the charge into the new era of AI and financial innovation, we foster an environment where every employee's contributions are recognized and valued. Join us and be part of an organization that lives and breathes innovation every day. At Strategy, you're not just another employee; you're a crucial part of a mission to push the boundaries of analytics and redefine financial investment. Job Description Job Location: Pune. Full time in person 4 days a week from Strategy Pune Office. Job Description: As an AI Delivery Engineer, you will play a critical role in deploying our Auto 2.0 bots across diverse customer environments. You will leverage your expertise in Strategy Software and Cloud platforms to ensure seamless integration and optimal performance. Your familiarity with container technologies will be essential in managing scalable and flexible deployments. If you are passionate about AI technology and have a proven track record in software delivery, we invite you to apply. Key Responsibilities: Deploy Auto 2.0 bots in customer environments, ensuring alignment with client-specific requirements and configurations. Collaborate with cross-functional teams to design and implement deployment strategies that meet business goals. Utilize Strategy Software to guide deployment decisions, optimizing the use of tools and technologies to achieve desired outcomes. Integrate AI solutions within cloud environments (AWS, Azure, GCP) to ensure robust, scalable, and secure deployments. Manage containerization of AI applications using tools such as Docker or Kubernetes to enhance deployment flexibility and performance. Troubleshoot and resolve technical issues that arise during deployment, providing timely support and solutions to clients. Partner with customer teams to deliver training and support, enhancing their understanding and use of deployed solutions. Document deployment processes, configurations, and client interactions to support continuous improvement and knowledge sharing. Stay updated with industry trends and technological advancements to ensure cutting-edge solutions for our clients. Qualifications: Bachelor’s degree in Computer Science, Software Engineering, or a related field. Strong understanding of Strategy Software principles and practices is an absolute must. Proven experience in deploying AI technologies or similar software solutions in enterprise environments. Extensive experience with cloud environments (AWS, Azure, GCP) and their associated deployment strategies. Proficiency in containerization technologies such as Docker and Kubernetes. Excellent problem-solving skills and the ability to troubleshoot complex technical issues. Strong communication and interpersonal skills, with the ability to work effectively in a team and client-facing role. Highly organized and detail-oriented, with a commitment to delivering quality solutions on time and within scope. Work with various Large Language Models (LLMs), including OpenAI and Azure OpenAI, to enhance AI-driven functionalities. Additional Information The recruitment process includes online assessments as a first step. We send them via e-mail, please check also your SPAM folder. Show more Show less

Job Description Role: AI Engineer Employment Type: Full-Time, Permanent Location: On-site, Bengaluru Vacancies: Multiple Positions Company Overview EmployAbility.AI is an AI-driven career enablement platform dedicated to transforming how individuals and organizations navigate the future of work. We are committed to democratizing access to meaningful employment by using advanced artificial intelligence, real-time labor market data, and intelligent career pathways to bridge the gap between skills and opportunities. Our platform empowers job seekers with personalized career insights, learning recommendations, and job-matching tools while enabling organizations to make smarter hiring and workforce development decisions. By aligning talent capabilities with market demand, we help create a more inclusive, adaptive, and future-ready workforce. At EmployAbility.AI, we’re not just building software—we’re building solutions that make employability equitable, data-driven, and scalable. Job Role: AI Engineer As an AI Engineer at EmployAbility.AI, you will be at the forefront of building intelligent systems that power the platform’s core functionality—from LLM-based recommendations to intelligent search and contextual assistants. You will develop and deploy state-of-the-art AI models and pipelines using LLMs , LangChain , and Retrieval-Augmented Generation (RAG) to deliver impactful, real-world solutions. You will work closely with a cross-functional team of developers, data scientists, and product managers to create scalable, production-ready AI features that enhance user experiences and drive measurable value across industries and regions. Key Responsibilities Design and develop AI-driven features including conversational agents, recommendation engines, and smart search using LLMs. Build and integrate LangChain-based applications that leverage RAG pipelines for improved reasoning and contextual understanding. Fine-tune, evaluate, and optimize transformer models (BERT, GPT, LLaMA, etc.) for domain-specific use cases. Work with unstructured and semi-structured data (e.g., resumes, job descriptions, labor market datasets). Develop embedding-based search using tools like FAISS , Pinecone , or Weaviate . Collaborate with backend and frontend teams to integrate AI services via scalable APIs. Perform data preprocessing, feature engineering, and model evaluation. Monitor performance of deployed models and iterate based on feedback and metrics. Participate in prompt engineering, experiment tracking, and continuous optimization of AI systems. Stay updated on the latest trends in AI/ML and contribute to internal knowledge sharing. Education Requirements B.Tech/B.E, M.Tech, MCA, M.Sc, MS, or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Core Technical Skills – AI Engineering Large Language Models & NLP Experience with LLMs and transformer-based architectures (e.g., GPT, BERT, LLaMA). Hands-on with LangChain framework and RAG (Retrieval-Augmented Generation) workflows. Proficiency in prompt engineering , embedding models, and semantic search. Experience using Hugging Face Transformers , OpenAI API , or open-source equivalents. Vector Stores & Knowledge Retrieval Experience with FAISS , Pinecone , or Weaviate for similarity search. Implementation of document chunking, embedding pipelines, and vector indexing. ML/AI Development Strong skills in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn). Familiar with NLP tasks like named entity recognition, text classification, and summarization. Experience with API development and deploying AI models into production environments. Tooling & Development Practices Version control with Git , collaborative workflows via GitHub Experiment tracking with MLflow , Weights & Biases , or equivalent API testing tools (Postman, Swagger), and JSON schema validation Use of Jupyter notebooks for experimentation and prototyping Deployment & DevOps (Basic Understanding) Containerization using Docker , basic orchestration knowledge is a plus Cloud environments: familiarity with AWS , GCP , or Azure CI/CD workflows (GitHub Actions, Jenkins) Monitoring tools for model performance and error tracking (Sentry, Prometheus, etc.) Soft Skills & Work Habits Strong problem-solving and analytical thinking Ability to work cross-functionally with technical and non-technical teams Clear and concise communication of complex AI concepts Team collaboration and willingness to mentor peers or juniors Agile/Scrum practices using tools like Jira, Trello, and Confluence Bonus Skills (Good to Have) TypeScript or JavaScript for frontend or integration work Knowledge of GraphQL , chatbot development , or multi-modal AI Familiarity with AutoML , RLHF , or explainable AI Experience with knowledge graphs , ontologies , or custom taxonomies Show more Show less

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge AI models and systems for our clients. Your primary focus will be on driving innovation and leveraging generative AI techniques to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of AI technology. Job Description: Responsibilities : Develop and implement creative experiences, campaigns, apps, and digital products, leveraging generative AI technologies at their core. Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs, Base Foundation Models, Fine Tuned models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Generative AI Applications and Solutions. Minimum 2 years hands-on experience in working with Large Language Models Solid understanding of Transformer Models and how they work. Reasonable understanding of Diffusion Models and how they work. Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including GPT-4o, Gemini, Claude, Llama, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, including Azure OpenAI, AWS Bedrock, and/or GCP Vertex AI. Solid Hands-on Experience working with Enterprise RAG technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines. Solid Hands-on Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents. Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience in data preprocessing, and post-processing model / results evaluation. Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning LLM models at scale. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns, built on LLMs and Diffusion models. Nice-to-Have: Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant Show more Show less

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge AI models and systems for our clients. Your primary focus will be on driving innovation and leveraging generative AI techniques to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of AI technology. Job Description: Responsibilities : Develop and implement creative experiences, campaigns, apps, and digital products, leveraging generative AI technologies at their core. Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs, Base Foundation Models, Fine Tuned models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Generative AI Applications and Solutions. Minimum 2 years hands-on experience in working with Large Language Models Solid understanding of Transformer Models and how they work. Reasonable understanding of Diffusion Models and how they work. Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including GPT-4o, Gemini, Claude, Llama, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, including Azure OpenAI, AWS Bedrock, and/or GCP Vertex AI. Solid Hands-on Experience working with Enterprise RAG technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines. Solid Hands-on Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents. Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience in data preprocessing, and post-processing model / results evaluation. Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning LLM models at scale. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns, built on LLMs and Diffusion models. Nice-to-Have: Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant Show more Show less

You're not looking for another feature factory job. You want control of the architecture. Real product ownership. And the chance to build something technically ambitious, not just another CRUD app with a chatbot bolted on. This role gives you all of that. You'll lead engineering for a B2C app that teaches emotional intelligence (EQ) the way people learn hard skills: structured, measurable, and repeatable. It's a greenfield opportunity to define the tech stack, shape AI-powered feature design, and ship production-grade code. All without red tape, ceremony, or legacy constraints. You won't be doing sprint planning theater or filling in Jira tickets. You'll be solo-building with full autonomy, in a closed loop with growth. Your job is to turn product goals into a technical reality and then own the result, from the first commit to production release. This is where top 1% engineers go when they want full-stack control, direct user impact, and the mandate to move fast. What You Will Be Doing Building specs with clear scope, architecture, and delivery timelines Writing full-stack JavaScript code (React + Node.js) with AI integrations that are clean, fast, and production-ready Running tight test-deploy loops to get working features into users' hands quickly Owning features end-to-end What You Won’t Be Doing Attending alignment meetings to negotiate team dependencies or release cycles Working off of prescriptive task lists handed down from product managers Maintaining legacy codebases or spending time fixing minor bugs someone else created Full-Stack AI Engineer Key Responsibilities Deliver a new version of our EQ app by independently defining, building, and shipping high-quality user-facing features. Basic Requirements Proven ability to ship production-ready consumer software Full-stack JavaScript proficiency (React + Node.js) Fluency with modern AI tools/APIs (OpenAI, LangChain, etc.) Ability to translate UX/product goals into buildable architecture Comfortable working solo and owning end-to-end implementation Nice-to-have Requirements Experience building native iOS apps Background in personalization, content delivery, or educational products About Stealth Educational Startup We are a stealth educational startup in Austin, TX (center of educational innovation in US). We are building an online community focusing on the most underserved customer base in US education - gifted and talented kids. We are a remote first company who hires globally via Crossover. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $75 USD/hour, which equates to $150,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5614-IN-NewDelhi-FullStackAIEng Show more Show less

We are looking for a passionate and experienced Full Stack Developer to join our core product development team. This role is perfect for someone who has independently built or led full stack projects and has the leadership potential to guide other developers. If you're excited about AI tools like ChatGPT, Claude, GitHub Copilot, and Tabnine, and want to build smart, scalable web applications—this is the opportunity for you. Responsibilities:- Build and maintain full-stack web applications using React.js, Next.js, Node.js, and TypeScript Integrate AI models (OpenAI, Claude) and work on AI chat interfaces Use prompt engineering techniques to improve AI responses and user experiences Leverage AI-native tools like Cursor, Replit, Copilot, and Tannine to write and review clean, maintainable code Work with LangChain, AutoGen, or Manus frameworks for advanced AI workflows Collaborate with cross-functional teams including designers, backend developers, and AI engineers Actively participate in sprint planning and discussions with business stakeholders Optimize performance and scalability using best practices and modern DevOps tools Ship features quickly using platforms like Vercel, Supabase, Railway, and n8n Required Skills:- 5 years of hands-on experience in full stack development Strong proficiency in JavaScript, React, Next.js, Node.js, TypeScript Experience with AI APIs such as OpenAI and Claude Practical knowledge of prompt engineering and vector search concepts Familiarity with modern IDEs and AI coding assistants (GitHub Copilot, Tabnine, etc.) Experience working with PostgreSQL and deployment tools like Vercel and Railway Excellent problem-solving and communication skills Leadership qualities and the ability to mentor junior developers Tech Stack You’ll Use: Frontend: React, Next.js Backend: Node.js, Express Database: PostgreSQL (hosted or via Supabase) AI Tools: OpenAI, Claude, LangChain, AutoGen, Manus Dev Tools: GitHub, Cursor, Replit, GitHub Copilot, Tabnine Automation & DevOps: n8n, Railway, Vercel Why Join Us? Be at the forefront of real-world AI innovation Work on cutting-edge AI + web technology Join a talented, collaborative, and forward-thinking team Show more Show less

We are looking for a passionate and experienced Full Stack Developer to join our core product development team. This role is perfect for someone who has independently built or led full-stack projects and has the leadership potential to guide other developers. If you're excited about AI tools like ChatGPT , Claude , GitHub Copilot , and Tabnine , and want to build smart, scalable web applications, this is the opportunity for you. Responsibilities:- Build and maintain full-stack web applications using React.js , Next.js , Node.js , and TypeScript Integrate AI models (OpenAI, Claude) and work on AI chat interfaces Use prompt engineering techniques to improve AI responses and user experiences Leverage AI-native tools like Cursor , Replit , Copilot , and Tannine to write and review clean, maintainable code Work with LangChain , AutoGen , or Manus frameworks for advanced AI workflows Collaborate with cross-functional teams, including designers, backend developers, and AI engineers Actively participate in sprint planning and discussions with business stakeholders Optimize performance and scalability using best practices and modern DevOps tools Ship features quickly using platforms like Vercel , Supabase , Railway , and n8n Required Skills:- 5-6 years of hands-on experience in full-stack development Strong proficiency in JavaScript , React , Next.js , Node.js , TypeScript Experience with AI APIs such as OpenAI and Claude Practical knowledge of prompt engineering and vector search concepts Familiarity with modern IDEs and AI coding assistants ( GitHub Copilot , Tabnine , etc.) Experience working with PostgreSQL and deployment tools like Vercel and Railway Excellent problem-solving and communication skills Leadership qualities and the ability to mentor junior developers Tech Stack You’ll Use: Frontend: React, Next.js Backend: Node.js, Express Database: PostgreSQL (hosted or via Supabase) AI Tools: OpenAI, Claude, LangChain, AutoGen, Manus Dev Tools: GitHub, Cursor, Replit, GitHub Copilot, Tabnine Automation & DevOps: n8n, Railway, Vercel Why Join Us? Be at the forefront of real-world AI innovation Work on cutting-edge AI + web technology Join a talented, collaborative, and forward-thinking team Show more Show less

Dear Candidates Are you looking for opportunities ? If yes, read below to know more about an opportunity in Redserv (Redington Group), one of the leading Supply Chain Management organizations! Role hiring for: Artificial Intelligence Work Location : Guindy Experience : 2-4 Years Hands on experience in Python and AI/ML is must Mode : Work from office Notice : Immediate - 30 days Roles & Responsibilities: Develop and implement machine learning algorithms and models using Python. Design and develop Python-based applications. Build, maintain, and optimize scalable and efficient AI/ML systems that meet performance and accuracy standards. Collaborate with data scientists and domain experts to understand business needs and deliver AI/ML solutions addressing real-world challenges. Perform data preprocessing, feature engineering, and data transformation to prepare datasets for model training. Utilize deep learning frameworks like TensorFlow for model development and deployment. Stay updated with the latest AI/ML advancements and incorporate them into company projects. Fine-tune and optimize AI/ML models for enhanced performance and efficiency. Work closely with cross-functional teams to integrate AI/ML solutions into existing applications and systems. Conduct code reviews, ensure high code quality, and adhere to best coding practices. Debug and resolve issues in AI/ML systems promptly. Use DevOps practices to deploy and monitor AI/ML solutions in production environments. Location of the Interview No.5, RR Towers, 6th Floor, Plot No 33A, Thiru Vi Ka Industrial Estate, Guindy Chennai, Tamil Nadu 600032 (Next to Olympia Platina building) Date & Time: 10th June 2025 | 11.00 AM - 1 PM Documents to Carry for the Interview - Current updated Resume - Please carry your last 3 months pay slips Regards Team HR

AI Fullstack Engineer Experience: 4 - 9 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, Angular, AWS HurixDigital (One of Uplers' Clients) is Looking for: AI Fullstack Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Job Description Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Job Description Why Gainsight? We are ranked #1 on Glassdoor’s 2023 Best Place to Work List. Here’s why. At Gainsight, our mission is to be living proof you can win in business while being human-first. Our industry-leading platform helps companies of all sizes and industries build durable businesses. Gainsight offers a powerful set of customer success, product, and community engagement solutions that enable businesses to scale efficiently, create alignment, and have a holistic view of their customers—all of which help increase product adoption, prevent churn, and grow renewals and expansions. Our software is used by hundreds of companies, including nearly 200 publicly traded organizations and industry leaders such as GE Digital, SAP Concur, and Box. We have offices in the US, UK, Netherlands, Israel, Japan, and India. Gainsight joined the Vista Equity Partners portfolio in 2020. In 2021, we won their Excellence in Engineering award in recognition of our product and engineering advancements. Gainsight has also been named one of the top 100 private cloud companies in the world by Forbes, one of the fastest-growing private companies in America by Inc. Magazine, and one of 20 Great Workplaces in Tech by Fortune Magazine. With diversity and inclusion at the forefront of our values, we promote a culture that celebrates diversity and inclusiveness regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age. Job Summary Applied AI Engineer (Agentic Workflows, Model Routing) As an Applied AI Engineer specializing in Agentic Workflows and Model Routing, you will focus on orchestrating complex, multi-model AI systems that enable intelligent decision-making. Your work goes beyond selecting the right models—you will design and build adaptive AI agents that dynamically route tasks between different LLMs, APIs, and external data sources. This role requires deep expertise in agentic behavior design, multi-model coordination, and workflow optimization, ensuring that AI-driven agents can autonomously reason, select models, and handle complex decision trees. What You Will Do Evaluate and integrate orchestration frameworks (e.g., LangChain, LlamaIndex) to optimize model routing logic. Configure AI agents to intelligently select the best model for each query, leveraging GPT-4 for complex reasoning, Llama 2 for rapid responses, and Claude for nuanced understanding. Develop fallback and escalation mechanisms, ensuring tasks are reassigned to the appropriate model if an initial response lacks confidence or accuracy. Fine-tune multi-step agentic workflows that incorporate external APIs, retrieval-augmented data (RAG), and reflection prompts to ensure high-quality outputs. Monitor performance metrics and AI decision policies, continuously refining workflows based on real-world feedback and LLM evaluation metrics. Design AI-driven handoff strategies for seamless agent communication, error recovery, and reasoning enhancements. Implement dashboards and evaluation criteria to measure how agentic workflows evolve over time. Collaborate with AI researchers, engineers, and product teams to enhance autonomous agent capabilities in a real-world production environment. Who You Are: (Experience & Qualifications): 5–8+ years of experience in AI, Machine Learning, NLP, or AI Systems Engineering. 2–3+ years of hands-on experience building AI agents, designing model routing architectures, or working with multi-model AI orchestration. Expertise in agentic frameworks such as LangChain, LlamaIndex, CrewAI, or OpenAI function calling. Deep knowledge of LLM architectures (GPT-4, Claude, Llama 2, Mistral) and experience orchestrating multi-model decision workflows. Strong understanding of retrieval-augmented generation (RAG) and how to integrate vector databases into AI workflows. Experience designing self-assessment and reflection prompts that improve agent reasoning accuracy. Proficiency in Python, OpenAI SDK, Hugging Face, and cloud-based AI deployments. Strong grasp of LLM safety mechanisms, fallback strategies, and ethical AI development. Experience implementing evaluation dashboards and tracking model performance using AI metrics (win-rate comparisons, perplexity, response confidence). Bonus Skills (Nice to Have) Experience fine-tuning open-source LLMs for domain-specific use cases. Strong grasp of automated agent handoffs and escalation pathways. Familiarity with multi-agent AI research, including self-improving agent architectures. Knowledge of LLM caching, latency optimization, and efficient model-switching technique Why You’ll Love It Here Your job shouldn’t stand in the way of your happiness—it should be a path to achieve it. At Gainsight, we’re passionate about achieving our goals—at the office and everywhere—and we work every day to create an environment that nurtures our best selves. Gainsters love working here for several reasons. Here are a few: Our Core Values: We are guided by our values on our mission to be living proof you can win in business while being human-first. Learn more here. Our CEO: With a 99% approval rating on Glassdoor, Nick Mehta is one of the most beloved CEOs in Silicon Valley. Our Growth Opportunities: From mentoring to career development opportunities, we’re passionate about helping our Gainsters learn, grow and thrive. Our Teammate Resource Groups: A huge source of pride for Gainsight, these groups are on a mission to put our values into action and make Gainsight a great place to work for all. Our Wellness Priorities: Quarterly Recharge Days that re-energize us. Our Parody Videos: No explanation needed. Just watch them here! Job Description Summary By joining the Gainsight team, you’ll have a unique opportunity to make your mark at a truly human-first company and have loads of fun doing it. Come join us! Show more Show less

Overview: We are seeking a highly versatile Solution Architect to lead the design of innovative, scalable solutions across both traditional software and AI-powered platforms. The ideal candidate will be adept at understanding business problems, architecting technical solutions from the ground up, and estimating the cost and time to build those solutions. Key Responsibilities: Translate complex business problems into technical architecture and implementation plans Design end-to-end solutions involving software components, cloud infrastructure, data flows, and AI/ML models where relevant Identify trade-offs between build vs. buy, scalability, and time-to-market Analyze existing systems/platforms and estimate the cost, timeline, and resources required to rebuild or modernize them Work with cross-functional teams to develop detailed project plans and technical documentation Build quick proof-of-concepts or minimum viable products (MVPs) to test assumptions Run feasibility checks for AI/ML-based ideas using tools like OpenAI, Hugging Face, LangChain, or custom models Evaluate and benchmark third-party APIs, platforms, or tools for integration Stay updated on the latest in cloud platforms (AWS/GCP/Azure), software frameworks, and AI/ML technologies Act as a technical advisor to product and business teams, guiding them on the feasibility and implications of ideas Work closely with product managers, data scientists, engineers, and business stakeholders to align requirements and technical direction Support engineering and product teams during build, helping resolve architectural or design issues Prerequisites: Proven track record of designing and delivering scalable software solutions end-to-end Strong experience with cloud architecture (AWS/GCP/Azure), microservices, APIs, and full -stack development Exposure to AI/ML technologies — ideally including generative AI, NLP, or automation tools Hands-on ability to prototype solutions using Python, Node.js, or similar frameworks Deep understanding of system design principles, cost/performance optimization, and technical trade-offs Strong analytical and estimation skills — ability to break down a platform and assess rebuild timelines and cost Exceptional communication and storytelling ability — can clearly articulate tech ideas to non-tech stakeholder Preferred Qualifications: Bachelor’s degree in technology (B.Tech) or Master of Computer Applications (MCA) is required; MBA or MS preferred 7+ years of experience in software engineering, solution architecture, or technology consulting roles Experience working with LLMs, AI APIs (OpenAI, Claude, etc.), and orchestration tools like LangChain Prior experience in startups, innovation labs, or consulting firms a plus Exposure to DevOps, CI/CD, and infrastructure-as-code (e.g., Terraform) preferred Experience with vendor evaluations and RFP processes is a bonus Compensation: The compensation structure will be discussed during the interview Show more Show less

Location: Remote Job Type: Full-Time Job Overview Build and evolve an AI-native development experience , integrating tools like Copilot and Cursor. Design, prototype, and implement Vive-like AI collaboration features for developers. Work on intelligent assistants/agents that can collaborate on tasks, write code, and debug with you. Collaborate with researchers, product, and dev teams to shape how humans and AI build software together. Optimize for DX (Developer Experience) at every level: interface, latency, workflows. 🛠 Tech Stack & Tools We Love: Angular ionic, Node.js, TypeScript, React, TailwindCSS LLMs (OpenAI, Anthropic, etc.), LangChain, DeepEval GitHub Copilot, Cursor, VS Code Extensions PostgreSQL, Redis, WebSockets Experience or interest in agentic frameworks / Multi-Agent Collaboration Protocols (MCP) is a bonus. Angular Ionic + Angular AI editor (cursor) Love and quest are mandatory ✅ You Might Be a Fit If You: Are AI-native in your thinking — you view AI as your pair programmer, not just a tool. Have used or tinkered with Cursor, Copilot, Cody, or similar AI developer tools . Believe the IDE should be smarter, context-aware, and always assisting. Have experience building real-time, collaborative, or autonomous tools for de Thrive in fast-moving environments and enjoy building from scratch. Seniority Level Entry level Industry E-Learning Providers Employment Type Full-time Job Functions Information Technology Administrative Analyst Skills Microsoft Visual Studio Code GitHub Node.js Show more Show less

Looking for a highly versatile AI engineer who can manage data ingestion, tagging, and build an LLM-powered knowledge system end-to-end. Job Role- AI automation engineer Job Type- Part-time Work mode- Remote Responsibilities: Build a secure, centralized “data room” from files (emails, docs, drive folders, etc.) Clean, tag, and index documents using embeddings + vector database (e.g., Chroma) Implement a simple ChatGPT-style Q&A interface over the data Handle basic transcription + summarization for select video/audio Ensure compatibility across desktop, tablet, and mobile Prioritize privacy and human-in-the-loop validation Ideal Skills: LangChain or LlamaIndex, OpenAI/Gemini embeddings FastAPI or Node.js backend experience Dropbox / Google Drive API integrations Email + document parsing, metadata extraction Bonus: Streamlit or lightweight UI prototyping . Show more Show less

Job Title: AI Engineer Location: Remote Employment Type: Full-time About the Role: We are seeking a skilled and motivated AI Engineer to help us build intelligent, agentic systems that drive real-world impact. In this role, you will develop, deploy, and maintain AI models and pipelines - working with large language models (LLMs), vector databases, and orchestration frameworks like Langchain. You will collaborate across teams to build robust, scalable AI-driven solutions. Key Responsibilities- Design and develop intelligent systems using LLMs, retrieval-augmented generation (RAG), and agentic frameworks. Build and deploy AI pipelines using Langchain, vector stores, and custom tools.- Integrate models with production APIs and backend systems. Monitor, fine-tune, and improve performance of deployed AI systems.- Collaborate with data engineers, product managers, and UX designers to deliver AI-first user experiences. Stay up to date with advancements in generative AI, LLMs, and orchestration frameworks. Required Qualifications 2-5 years of experience in building and deploying machine learning or AI-based systems. Hands-on experience with Langchain in building agent workflows or RAG pipelines. Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Scikit-learn. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Strong understanding of prompt engineering, embeddings, and vector database operations (e.g., FAISS, Pinecone, Weaviate). Familiarity with MLOps tools such as MLflow, SageMaker, or Vertex AI. Preferred Qualifications Experience with large language models (e.g., GPT, Claude, LLaMA) and GenAI platforms (e.g., OpenAI, Bedrock, Anthropic). Background in NLP, RAG architectures, or autonomous agents. Experience in deploying AI applications via APIs and microservices. Contributions to open-source Langchain or GenAI ecosystems. Why Join Us? Remote-first company working on frontier AI systems. Opportunity to shape production-grade AI experiences used globally. Dynamic, collaborative, and intellectually curious team. Competitive compensation with fast growth pot Show more Show less

About Us: Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Job Summary: We are seeking an innovative and highly skilled AI Engineer to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.). Integrate NLP techniques and transformer architectures to boost customer’s product capabilities. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements. Write clean, efficient Python code while adhering to best practices in code quality and documentation. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members. Required Skills and Qualifications: Strong programming proficiency in Python for AI/ML projects. Hands-on experience with LLM frameworks such as LangChain or Haystack. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate). Deep understanding of NLP fundamentals and transformer models. Demonstrated experience with both commercial and open-source LLMs. Expertise in prompt engineering and embeddings. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration. Preferred Qualifications: Experience deploying GenAI applications at scale in production environments. Background in designing customer-facing AI solutions. Prior experience collaborating in hybrid or distributed teams. Show more Show less

Job Title: Machine Learning Engineer Job Type: Full-time, Contractor Job Summary: We are seeking an innovative and highly skilled Machine Learning Engineer to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.). Integrate NLP techniques and transformer architectures to boost customer’s product capabilities. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements. Write clean, efficient Python code while adhering to best practices in code quality and documentation. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members. Required Skills and Qualifications: Strong programming proficiency in Python for AI/ML projects. Hands-on experience with LLM frameworks such as LangChain or Haystack. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate). Deep understanding of NLP fundamentals and transformer models. Demonstrated experience with both commercial and open-source LLMs. Expertise in prompt engineering and embeddings. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration. Preferred Qualifications: Experience deploying GenAI applications at scale in production environments. Background in designing customer-facing AI solutions. Prior experience collaborating in hybrid or distributed teams. Show more Show less

Job Title: Full Stack Developer – AI Integration & Prompt Engineering Employment type: Full Time About the Role: We’re looking for a talented Full Stack Developer with strong JavaScript skills and hands-on experience integrating AI models like ChatGPT into web applications. If you’re passionate about AI, prompt engineering , and building intelligent, responsive web apps, this is the perfect opportunity. Key Responsibilities Build and maintain web applications using JavaScript frameworks (React.js, Node.js, Vue.js). Integrate AI/ML models and APIs (e.g., OpenAI) into scalable web applications. Design, test, and refine effective prompts to drive accurate and meaningful AI responses. Create smooth and responsive AI-driven user experiences , including chat interfaces. Optimize application performance, ensuring high responsiveness and scalability. Experiment with different prompting strategies to improve AI performance and user interaction. Collaborate closely with AI engineers, UI/UX designers, and backend developers to deliver cohesive features. Stay updated on the latest trends in AI/ML, NLP, and JavaScript frameworks . What We’re Looking For Strong experience with JavaScript, React, Redux, and TypeScript Proven ability to integrate AI APIs (e.g., OpenAI, GPT models) Hands-on experience in prompt engineering and AI model tuning Good understanding of Vector Search and AI application workflows Excellent English communication skills , both verbal and written Familiarity with frontend and backend web development best practices Why Join Us? Be at the forefront of AI innovation in real-world applications Work on exciting projects that merge web technology and artificial intelligence Collaborate with a passionate, forward-thinking team Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Ability to commute/relocate: Peelamedu, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI: 1 year (Preferred) Work Location: In person

Job Title: Conversational AI Engineer / NLP & LLM Integration Specialist Experience Required: 2–4 years About the Role We are seeking a highly motivated Conversational AI Engineer to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures. This is a hands-on, research-to-deployment role . You will play a key part in shaping the product’s intelligence and language capabilities — from designing conversation flows to building semantic search systems and custom logic engines. Key Responsibilities Design and implement AI-driven chatbots and Q&A systems using NLP and LLMs. Perform prompt engineering for LLMs like OpenAI, Claude, or open-source models. Handle Excel/CSV/JSON data parsing to structure domain-specific knowledge bases. Build and integrate information retrieval and semantic search features. Apply intent classification , category detection , and dialogue management techniques. Deploy and optimize backend services that serve AI responses through APIs. Collaborate closely with designers and product teams to build domain-aware, user-friendly conversations . (Optional) Integrate or build astrology-based models or rule-based prediction engines . Required Skills Strong experience in Natural Language Processing (NLP) . Familiarity with LLM integration , prompt engineering , and RAG architectures . Practical knowledge of Machine Learning / Deep Learning . Strong programming skills in Python . Experience working with structured and unstructured data (CSV, JSON, Excel). Familiarity with Conversational AI tools (e.g., Rasa, Dialogflow, or custom-built systems). Understanding of information retrieval, semantic search , and vector embeddings . Ability to write clean, production-ready code and deploy services using Flask/FastAPI . Solid understanding of user intent classification and conversational flow design. Preferred Qualifications Experience building chatbots , virtual assistants, or AI-driven user interfaces. Prior exposure to astrology or rule-based prediction engines (a plus but not required). Familiarity with knowledge graphs or domain-specific ontologies. Hands-on experience with vector stores (e.g., Pinecone , FAISS , Weaviate ) and embedding techniques. Ability to work independently and communicate ideas clearly and effectively. Job Type: Full-time Pay: ₹15,000.00 - ₹40,000.00 per month Benefits: Paid sick time Schedule: Day shift Experience: AI: 1 year (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

Company Description Discvr.ai (www.discvr.ai) is India's first AI search engine, emerging from stealth and recently launching our public beta! We're tackling information overload by building an intelligent search and research platform designed to deliver deep, reliable insights faster than traditional methods. Our platform features efficient web search, specialized deep research (like US equity analysis), AI report generation on any topic, and unique interactive AI articles. We're a fast-paced, early-stage startup based in Gurgaon, building cutting-edge technology with a global vision. Role Description We are seeking a AI Fullstack Engineer to join our core team. You will play a crucial role in designing, developing, and deploying key features across our entire platform, with a strong emphasis on integrating and leveraging AI capabilities. This is a unique opportunity to work at the intersection of AI, search technology, and user experience in a dynamic startup environment. CTC INR 6L/Annum Responsibilities Design, build, and maintain responsive and performant user interfaces using React/Next.js and UI frameworks like Shadcn UI. Develop robust backend services and APIs using Python. Integrate and manage various data stores including MongoDB, Redis, Neo4j (Graph DB), and Qdrant (Vector DB). Work closely with AI models: integrate third-party APIs, understand model usage patterns, and potentially assist in fine-tuning processes where required. Collaborate with the founder and potential future team members to define features and iterate quickly. Ensure the scalability, reliability, and security of the platform. Contribute to all phases of the software development lifecycle. Qualifications Experience: 3-6 years of professional experience in a fullstack development role. Frontend: Strong proficiency in JavaScript/TypeScript, React, and Next.js. Experience with state management and component libraries. Backend: Solid experience with Python and building RESTful APIs. Databases: Hands-on experience working with NoSQL databases (like MongoDB), caching systems (like Redis), and ideally exposure to vector databases (like Qdrant) and graph databases (like Neo4j). AI/ML Interest: Demonstrable understanding of AI/ML concepts, experience integrating AI APIs (e.g., Bedrock,OpenAI, Hugging Face), and a strong desire to work deeply with AI technologies. Fundamentals: Strong grasp of computer science fundamentals (data structures, algorithms). Problem Solver: Excellent analytical and problem-solving skills. Team Player: Good communication skills and ability to work effectively in a small team. Bonus Points (Preferred Qualifications): Prior hands-on experience specifically developing AI-powered applications or features. Experience with model fine-tuning concepts or tools. Familiarity with cloud platforms (AWS, GCP, Azure). Experience with UI libraries like Shadcn UI. Experience working in a fast-paced startup environment. Role Details & Culture: This is a demanding but rewarding role in an early-stage startup. We currently operate on a 6-day work week schedule, reflecting the fast pace required at this stage. Opportunity to work directly on core product features and have a significant impact. Work with cutting-edge AI technology and a modern tech stack. Learn and grow rapidly in a dynamic environment. Location: Based out of Gurgaon, India. Hybrid work or fully remote arrangements are possible for the right candidate. Equal Opportunity: Discvr.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Show more Show less

Why Patients Need You The Revenue Management (RM) Digital Solutions team manages technology strategy and delivery for the Pfizer’s Commercial Business Units, the Global Access and Value (GAV) organization and Pfizer Commercial Finance teams. The team plays a critical role in ensuring Patients can easily access Pfizer’s breakthrough medicines through contracting opportunities with Payer and Providers. What You Will Achieve This role will be responsible to configure, maintain and enhance strategic technology platforms and related reporting dashboards that support market access pre-deal analytics, post-deal analytics and broader performance reporting. These web-based tools are used by Market Access Strategy, Pricing and Analytics (MASPA) teams that are responsible for payer and provider contract analytics. The candidate will be accountable for finding the most effective ways for technology to support Pfizer’s business objectives in these domains and optimize the return on all technology investments. The ideal candidate would be someone with strong technical skill on Data management tools, Data Architecture, data profiling/quality tools, AWS services, Tableau, Snowflake, Informatica Cloud Services, Dataiku AI/ML tools. This role will work closely with functional and technical leads and become a subject matter expert with solutions to identify, develop, and deploy processes and reporting. The role will lead Deal Analytics data integration, create analytic solutions, and utilize data prep and visualization platforms. How You Will Achieve It Evaluates and implements solutions to meet business requirements, ensuring consistent usage and adherence to data management best practices. Collaborates with product owners to prioritize features and manage technical requirements based on business needs, new technologies, and known issues. Develops application design and documentation for leadership teams. Assists in defining the vision for the shared data model, including sourcing, transformation, and loading approaches. Manages daily operations of the team, ensuring on-time delivery of milestones. Accountable for end-to-end delivery of program outcomes within budget, aligning with relevant business units. Fosters collaboration with internal and external stakeholders, including software vendors and data providers. Works independently with minimal supervision, capable of making recommendations. You will have the opportunity to: Demonstrate a solid ability to tell a story with simplistic views of complex datasets. Deliver data reliability, efficiency, and best-in-class data governance, ensuring security and compliance. Will be an integral part of developing best-in-class solution for the GAV organization. Build dashboard and reporting proofs of concept as needed; develop reporting and analysis templates and tools. Work in close collaboration with business teams throughout MASPA (Market Access Strategy Pricing and Analytics) to determine tool functionality/configuration and data requirements to ensure that the analytic capability is supporting the most current business needs. Partner with the Digital Client Partners to align on priorities, processes and governance and ensure experimentation to activate innovation and pipeline value. Qualifications Must-Have Bachelor’s degree in computer science, Software Engineering, or engineering related area. 5+ years of relevant experience emphasizing data modeling, development, or systems engineering. 1+ years with a data visualization tool (e.g. Tableau, Power BI). 2+ Years of experience in any number of the following tools, languages, and databases: (e.g. MySQL, SQL, Aurora DB, Redshift, Snowflake). Demonstrated capabilities in integrating and analyzing heterogeneous datasets; Ability to identify trends, identify outliers and find patterns. Demonstrated expertise and capabilities in matrixed, cross-functional teams and influencing without authority. Proven experience and demonstrated skills with AWS services, Tableau, Airflow,Python and Dataiku. Must be experienced in DevSecOps tools JIRA, GitHub. Experience in Database design tools. Deep knowledge of Agile methodologies and SDLC processes. Excellent written, interpersonal, and oral communication skills, communicate and liaise broadly across functions and the global organization. Strong analytical, critical thinking, and troubleshooting skills. Ambition to learn and utilize emerging technologies while working in a stimulating team environment. Nice-to-Have Advanced degree in Computer Engineering, Computer Science, Information Systems or related discipline. Knowledge with GenAI and LLMs framework (OpenAI, AWS). US Market Access functional knowledge and data literacy. Statistical analysis to understand and improve possible limitations in models. Experience in AI/ML frameworks. Pytest and CI/CD tools. Experience in UI/UX design. Experience in solution architecture & product engineering. Organizational Relationships Global Access and Value Organization Market Access Strategy, Pricing and Analytics Channel Management, Contract Operations Trade Operations Government Pricing Managed Markets Finance Vaccines Business Unit Leadership Commercial Leaders for newly launched brands AIDA Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech Show more Show less

About GradRight GradRight is the world’s first SaaS ecosystem that brings together students, universities and financial institutions on one platform. It enables students to find and fund high return college education, universities to engage and select the best-fit students and banks to lend in an effective and efficient manner. Our vision is to be the world’s leading Ed-Fin Tech company dedicated to making higher education accessible and affordable to all. We have enabled 250,000+ students to get the best deals on $ 4+ Billion of loan requests and facilitated disbursements of more than $ 450+ Million in loans. We enable 50+ universities across US, Europe, Canada to develop their brand in India, attract the right students to apply and enroll for their Graduate programs. It has commenced a new business line of marketing, enrolling and managing the Online Programs for its university partners. Founded in 2019, GradRight has offices across Hyderabad, Gurgaon, Bangalore, Delhi and Washington DC . GradRight’s team possesses extensive domestic and international experience in the launch and scale-up of premier higher education institutions like Ashoka, Krea and Plaksha University. It is led by alumni of IIT Delhi, ISB Hyderabad and BITS Pilani and University of Pennsylvania. GradRight is also the winner of the HSBC Fintech Innovation Challenge supported by the Ministry of Electronics & IT, Government of India. At GradRight, we are transforming how students explore and access higher education abroad using technology and data. We're building smart, AI-powered tools that help match students to the best-fit universities and financial options. Join us to shape the future of student decision-making. Role Overview We're looking for an AI Developer who can design, build, and optimize intelligent systems like voicebots / chatbots, and recommend agents using state-of-the-art AI models and APIs. You should be comfortable working with foundation models (OpenAI, Gemma 3.0, DeepSeek R1, etc.), embeddings, vector databases, and building end-to-end AI applications that serve real users. Key Responsibilities Design and implement AI-powered systems using APIs such as OpenAI (GPT-4), Gemma 3.0, Claude, DeepSeek R1, etc. Build and fine-tune bots (chat, voice, or hybrid) that can understand and respond intelligently in natural language. Use vector databases (e.g., Pinecone, Weaviate, Qdrant, ChromaDB) to implement RAG (Retrieval-Augmented Generation) pipelines. Generate and use embeddings to enhance semantic search, personalization, or recommendation engines.Integrate AI modules into backend systems (Python/NodeJS preferred), web apps, or mobile apps. Optimize model calls and prompt engineering for cost, latency, and performance.Continuously evaluate emerging AI models and tools to keep our stack cutting-edge. Work closely with product and data teams to ship AI features with real impact. Required Skills & Experience Solid experience building AI-powered applications or bots using OpenAI / Claude / Gemini / DeepSeek or open-source LLMs. Proficiency with embeddings and semantic search use cases.Hands-on experience with vector databases like Pinecone, Weaviate, or Qdrant.Familiarity with LLMOps concepts and prompt engineering. Strong coding background in NodeJS (preferred) or Python.Comfortable working with REST APIs and building end-to-end pipelines.Experience deploying and monitoring AI systems in production. Nice-to-Have Experience with LangChain/LlamaIndex/Haystack.Prior work with open-source models (Gemma, Mistral, Ollama, etc.). Exposure to CI/CD, Docker, and cloud platform (AWS). Show more Show less

Since launching in 2021, Bigtoe has been on a mission to revolutionize the wellness industry by making high-quality massage and yoga services more accessible than ever. We serve individuals, hotels, events, and companies with a tech-driven experience that empowers wellness professionals to focus on what they do best — delivering healing. We’ve grown our provider network to over 8,000 licensed professionals, and in the past year alone, quadrupled our revenue. With operations spanning over 25 cities, we’re now building intelligent systems to enhance our support, optimize operations, and improve client experience. Description We’re looking for a part-time AI Consultant to lead the development and implementation of AI-powered solutions — starting with a support chatbot and evolving toward more advanced internal automation. This is a hands-on consulting role: you’ll not only guide architecture and tool choices, but also help us ship working systems. Responsibilities Lead the strategy, architecture, and MVP implementation of a chatbot for provider support Escalates appropriately to human support Support expansion into client-facing AI (e.g., booking assistant, availability nudging) Propose and help implement AI-driven internal tools NLP interfaces for ops and support staff Collaborate directly with the founder and product/engineering team Qualifications Proven experience with chatbot development (OpenAI, Anthropic, or open-source frameworks) Strong grasp of LangChain, RAG pipelines, vector embeddings, and prompt engineering Fluency in Python Ability to assess existing infrastructure and propose right-sized solutions Solid understanding of MySQL, REST APIs, and data workflows Excellent communication and consultative skills — we value initiative and clarity Show more Show less