819 Llms Jobs - Page 9

As a Mid-Level AI Engineer (Backend & NLP) at South Guild Tech in Coimbatore, you will be an integral part of our team focused on building AI platforms that revolutionize enterprise workflows in industries such as healthcare, audit, and industrial automation. Your role will involve developing advanced AI-driven applications, utilizing state-of-the-art NLP models, and enhancing retrieval systems to enable intelligent automation at a large scale. You will contribute to the creation of the next generation of AI-powered knowledge automation tools, AI agents, and scalable backend systems. Your responsibilities will include designing and developing AI-driven retrieval systems, working on Natural Language Processing (NLP) and AI engineering tasks, developing scalable backend architectures for AI applications, managing data engineering processes, and orchestrating AI agent development. At South Guild Tech, we are dedicated to AI-first innovation, emphasizing cutting-edge LLM applications, knowledge automation, and intelligent retrieval systems. We prioritize security and scalability in our self-hosted AI platforms and foster a deep engineering culture that tackles challenging problems in AI, backend infrastructure, and distributed computing. Moreover, you will witness the real-world impact of your AI solutions in powering healthcare, finance, and industrial automation sectors. To be successful in this role, you should possess a strong understanding of retrieval methods ranging from traditional search techniques to vector-based retrieval, hands-on experience with LLMs, embeddings, and transformer-based models, proficiency in Python and backend development frameworks, familiarity with AI agentic frameworks, and knowledge of SQL & NoSQL databases. Additionally, you should be skilled in data processing pipelines, ETL workflows, and real-time data integration, capable of solving complex AI problems, and ideally have research/publications in NLP, AI retrieval, or related fields. Joining South Guild Tech means being part of a team that is not just building AI but engineering the future of enterprise AI automation. If you are passionate about AI innovation, backend development, NLP, and want to work on impactful projects that shape the future of various industries, we encourage you to apply and be a part of our dynamic team in Coimbatore.,

You are a visionary and hands-on Gen AI Architect responsible for leading the design, development, and deployment of cutting-edge Generative AI and Agentic AI solutions within the Retail domain. Your role is crucial in shaping the AI strategy, creating innovative offerings, and ensuring client success through impactful PoCs and solutions. Working closely with the CTO and Retail strategy office, you will define the AI roadmap, manage a team of engineers and architects, and represent the company in client engagements and industry forums. Your key responsibilities will include architecting and leading the development of GenAI and Agentic AI solutions customized for retail use cases such as personalized shopping, intelligent agents, and supply chain optimization. You will collaborate with the CTO to define AI strategy, develop solution blueprints, and create innovation roadmaps. Additionally, you will design and build scalable PoCs, MVPs, and production-grade solutions using state-of-the-art GenAI tools and frameworks. Leading and mentoring a team of engineers and architects, you will cultivate a culture of innovation, quality, and continuous learning. Engaging with clients, you will present PoVs, conduct workshops, and communicate the value of GenAI solutions through compelling storytelling and technical depth. By ensuring Engineering Excellence, you will implement best practices in TDD, BDD, DevSecOps, and microservices architecture. Your required skills and experience include expertise in AI/ML & GenAI, with proven hands-on experience in LLMs, GenAI frameworks, Agentic AI tools, vector databases, prompt engineering, RAG pipelines, and orchestration. In terms of Engineering & Architecture, you should have a strong background in Java Spring Boot, REST APIs, Microservices, Cloud platforms, CI/CD, DevSecOps, TDD/BDD, and containerization. Leadership & Communication skills are essential, with the ability to convey complex AI concepts to technical and non-technical audiences through exceptional storytelling and articulation. Experience in client-facing roles, workshops, demos, and executive presentations is valuable. Being able to lead cross-functional teams and drive innovation in a fast-paced environment is a key requirement. Preferred qualifications include a Bachelors or Masters degree in Computer Science, AI/ML, or related field, certifications in AI/ML and Cloud (GCP or Azure), and experience in the Retail domain or consumer-facing industries. Joining this role will allow you to be at the forefront of AI innovation in Retail, work with a visionary leadership team, build solutions that impact Cognizant's Retail clients, and enjoy a collaborative, inclusive, and growth-oriented culture.,

Value Health Inc. is a rapidly growing Life Sciences Consulting, Digital Transformation, and Productized Services company that collaborates with Fortune 500 companies worldwide. With a focus on Healthcare and Life Sciences, we leverage cutting-edge technologies to deliver innovative solutions. As the Head of Product Development at Value Health Inc, you will play a pivotal role in leading the strategy, design, and execution of AI-powered products. Your responsibilities will include defining and executing the Gen AI product roadmap, overseeing the development and deployment of AI solutions, managing a team of researchers and engineers, staying abreast of AI advancements, collaborating with cross-functional teams, ensuring technical oversight, and maintaining a customer-centric approach. Your qualifications should include a Masters in computer science, AI/ML, Data Science, or a related field, along with 10+ years of experience in product development, with a focus on AI/ML. You should have expertise in Generative AI technologies, hands-on experience with AI/ML frameworks, and a proven ability to scale AI solutions from concept to production. Strong leadership, communication, and stakeholder management skills are essential, along with experience in a fast-paced, agile environment. Preferred skills include experience with cloud platforms for AI deployment, knowledge of MLOps best practices, exposure to ethical AI frameworks, and an understanding of UI/UX considerations in AI-driven products. At Value Health Inc, you will thrive in a dynamic growth environment, have the freedom to unleash your creativity, make impactful decisions, and engage in continuous learning opportunities. If you are seeking a workplace where your potential aligns with purpose, Value Health Inc offers a customer and employee-friendly culture that values growth and collaboration. Join us on a journey towards professional fulfillment and be part of a team where your contributions make a difference. Visit our website to learn more about us: https://valuehealthai.com/,

The Data and Artificial Intelligence team in Microsoft's Developer Division, part of newly formed CoreAI group, is working on the future of AI for Developers! We are a diverse, entrepreneurial and multi-disciplinary group of scientists, researchers and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot, VS Code, Visual Studio and other Microsoft Copilots. We are seeking a Principal Data & Applied Science Manager to lead high-impact projects at the intersection of AI and software engineering. In this role, you will drive the development and application of advanced data science techniques-especially those involving LLMs-to real-world developer workflows. You'll collaborate closely with data scientists, engineers, researchers, and product teams across Microsoft and GitHub to shape the next generation of AI-powered developer workflows . You will have the opportunity to design and lead experiments, build and evaluate state-of-the-art models (including RAG pipelines , finetuning and evaluation frameworks), and guide your team in turning insights into scalable product features. Most importantly, you'll play a key role in bridging cutting-edge research and production, using data to inform decisions, drive iteration, and deliver measurable impact at scale. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

The Data and Artificial Intelligence team in Microsoft's Developer Division, part of newly formed CoreAI group, is working on the future of AI for Developers! We are a diverse, entrepreneurial and multi-disciplinary group of scientists, researchers and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot, VS Code, Visual Studio and other Microsoft Copilots. We are seeking a Principal Data & Applied Scien tist to work on groundbreaking and high-impact projects at the intersection of AI and software engineering. In this role, you will drive the development and application of advanced data science techniques-especially those involving LLMs-to real-world developer workflows. You'll collaborate closely with data scientists, engineers, researchers, and product teams across Microsoft and GitHub to shape the next generation of AI-powered developer workflows . You will have the opportunity to design and lead experiments, build and evaluate state-of-the-art models (including RAG pipelines , finetuning and evaluation frameworks), and turn insights into scalable product features. Most importantly, you'll play a key role in bridging cutting-edge research and production, using data to inform decisions, drive iteration, and deliver measurable impact at scale. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond .

The Data and Artificial Intelligence team in Microsoft's Developer Division, part of newly formed CoreAI group, is working on the future of AI for Developers! We are a diverse, entrepreneurial and multi-disciplinary group of scientists, researchers and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot, VS Code, Visual Studio and other Microsoft Copilots. We are looking for a passionate and growth-oriented Senior Applied Scientist to join our team working on high-impact projects at the intersection of AI and software engineering . As an Applied Scientist, you will play a pivotal role in development and application of advanced data science techniques-especially those involving LLMs-to real-world developer workflows. You'll collaborate closely with data scientists, engineers, researchers, and product teams across Microsoft and GitHub to shape the next generation of AI-powered developer workflows . You will have the opportunity to design and lead experiments, build and evaluate state-of-the-art models (including RAG pipelines , finetuning and evaluation frameworks), turning insights into scalable product features. Most importantly, you'll play a key role in bridging cutting-edge research and production, using data to inform decisions, drive iteration, and deliver measurable impact at scale. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

The Data and Artificial Intelligence team in Microsoft's Developer Division, part of newly formed CoreAI group, is working on the future of AI for Developers! We are a diverse, entrepreneurial and multi-disciplinary group of scientists, researchers and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot, VS Code, Visual Studio and other Microsoft Copilots. We are looking for a passionate and growth-oriented Applied Scientist II to join our team working on high-impact projects at the intersection of AI and software engineering . As an Applied Scientist, you will play a pivotal role in development and application of advanced data science techniques-especially those involving LLMs-to real-world developer workflows. You'll collaborate closely with data scientists, engineers, researchers, and product teams across Microsoft and GitHub to shape the next generation of AI-powered developer workflows . You will have the opportunity to design and lead experiments, build and evaluate state-of-the-art models (including RAG pipelines , finetuning and evaluation frameworks), turning insights into scalable product features. Most importantly, you'll play a key role in bridging cutting-edge research and production, using data to inform decisions, drive iteration, and deliver measurable impact at scale. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

You are a skilled and innovative AI Developer with hands-on experience in OpenAI APIs, HuggingFace Transformers, and prompt engineering. Your main responsibility will be to design, develop, and deploy intelligent systems for text, image, and code generation by utilizing modern AI technologies and large language models (LLMs). In this role, you will play a crucial part in constructing conversational agents, generative pipelines, and integrating AI into real-world web applications. You will be tasked with utilizing OpenAI APIs such as ChatGPT and DALLE for advanced natural language and image generation tasks. Additionally, you will implement and fine-tune pre-trained models using HuggingFace Transformers. Your role will involve designing optimal prompts for LLMs to enhance model output accuracy and relevance. You are expected to develop and integrate embedding-based search systems employing OpenAI Embeddings, FAISS, or Pinecone. Moreover, you will be responsible for building scalable content generation pipelines for text, image, and code automation. Your tasks will also include fine-tuning of LLMs using LoRA, PEFT, and HuggingFace Trainer APIs, applying NLP techniques with tools like spaCy, NLTK, and Transformers, and developing intelligent chatbots using platforms like Rasa, Dialogflow, or Microsoft Bot Framework. You will integrate AI solutions into web applications using React.js and manage user session and context flow to provide personalized and coherent conversational experiences. Additionally, you will handle data preprocessing using Pandas, regex, and custom scripts, and utilize scikit-learn, XGBoost, and LightGBM for classical ML tasks when necessary. For this role, you are required to hold a Bachelors or Masters degree in Computer Science, AI, Data Science, or a related field. You should have proven experience with OpenAI GPT-based models and image generation APIs, expertise in Prompt Engineering and model behavior optimization, as well as solid experience with embedding-based search and vector databases. Strong command over React.js and JavaScript for frontend-AI integration, a good understanding of ML frameworks and model deployment workflows, and excellent communication and problem-solving skills are essential. Preferred qualifications include experience deploying AI models in production environments, familiarity with LangChain or similar LLM orchestration tools, and previous work on projects involving Generative AI, conversational AI, or custom LLM training.,

As a candidate for this position, you should hold a Bachelor's, Master's, or PhD degree in Computer Science, Artificial Intelligence, Data Science, or a related field, with a strong knowledge base in AI and machine learning technologies. You must have a minimum of 3 years of practical experience in the development and implementation of AI models, focusing on GPU-accelerated computing and LLMs. Your expertise should encompass various AI and machine learning technologies, including but not limited to TensorFlow, PyTorch, CUDA, and machine learning libraries optimized for GPU. A solid background in NLP, computer vision, predictive analytics, and other AI disciplines that enhance user experience and business intelligence is essential for this role. In addition to technical skills, you should possess exceptional leadership and communication abilities to effectively collaborate with team members and stakeholders. This is a full-time, permanent position with a day shift from Monday to Friday. Preferred experience includes a total of 2 years in the field, specifically with GenAI, ChatBots, RAG, GPU, and LLM. The work location is in person.,

NTT DATA is looking for an AI Data Scientist - Digital Engineering Sr. Engineer to join their team in Hyderabad, Telangana (IN-TG), India. As an AI Data Scientist, your primary focus will be on Generative AI & LLMs. You will be responsible for designing and developing AI/ML models, specifically concentrating on LLMs such as GPT, LLaMA, Mistral, Falcon, and Claude. Your role will involve applying engineering techniques like fine-tuning and transfer learning to customize models for enterprise use cases. Additionally, you will work with vector databases and retrieval-augmented generation (RAG) pipelines for contextual response generation. Collaboration is key in this role, as you will work closely with data engineers, AI Engineers, and MLOps teams to deploy models in production environments. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. They are committed to helping clients innovate, optimize, and transform for long-term success. With experts in over 50 countries and a robust partner ecosystem, NTT DATA provides a wide range of services including business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. As one of the leading providers of digital and AI infrastructure globally, NTT DATA is part of the NTT Group, investing over $3.6 billion annually in R&D to support organizations and society in confidently transitioning into the digital future. If you are an exceptional, innovative, and passionate individual looking to be part of an inclusive and forward-thinking organization, apply now to join NTT DATA.,

As an experienced professional with 4-7 years of experience, you have the opportunity to join our team in Warsaw, Poland, working in a hybrid mode. At Wipro, we pride ourselves on providing a holistic portfolio of capabilities to support our clients in realizing their boldest ambitions and building future-ready, sustainable businesses. We believe in offering freedom for every individual to learn, grow, and create a career path within our organization of opportunities beyond boundaries. In this role, you will be responsible for designing and implementing backend systems to support Generative AI workflows and services. Your tasks will include developing microservices and APIs that integrate with GenAI models, building scalable infrastructure for deploying LLMs and AI pipelines in production environments, creating and maintaining data pipelines for GenAI use cases, and participating in architecture reviews focused on optimizing system performance. Your mandatory skills should include expertise in GenAI, LLMs, RAG, Python, Java or Scala, REST APIs, Kafka, and cloud platforms such as AWS or Azure. Additionally, desired skills in Docker, Kubernetes, CI/CD, Git, and exposure to prompt engineering, embeddings, or AI-based toolchains are preferred. To excel in this role, you should have a total of 5+ years of experience in IT, with at least 1 year of hands-on experience with GenAI technologies. Strong programming skills in Python, Java, or Scala are essential, along with a solid foundation in software design principles, testing, and version control. Experience with microservices, REST APIs, Kafka, and cloud platforms is highly valued, especially with exposure to secure, low-latency architectures. If you are passionate about GenAI/Agentic AI systems and comfortable working in AI-first environments, this role offers the opportunity to collaborate with AI/ML engineers, write technical documentation, and optimize GenAI applications. Your ability to debug, profile, and optimize GenAI applications will be crucial in contributing to the success of the projects you will be working on. Wipro IT Services Poland Sp. z o.o. adheres to the Internal Reporting and Whistleblower Protection Regulations. Should you have any concerns or wish to submit internal reports, you can do so through various channels including email, the internet, or by post/courier to Wipro's registered office. Join us at Wipro and be a part of an organization that values diversity, innovation, and continuous learning. Your expertise and skills will be instrumental in shaping the future of AI technologies and contributing to the success of our clients" businesses.,

As an AI Engineer, your primary responsibility will be to architect, develop, and deploy advanced AI solutions that incorporate Machine Learning, Generative AI, NLP, and LLMs. It is crucial to stay updated on the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, and Vector Databases. Your role will also involve streamlining data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration for optimizing business outcomes. Collaboration with cross-functional teams, including business units, accounts teams, researchers, and engineers, will be essential to translate business requirements into actionable AI solutions. You must exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models. Identifying and mitigating potential risks related to AI and LLM development and deployment, while emphasizing data trust and security, will also be part of your responsibilities. Moreover, you will contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning. This role is based in a lab environment and requires hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic and demanding setting. To qualify for this position, you should have a minimum of 2 years of hands-on experience in developing and deploying AI solutions, with a proven track record of success. A Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience) is required. Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architectures, algorithms, and training methodologies, is essential. Additionally, you should have an understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning. Familiarity with best practices for large model deployment, monitoring, management, and scalability is crucial. Experience with Azure Cloud services, strong communication, collaboration, problem-solving abilities, and a commitment to ethical AI practices and security standards are also necessary. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc., along with hands-on experience with ML frameworks, libraries, and third-party ML models, is expected. Expertise in building solutions using AI/ML/DL open-source tools and libraries, strong analytical and problem-solving skills, the ability to write optimized and clear code, and address complex technical challenges effectively are important qualities for this role. Being self-motivated, a fast learner, with a proactive approach to learning new technologies, proficiency in data analysis and troubleshooting skills, and experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous, are also required. A minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus, and good knowledge of Azure AI/Cognitive Services tools are additional qualifications for this position.,

You will be a highly skilled and detail-oriented AI Trainer with strong English proficiency and previous experience in training AI models or related roles. Your responsibilities will include annotating data, generating high-quality prompts and responses, and ensuring linguistic and contextual accuracy to help enhance AI language model performance. Your main duties will be to create, review, and refine datasets to train AI models, provide feedback on AI-generated content for grammar, tone, and context, design and evaluate prompts for various use cases, and collaborate with the AI team to improve training methodologies. The ideal candidate for this position will have proven experience as an AI Trainer, Data Annotator, Language Specialist, or similar role, excellent command of English (written and verbal), strong analytical skills, attention to detail, ability to work independently, and meet deadlines. Preferred qualifications include experience with NLP, LLMs, or generative AI tools, and a background in content writing, linguistics, or language teaching. This is a full-time, permanent position with benefits such as cell phone reimbursement, health insurance, and Provident Fund. The work schedule is during the day shift, and the ability to commute/relocate to Thiruvananthapuram, Kerala is preferred. Proficiency in English is required, and work will be in person.,

The company is looking for a Lead AI Engineer with over 8 years of experience to drive AI initiatives, innovate, and create scalable AI/ML solutions. As a Lead AI Engineer, your responsibilities will include developing enterprise-scale AI/ML solutions, leading cutting-edge AI methodologies, collaborating with stakeholders to align AI strategy with business goals, optimizing model performance, establishing best practices for AI development, exploring new AI techniques, managing and mentoring a team of AI engineers, and presenting insights to leadership teams. You should have a Masters or Ph.D. in Computer Science, AI, Machine Learning, or a related field, along with at least 8 years of experience in AI, ML, and deep learning. Proficiency in LLMs, Generative AI, NLP, and multimodal AI is required, as well as expertise in Python, R, Java, and AI/ML frameworks like TensorFlow, PyTorch, or Hugging Face. Experience with cloud-based AI solutions, MLOps, and scalable architectures is essential. Strong leadership, communication, and stakeholder management skills are also necessary. Preferred skills include experience in multi-agent systems, federated learning, AI ethics, computer vision, reinforcement learning, and AI automation. Contributions to AI research, patents, or publications are a plus. The company offers perks such as flexible timings, 5 days working week, a healthy work environment, celebrations, opportunities to learn and grow, building a community, and medical insurance benefits.,

As the IS DevOps & Data Quality Engineer at ABB, you will play a crucial role in designing, developing, and maintaining robust data solutions and automated workflows to enhance insights into data quality. Your primary focus will be to ensure consistency between source and target systems, optimizing data processes within the A3 platform to guarantee accuracy, completeness, and reliability of data. Collaborating closely with source teams, architects, and developers, you will establish, monitor, and improve data quality standards. Your responsibilities will include designing, developing, and optimizing SQL queries and database solutions, as well as working extensively with Snowflake for data warehousing and cloud-based data solutions. You will also be responsible for developing and integrating data pipelines using Azure Data Factory (ADF) and implementing API-based integrations for seamless data flow across systems. In this role, you will automate data processes and workflows to enhance efficiency and reduce manual efforts. Additionally, you will ensure data quality reporting, identify anomalies, maintain high data integrity, and explore AI-driven solutions for data analysis and automation. Troubleshooting issues related to data pipelines and automation processes will be part of your responsibilities, requiring close collaboration with cross-functional teams including data analysts, engineers, and business stakeholders. To qualify for this role, you should hold a Bachelor's or Master's degree in fields such as Computer Science, Business Administration, Information Systems, or Business Analytics. Proficiency in developing custom automation tools and applications using C# and Python, along with extensive experience in Data Integration, Solution Architecture, Software development, Data Governance, and Quality Assurance is essential. Strong skills in DevOps, Azure Solutions Architect, SQL, Snowflake, ADF, Monitoring Tools, and Data Ingestion Metrics are also required. Your ability to collaborate cross-functionally, drive continuous improvement, and automate processes will be crucial in this position. Join us at ABB and be part of a team dedicated to addressing global challenges, driven by core values of care, courage, curiosity, and collaboration. Together, let's empower everyone to create sustainable solutions and write the next chapter of your ABB story.,

Title: AI Application Engineer (Client Facing) Job Description Ushur delivers the worlds first Customer Experience Automation platform built specifically for regulated industries. Purpose-built for delivering ideal self-service, Ushur infuses intelligence into digital experiences for the most delightful and impactful customer engagements. Equipped with guardrails and compliance-ready infrastructure, Ushur powers vertical AI Agents for healthcare, financial services and insurance use cases. Designed for rapid code-less deployment with flexible, advanced capabilities for IT and business teams, enterprises can transform customer and employee journeys at scale in the fastest time to value. Experience: 5-8 Years Location: Bangalore Work Mode: Hybrid The Role Ushur is seeking an AI Application Engineer to join a high-impact team to build our AI-powered language intelligence, conversational automation and document intelligence stacks. We are looking for a technically strong engineer who develops ML applications, works with our existing AI/ML stack and also interfaces with our customers on a regular basis. This role requires frequent interactions with customers and prior experience directly working with customers on a regular basis is a must-have for this profile. Responsibilities Design, Develop and support AI/ML powered solutions for enterprises based on the Ushurs ExperienceOS micro-engagement Platform. Work closely with the Ushur AI Lab team to design and implement LLM-powered, multi-skilled AI agents around intelligent document processing and conversational AI applications. Collaborate with the team of talented engineers involved in various disciplines around the product including Architects, Developers, Testers and Machine Learning Engineers. As part of this role, your responsibilities will include client interaction to identify high-level requirements and translate them into detailed solutions. You will leverage various ML models and agents within Ushur LLM stack to deliver compelling digital experiences Work with DevOps, QA and other teams to deliver programs successfully. Support technical enablement sessions to educate our customers/Solution Consultants about the various AI capabilities within the Ushur platform. Qualifications Bachelors/Masters degree in Computer Science, Statistics or related technical field. 2+ years of experience in Natural Language Processing (NLP) domain 2+ years of experience in directly working with customers, interfacing with customers on a regular basis and being willing to lead conversations with customers Strong programming skills in Python or Java and experience with contemporary ML frameworks (Pytorch, Tensorflow) Must have worked with LLMs, Prompt engineering, prompt tuning and have ability to work with LLMs on a daily basis to solve customers problems. Excellent verbal and written communication skills Nice-to-haves M.S in Applied Math/Computer Science or other Data science related disciplines Prior experience with training customers on the features developed by the team Why Join Us Thriving Company Culture: At Ushur, we foster a values-driven culture that prioritizes respect, inclusion, and collaboration. We empower every individual to thrive, contribute innovative ideas, and make a meaningful impact in a supportive and dynamic environment. Bring Your Whole Self to Work: We celebrate diversity and believe that innovative ideas thrive in an inclusive environment where every team member is valued. As a dynamic start-up, we recognize that every individual makes a significant impact. Rest and Recharge: We encourage work-life balance with 20 days of flexible paid time off annually. Your well-being matters, and we make space for it. Comprehensive Health Benefits: Your health is a priority. We provide preventive health check-ups, medical insurance coverage for employees and their dependents, wellness sessions, and expert-led health talks at the office. Invest in Your Future: We offer competitive compensation and stock options to give you a stake in Ushurs success. Youll grow with us while contributing meaningfully to our journey. Embrace Growth: Growth Mindset is one of our core values we believe in lifelong learning. Employees are encouraged to explore certification courses and professional development, with reimbursement opportunities. Youll also have access to the Ushur Communitys vast learning resources. Flexible Work Options: We recognize the need for flexibility. Depending on your role and location, we offer an in-office or hybrid work model that supports both collaboration and personal well-being. Show more Show less

ABOUT US While the world races to automate the future, were focused on preparing the generation that will lead it. At ADIIVA, we believe the most powerful time to shape a childs mind is early on, when curiosity is boundless and values are just beginning to form. We offer parents a way to nurture critical thinking, resilience and independence from the very start. Founded by Kalika Vajpayee, committed to rethinking early learning, ADIIVA is a lean, high-impact startup working at the intersection of two major technological innovations - LLMs and Robotics. With our first office in Bangalore, we are looking to hire an AI Engineering Lead that will help us build a revolutionary product that transforms how children learn. ABOUT THE ROLE Working closely with the founder, you will define and build the technical foundation of the company from the ground up, influencing every aspect of architecture, tooling and product direction. This role offers unparalleled autonomy, significant equity and the chance to co-create a category-defining AI device for children in a 0?1 environment. This is a full time opportunity based in Bengaluru (on-site). WHAT YOU WILL DO Design the system architecture , covering cloud services, databases, and DevOps workflows Design data architectures specifically optimized for AI agent operations and large language model integration Fine-tune and optimize large language models (LLMs) for child-safe interactions Train LLMs on proprietary multimodal datasets, including voice/text transcripts, behavioral cues and developmental content Evaluate open-source and proprietary models for performance, safety and scale, across cloud and edge environments Prototype and iterate on multi-step conversational behaviors, memory and alignment strategies Implement trustworthy AI practices , including hallucination mitigation, toxicity filtering and age-appropriate guardrails Design systems with data security/ privacy by design , ensuring compliance with regulations Build production-grade ML pipelines with MLOps best practices : CI/CD, monitoring, versioning and feedback loops Collaborate cross-functionally with product, child development experts and design teams Manage and mentor a team of 2-3 engineers WHAT WE LOOK FOR Bachelors degree in Computer Science, or an equivalent discipline Ability to work independently in a fast-paced, ambiguous early-stage environment Growth mindset, strong communication skills and a collaborative spirit 5+ years of experience in AI/ML/NLP , with 1+ years focused on LLMs Proven track record of fine-tuning, training and optimizing LLMs Deep understanding of transformer architectures, attention mechanisms and generative models Strong Python skills with experience in PyTorch, Hugging Face, TensorFlow, Weights & Biases Familiarity with LLM orchestration frameworks ( LangGraph, LangChain, or Haystack ) Experience with cloud platforms (AWS, GCP , or Azure) and their AI/ML services Understanding of privacy-preserving techniques (differential privacy, PII redaction) Exposure to alignment techniques ( RLHF, prompt tuning ) and safety filters Comfort with MLOps tooling, containerization ( Docker ) and orchestration ( Kubernetes, Airflow) Knowledge of RAG and vector databases (e.g., FAISS, Weaviate) Ability to explain complex AI concepts to non-technical stakeholders Passion for building safe, magical AI experiences for children and families BONUS POINTS FOR Experience building conversational agents, interactive storytelling tools or child-facing applications Familiarity with speech-to-text, voice synthesis , or multimodal learning Understanding of regulatory frameworks such as COPPA, GDPR, and responsible AI principles WHY JOIN US Define the future of child-safe AI from day one Join at ground zero and influence every aspect of the product and technical stack Collaborate with a small, passionate, and visionary team Opportunity for ownership, and long-term impact Show more Show less

Position: Gen AI Engineer (React + Node) Experience: 6-8 Years Location: Pune Hybrid Responsibilities: Design & deliver AI-first features (contract summarization, semantic search, guided workflows). Integrate LLMs (OpenAI, Anthropic, Mistral) using LangChain, LlamaIndex, or custom orchestration. Build RAG pipelines & embedding-based search with vector DBs (Pinecone, Weaviate, pgvector). Rapidly prototype & optimize prompts, models, and workflows. Work across stack React (UI), Node.js & Python (AI workflows). Skills Required: Strong in React, Node.js, Python. Hands-on with LLMs, LangChain/LlamaIndex, and vector DBs. Experience with RAG, semantic search, CI/CD, Agile/DevOps.

As a Python Senior Developer, you should have a minimum of 5 years of experience in Python programming. You must possess extensive experience in handling complex projects and demonstrate strong leadership skills to lead projects independently. Your effective communication and teamwork skills will be crucial in collaborating with team members. Your role will require good analytical skills and proficiency in web-based development technologies. It is essential to have expertise in Agile development methodology and strong problem-solving abilities. You should also possess a deep knowledge of Design patterns, Security, Performance tuning, and App monitoring. Experience in API Design, security patterns, and Microservices architecture is necessary. You must have a proven track record of building scalable, low-latency web applications using Flask, FastAPI, or similar frameworks. Additionally, experience in building Python-based SDKs and ORM frameworks is required. Knowledge in distributed in-memory systems like Redis, MemCache, GemFire, and SQL and no-SQL databases is essential. Understanding how to build production-grade applications using WSGI/ASGI frameworks such as Gunicorn, Uvicorn is a must. Experience with Jenkins, CICD pipeline, Logging framework, Splunk, ELK stack is considered beneficial. It would be advantageous to have familiarity with virtualization and cloud platforms such as Kubernetes, AWS, OpenShift, Docker Containers. Proficiency in version control systems like Git and developing test suites, application debugging skills is highly preferred. Good to have skills include an understanding of front-end technologies like JavaScript, HTML5, Angular, and Event-driven programming using Python. Knowledge of Generative AI technologies, LLMs, Embeddings, and building RAG-based solutions would be an added advantage. Familiarity with HDFS, Hive, Impala, PySpark, and other components of BigData systems is also beneficial for this role.,

You will be working at Aimplify Technologies in Bangalore, with the option of Hybrid/On-site work. At Aimplify Technologies, we are revolutionizing the enterprise landscape by creating intelligent, autonomous systems that optimize business processes in areas such as sales, supply chain, finance, and operations. Our AI agents are not just automated; they can reason, collaborate, and adapt. If you are enthusiastic about shaping the future of work, then this role is perfect for you. In this position, you will not have a typical UX design role. Your main responsibility will be designing user experiences for AI-powered agents that can think, act, and interact independently. You will be in charge of the end-to-end UX for features driven by LLMs, workflows, and agentic intelligence. Your tasks will involve creating user-friendly experiences where individuals engage with AI agents for activities like lead generation, financial reconciliation, shift scheduling, and supply chain management. Additionally, you will develop patterns for AI explainability, intent visualizations, and agent-user collaboration. Striking a balance between automation and user control is crucial, as you will design systems where humans can guide, correct, or trust autonomous decisions. You will also need to rapidly prototype, test, and refine based on real user feedback from B2B workflows. Collaboration with product, engineering, and AI teams is essential to deliver delightful and impactful features. Building trust through thoughtful error states, feedback loops, and transparency mechanisms is key. We are seeking individuals with a minimum of 5 years of UX/Product Design experience in B2B SaaS or data-driven tools. A robust portfolio demonstrating UX thinking, system design, and the ability to simplify complex workflows is essential. A genuine interest in AI, automation, or agentic interfaces is required you do not need to be technical, but curiosity is a must. Proficiency in visual design and wireframing tools, along with empathy for users interacting with partial automation, is necessary. Strong communication and storytelling skills are vital for aligning stakeholders across different disciplines. Proficiency in tools like Figma, Adobe XD, Sketch, Miro, Protopie, or similar design and prototyping platforms is expected. Desirable qualifications include exposure to conversational UX, LLMs, or agent orchestration tools, experience with enterprise tools like Salesforce, Zoho, HubSpot, or similar platforms, a background in systems thinking, interaction design, or workflow optimization, experience working in early-stage startups or fast-moving product teams, and technical fluency or a background in HCI, cognitive psychology, or systems design. By joining us, you will have the opportunity to shape the UX of next-generation AI-powered platforms, work alongside leading AI and product experts in an experimental, fast-paced culture, enjoy flexibility in working part-time or full-time with autonomy and ownership, receive competitive compensation and ESOps, and have the chance to build solutions for global clients from India. If you are ready to contribute to designing the future of intelligent automation, apply now by sending your portfolio and resume to careers@aimplify.tech.,

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Corporate Technology Consumer and Community Banking Risk Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will be responsible for executing software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Additionally, you will work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and develop API/services for model deployment, ensuring scalability, reliability, and efficiency. Building applications to automate manual steps in MLOPs pipeline, executing POC for innovative ideas to solve complex business problems, and staying informed about the latest trends and advancements in the latest LLM/GenAI research are also part of your responsibilities. Furthermore, you will add to the team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills include formal training or certification on software engineering concepts and 3+ years of applied experience, proficiency in programming languages like Python for model development and Python for BigData (i.e., Pyspark, Spark SQL on EMR experience). Experience in web applications/APIs with AWS Lambda, cloud gateway, experimentation, and integration with OpenAI API, building API and restful services using Flask/Django/FastAPI, solid understanding of agile methodologies like CI/CD, Application Resiliency, and Security, experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization, as well as understanding the fundamentals of machine learning and LLMs, and experience in applied AI/ML engineering, with a track record of deploying business-critical machine learning models in production. Preferred qualifications, capabilities, and skills include familiarity with modern front-end technologies and the financial services industries.,

You are a highly experienced AI/ML & Generative AI (GenAI) Project Manager responsible for leading and driving cutting-edge AI initiatives. Your role involves managing end-to-end AI/ML and GenAI projects, defining project scope, objectives, and timelines, collaborating with cross-functional teams, and overseeing the design and implementation of AI/ML models while ensuring best practices. Additionally, you will evaluate and integrate Generative AI technologies, manage project risks and dependencies, track progress using Agile methodologies, and ensure compliance with AI ethics and data privacy standards. As an AI/ML & Generative AI Project Manager, you will provide leadership, mentorship, and guidance to AI teams to foster innovation and excellence. It is crucial to stay updated with industry trends, emerging AI technologies, and best practices. Your educational background should include a Bachelor's or Masters degree in Computer Science, AI/ML, Data Science, or a related field, with a minimum of 10 years of experience in IT and at least 5 years of AI/ML project management experience. Proficiency in Python, SQL, and AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face is required, along with expertise in Agile methodologies, SDLC, and DevOps for AI/ML deployments. Your strong understanding of Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI models will be essential for this role. Hands-on experience with cloud AI services, AI ethics, governance, and responsible AI implementation is a plus. Preferred certifications include PMP, PRINCE2, Agile Scrum Master, AI/ML certifications from AWS, Google, or Microsoft, and Data Science or AI/ML specializations from reputed institutions. Your excellent leadership, communication, stakeholder management, problem-solving, and analytical skills will contribute to the success of AI initiatives and projects.,

As a Fulltime AI Engineer / Data Scientist with a experience range of 5-8 years, you will be responsible for designing, building, and deploying NLP and LLM-based models tailored to domain-specific needs such as chatbots, summarization, and classification. Your expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) will be crucial in optimizing performance and integrating these models into real-world systems and applications. Your key responsibilities will include fine-tuning and adapting foundation models like GPT, LLaMA, Mistral for various business use cases, as well as building custom pipelines for text processing, entity recognition, language understanding, and speech-to-text integrations. You will collaborate closely with engineering teams to integrate AI models into production systems such as APIs, microservices, and edge deployments. Furthermore, you will be conducting experimentation, model evaluations, and performance tuning to ensure latency, accuracy, and scalability. To excel in this role, you must have a strong background in Python, PyTorch, or TensorFlow, along with a proven track record in training, fine-tuning, and deploying LLMs or transformer-based models such as BERT, GPT, T5, etc. Additionally, a solid understanding of NLP fundamentals including tokenization, embeddings, attention mechanisms, text classification, and sequence labeling is essential. Experience with model deployment tools like FastAPI, Flask, Docker, and REST APIs is required, along with familiarity with data pipelines and MLOps tools such as MLflow, Weights & Biases, SageMaker, etc. Knowledge of speech-based interfaces or integration with telephony/speech systems will be a strong advantage in this role. You should also be able to translate business problems into AI solutions effectively. Exposure to RAG (Retrieval Augmented Generation) pipelines, LangChain, LlamaIndex, or similar agentic/LLM orchestration tools will be beneficial. Understanding model security, prompt injection risks, and observability is also expected. If you find this job description suitable for your profile, please share the following details along with your updated CV to lavanya.g@movius.ai: - EXP - CTC - ECTC - Location - Notice We look forward to hearing from you. Regards, HR Team,

You are a skilled and driven MEAN Stack Developer with 3 years of experience in strong AI integration capabilities. Your role is crucial for our New Neoloop HR platform as you will be responsible for implementing a self-hosted AI Agent based on Mistral for automated job post generation and applicant pre-qualification. As a MEAN Stack Developer, your tasks will include developing web applications, collaborating with cross-functional teams, and ensuring the delivery of high-quality software that meets user needs and company goals. You must possess expertise in Node.js for API development and backend logic, have experience with LLMs such as Mistral, LLaMA, or comparable open-source models, and be familiar with LangChain or CrewAI frameworks for agent orchestration. Additionally, you should excel in JSON modeling of structured data, REST API design & integration, and be proficient in either MongoDB or PostgreSQL. An understanding of data protection regulations like GDPR in AI-driven applications is also required. Nice-to-Have skills include experience with vector databases, Prompt Engineering & Few-Shot Learning strategies, deploying LLMs on AWS GPU instances, basic understanding of Angular-to-API communication, and familiarity with Speech-to-Text (STT) and Text-to-Speech (TTS) processing tools. Candidates who have previously integrated AI models into operational platforms, especially in the HRTech or ERPTech environment, will be given priority. In return, we offer a competitive salary and performance-based incentives, health and wellness benefits, opportunities for career growth and professional development, and a collaborative and innovative work environment. If you are ready to take on new challenges and be part of a team that values innovation and creativity, we encourage you to apply now by emailing us at career@synram.co or calling us on +91-9111381555. This is a full-time, permanent position with benefits such as a flexible schedule, health insurance, leave encashment, paid time off, and performance bonuses. The work location is in person at Gwalior, with a day shift, fixed shift, morning shift, and weekend availability.,

We are looking for a Customer Onboarding Manager to be a part of our Technology Organization. As a member of the Delivery Management team, you will collaborate with our Enterprise customers to strategize and set up our products according to their specific needs. Teaming up with a Delivery Architect, you play a vital role in ensuring a swift and efficient onboarding process for the customers. To excel in this position, you should possess project management expertise, a forward-thinking approach towards technology, and a problem-solving mindset. Your responsibilities will include guiding our Enterprise customers through the onboarding procedures for ASAPP's products. You will be in charge of coordinating and overseeing all tasks, which involves risk assessment and mitigation, defining milestones, testing schedules, and final acceptance. It will also be your duty to document and enhance product requirements for effective communication both internally and externally. Collaborating with our Delivery Architecture and Engineering teams, you will configure ASAPP's products. Furthermore, you will actively participate in multiple customer project teams, working closely with Delivery Architects and Engineers to complete the designated tasks. You are expected to become an expert on ASAPP's Products, providing insights internally and externally. Additionally, you will collaborate with our Go to Market, Product, Engineering, and Research teams to achieve our Customers" objectives. To qualify for this role, you should have a minimum of 5 years of relevant experience, with at least 3 years of project management, implementation, or customer success experience. You must be familiar with cloud-based software implementation processes and possess the ability to navigate complex interpersonal relationships while engaging with various stakeholders from different levels within our customers" organizations. A proactive attitude, coupled with the ability to identify and resolve issues, is essential. Being adaptable and open to feedback is crucial, along with strong presentation skills to communicate business-oriented solutions and technical concepts effectively. Experience in creating, documenting, and enhancing technical processes is also required. Desirable qualifications include advanced experience in cloud technologies such as AWS, Docker/Kubernetes, Cloud Formation, Terraform, EC2, IAM, and S3. Experience in the contact center and customer experience industry, direct collaboration with technical partners, proficiency in major programming languages (Golang, Python, C++, Java, etc.), working in multi-developer/engineer environments using tools like Git, Jira, and CI/CD pipelines, and familiarity with Machine Learning, Natural Language Processing, and LLMs. In addition to a challenging role, we offer competitive compensation, stock options, Life Insurance, complimentary onsite meals, a connectivity stipend for mobile phone and internet services, wellness benefits, Mac equipment, learning and development support, and parental leave, including 6 weeks of paternity leave.,