Senior Generative AI Engineer

Join our innovative team as a Senior Generative AI Engineer for one of Weekday's esteemed clients.Salary range: ₹30,00,000 - ₹40,00,000 per annumMinimum Experience: 4 yearsLocation: BengaluruJob Type: Full-timeIn this pivotal role, you will spearhead the AI component of our product, crafting intelligent functionalities tailored for enterprise clients. Your focus will be on delivering robust, production-ready AI systems that prioritize reliability, observability, and comprehensive evaluations. You will oversee the complete process from model development to user interface, rolling out impactful features such as the CS Copilot and advanced document understanding capabilities.Key ResponsibilitiesDevelop and lead the CS Copilot initiative, focusing on speech-to-text (STT) pipelines, real-time transcription, and LLM-based recommendations.Design LLM-enabled document comprehension features to derive structured data from unstructured enterprise documentation.Oversee the end-to-end management of AI feature user interfaces, integrating model functionalities seamlessly.Create and uphold a robust evaluation framework to assess AI feature quality and identify potential regressions.Guide model selection and integration strategies, balancing performance with cost-effectiveness.Ensure the reliability of the AI platform by establishing observability, fallback protocols, and graceful degradation methods.Work collaboratively with product teams, customer success representatives, and full-stack engineers to improve usability and foster user trust.

Join Western Digital as a Senior AI & Automation Engineer where you will leverage your expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and Python to drive innovative automation solutions. You will be responsible for designing and implementing advanced AI systems that enhance operational efficiency and deliver cutting-edge capabilities.This role requires a strong background in developing and integrating APIs, as well as experience with Machine Learning and Cloud Platforms. You will collaborate with cross-functional teams to identify opportunities for AI-driven improvements and lead projects from concept through execution.

Role overview Jiostar seeks an Engineering Manager to lead its Generative AI Studios team in Bengaluru. This position guides engineers building an AI-powered platform designed for professional creators. The primary goal: enable creators to generate production-ready, high-quality content using advanced AI tools. Automated assessment and validation are central features of the platform. The Generative AI Studios team This group at jiostar brings together engineers who transform ambitious concepts into working products. The team quickly moves from early prototypes to scalable platforms that support ongoing growth. Experimentation and creativity shape daily work and decision-making. Engineers here build AI-enhanced systems that help creators tell their stories. Machine learning and multimedia pipelines are key components, amplifying creative voices and enabling new types of content experiences. Team members operate at the intersection of technology and creativity. The work covers end-to-end product development, exploration of new technologies, and contributions to the future of entertainment content.

Role OverviewJoin us as a Forward Deployed Engineer (FDE) at Galileo Technologies, where your expertise will directly influence the success of our top-tier clients through customized technical solutions harnessing generative AI. This dynamic, customer-facing role emphasizes advanced backend engineering, innovative problem-solving, and strategic product development. Collaborate closely with our Head of Field Engineering, AI engineers, and customer project managers to optimize workflows, create tailored integrations, and drive swift advancements towards deploying production-ready solutions.Key ResponsibilitiesEngage with clients to identify their business challenges and architect scalable AI-driven solutions.Develop bespoke features, integrations, and workflows utilizing state-of-the-art AI technologies (e.g., OpenAI Agents SDK, LangGraph, CrewAI).Work alongside client engineering and project management teams to implement solutions and guarantee ongoing success.Regularly monitor, communicate, and synchronize workstreams with internal and external stakeholders.Travel to client sites to foster a deep understanding of their operational needs.

Join Bosch Group as a Senior AI & Generative AI Specialist, where you will leverage cutting-edge technologies to drive innovation in artificial intelligence and generative models. Your expertise will play a crucial role in developing advanced AI solutions that enhance our product offerings and deliver exceptional value to our clients.

We are on the lookout for a talented and experienced Senior Machine Learning Engineer with a strong focus on multimodal generative AI models, cross-modal architectures, and advanced multimodal fusion techniques. The ideal candidate will possess a robust technical foundation spanning text, vision, audio, and video modalities, alongside a passion for mentoring and promoting the integration of innovative technologies.

Join our innovative team at gsstech-group as a Full Stack Software Engineer specializing in Node.js, React.js, and Generative AI integrations. In this role, you will have the opportunity to design and develop scalable digital products while embedding cutting-edge AI capabilities into our applications.Key ResponsibilitiesCreate and maintain scalable web applications utilizing React.js for the frontend and Node.js for the backend.Develop and incorporate GenAI-powered features such as large language models (LLMs), chatbots, and AI workflows into our applications using Node.js.Build and integrate RESTful APIs and microservices to enhance application functionality.Work extensively with AI APIs (e.g., OpenAI, Claude) to integrate them seamlessly into backend services.Collaborate with cross-functional teams including Product Management, UI/UX designers, and Data teams to drive project success.Optimize application performance, scalability, and security through best practices.Contribute to the overall system architecture and design AI solutions that meet business needs.Required Skills & QualificationsProven experience with Node.js and React.js.Hands-on expertise in Generative AI integrations using Node.js, including working with LLM APIs (e.g., OpenAI, Anthropic), prompt engineering, and building AI-driven workflows.Strong understanding of REST APIs and microservices architecture.Proficient in JavaScript (ES6+).Experience working with databases such as MongoDB or PostgreSQL.Familiarity with version control systems like Git and CI/CD pipelines.Preferred QualificationsExperience in the Banking and Financial Services domain.Knowledge of cloud platforms (AWS, Azure, GCP).Familiarity with vector databases, embeddings, or RAG architectures.

Join Western Digital as a Senior Scientist in Data Science, where you will lead pioneering research and development projects in the realms of Generative AI, interpretable machine learning, and statistical analysis. You will work alongside a talented team of data scientists and engineers to innovate and apply advanced algorithms to solve complex problems.

Konovo is a leading global healthcare intelligence firm dedicated to revolutionizing research through innovative technology, providing quicker, enhanced, and interconnected insights. With access to an extensive network of over 2 million healthcare professionals, Konovo stands as the largest of its kind on a global scale. Our diverse team of over 200 employees, spread across five countries—India, Bosnia and Herzegovina, the United Kingdom, Mexico, and the United States—collaborates to assist some of the most renowned names in the healthcare sector. Our clientele includes more than 300 prominent pharmaceutical companies, medical device firms, research organizations, and consulting agencies. As we shift from a service-oriented approach to a product-centric platform, we are expanding our hybrid team based in Bengaluru. We are in search of a Senior Applied AI Engineer to drive the next phase of our AI-native platform. AI is already integrated into our products and internal tools. In this role, you will enhance, scale, and operationalize these capabilities across our platform, data systems, and engineering workflows, ensuring production reliability and enterprise-level discipline. Collaborating with global engineering, data, and product teams, you will translate real business challenges into production-ready AI solutions. This is a hands-on position for an individual who comprehends both the potential and limitations of contemporary AI. You will design strategically, build pragmatically, and deploy responsibly. Your contributions will directly influence how our customers and employees engage with AI at Konovo. You'll work in an environment where AI decisions affect enterprise customers worldwide, adhering to high standards of reliability, compliance, and performance. AI serves as a strategic differentiator for Konovo, and as a globally scaled healthcare intelligence company, we strive to accelerate innovation while maintaining reliability, data integrity, and customer trust.

About Us At Hitachi Digital Services, we are a pioneering global digital solutions provider with an ambitious vision to unleash the full potential of our world. Driven by our commitment to people and our planet, we strive to innovate urban environments, conserve invaluable resources, and contribute positively to society. Our mission is to empower organizations through cutting-edge technology, expertise, and a relentless pursuit of progress. We believe that the diversity of experiences, perspectives, and passions enriches our collective journey toward a brighter future. We welcome candidates who may not meet every qualification but share our vision for making a difference. The Role We are looking for a skilled Generative AI Architect to join our team. This role demands in-depth knowledge of Generative AI frameworks such as OpenAI, Azure OpenAI, LangChain, LangGraph, and Copilot Studio, as well as experience with AI platforms. Key Responsibilities: Design and implement comprehensive Generative AI and Agentic AI architectures for enterprise clients. Lead technical execution using Azure OpenAI, LangGraph, or Copilot Studio. Develop reusable frameworks, prompt orchestration patterns, and RAG pipelines. Ensure adherence to security, privacy, and Responsible AI standards. Optimize AI observability, cost, and performance tuning. Collaborate with data, cloud, and business teams to identify AI use cases. Mentor engineering teams and contribute to practice accelerators and reference solutions. Assist in presales, client demonstrations, and proposal development with architectural insights. Join us on this exciting journey to innovate and transform the digital landscape!

About 2070health 2070health builds AI-first automation platforms for the healthcare and insurance sectors. The company focuses on interpreting unstructured conversations, documents, and workflows, aiming for autonomous execution of complex business processes that typically require human input. Specialties include domain-specific Small Language Models (SLMs) and carefully fine-tuned Large Language Model (LLM) pipelines. These solutions are designed for reliability in regulated, high-stakes settings such as US Healthcare Revenue Cycle Management (RCM). The technical approach centers on deterministic AI systems, combining prompt engineering, model fine-tuning, and agentic orchestration to support enterprise automation. Role Overview 2070health seeks a Senior AI Engineer based in Bengaluru, Karnataka. This position calls for deep expertise in prompt engineering, LLM fine-tuning, and SLM development. The engineer will design, train, optimize, and deploy language models tailored to specific domains. Key work includes developing high-performance prompts for 8B-class models such as LLaMA, Mistral, and Qwen, then evolving these prompts into fine-tuned models that meet production standards for reliability. Responsibilities also cover designing prompt architectures, instruction schemas, and evaluation pipelines. The goal: ensure models produce accurate, structured, and deterministic outputs that fit enterprise automation workflows.

CSQ326R35 Mission The AI Forward Deployed Engineering (AI FDE) team at Databricks is a premier, customer-centric AI team dedicated to revolutionizing AI application development. We engage in professional service projects that empower our clients to create and deploy groundbreaking AI solutions. By collaborating across various functions—including engineering, product development, and developer relations—we help shape strategic initiatives that drive innovation. We are looking for dynamic individuals with distinct skill sets to enhance our team's capabilities. If you have a passion for collaborating with clients and colleagues while staying updated on the latest advancements in Generative AI, LLMOps, and Machine Learning, this role is perfect for you. This position is fully remote. Your Impact: Design and implement innovative Generative AI solutions using our Mosaic AI research to address complex client challenges. Take ownership of rolling out GenAI applications for both consumer and internal stakeholders. Act as a trusted technical consultant to clients across diverse sectors. Represent Databricks at industry events, including the Data + AI Summit, establishing yourself as a thought leader. Work collaboratively with product and engineering teams to influence development priorities and guide the product roadmap. What We Seek: Proven experience in creating Generative AI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning, utilizing tools like HuggingFace, LangChain, and DSPy. At least 5 years of relevant experience as a Data Scientist, ideally in a consulting capacity. Strong expertise in deploying production-level Generative AI applications, with a focus on evaluation and optimizations. Hands-on experience in data science, utilizing popular ML tools such as pandas, scikit-learn, and PyTorch. Experience with production-grade machine learning deployments on platforms such as AWS, Azure, or GCP. Graduate degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience. Ability to communicate technical concepts to both technical and non-technical audiences effectively. A passion for teamwork, continuous learning, and leveraging AI to create business value. [Preferred] Familiarity with the Databricks Intelligence Platform and Apache Spark™ for processing large-scale datasets.

About Nightfall AI:Nightfall AI is an innovative platform at the forefront of data loss prevention and insider risk management, designed to safeguard sensitive information across a wide range of applications including SaaS tools, email, endpoint devices, and generative AI technologies. Trusted by hundreds of clients, from pioneering AI companies to the world's leading financial institutions, we empower organizations to pursue innovation without compromising on data security. Our cutting-edge platform automates data loss prevention, allowing security teams to focus on strategic initiatives while automatically addressing violations before they escalate into incidents.Supported by prominent venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and esteemed cybersecurity leaders, Nightfall AI is positioned for rapid growth and innovation.About the Role:We are looking for a dedicated and talented AI Engineer to join our dynamic AI Engineering team at Nightfall AI. You will collaborate with a team of exceptional engineers to design, develop, and optimize the AI models that are integral to our security solutions. This role offers the opportunity to work on the architecture and scalability of systems that underpin these models.If you have a passion for tackling complex challenges, experimenting with natural language processing architectures, and diving deep into system internals to create impactful solutions, this is an exciting opportunity to join us early in our journey and accelerate your career growth. Key ResponsibilitiesDevelop and deploy AI systems that enhance Nightfall's security offerings.Utilize Python for data analysis, experimentation with natural language and other model architectures, model benchmarking, and automation of training and deployment processes.Employ Go to create microservices that efficiently handle data ingestion and processing at scale, leveraging advanced streaming infrastructure and distributed caching techniques.Engage in cross-functional collaboration to enhance the performance and capabilities of our products.

Join us as a Generative AI Intern at Abstrabitte Technologies Pvt Ltd, where you'll have the opportunity to work on cutting-edge AI projects that push the boundaries of technology. This internship offers a unique chance to gain hands-on experience in the rapidly evolving field of artificial intelligence.

At Beghou Consulting, we boast over 30 years of expertise in guiding life sciences companies to enhance their commercialization processes through strategic insights, cutting-edge analytics, and innovative technology solutions. We specialize in crafting go-to-market strategies, establishing robust data analytics infrastructures, and harnessing the power of artificial intelligence to elevate customer insights and engagement. Our comprehensive services enable life sciences firms to maximize their portfolio performance. With our headquarters in Evanston, Illinois, and 10 global offices, we are well-equipped to support our clients worldwide.Our mission is to unite analytical brilliance with transformative technology, aiding life sciences companies in navigating the complexities of healthcare to ultimately improve patient outcomes.In this pivotal role, you will be responsible for designing, developing, and deploying custom AI solutions for our pharmaceutical clientele. Collaborating closely with cross-functional teams, including data scientists, business consultants, and software developers, you'll translate complex challenges within the life sciences sector into innovative, AI-driven solutions.

About EnCharge AI: At EnCharge AI, we are pioneering the future of artificial intelligence with our state-of-the-art AI platform. Our innovative in-memory computing architecture enables a tenfold enhancement in compute energy efficiency and performance for AI inference tasks. As the landscape of artificial intelligence evolves, we recognize the need for fundamental infrastructure advancements. Our seasoned team of AI researchers, silicon and systems engineers, and architects is supported by top-tier investors, positioning us to become the cornerstone of the forthcoming era of AI innovation. The Opportunity: Video generation stands as one of the most compute-intensive challenges in AI and showcases one of the most promising uses of our hardware's energy efficiency benefits. We are developing a comprehensive video generation stack that will highlight the transformative capabilities of our silicon while providing tangible value to our customers today. We are on the lookout for a talented Software Engineer to architect the infrastructure and applications that will bring our video generation technologies to market. In this role, you will construct the serving stack, design customer-facing APIs, and develop intelligent systems that exhibit the possibilities when video generation meets energy-efficient hardware. This position is foundational, offering an excellent opportunity to shape the future of our video generation solutions.

Join AlphaSense as a Senior Software Engineer specializing in AI applications, where you'll develop innovative solutions that leverage artificial intelligence to enhance our platform. You will be part of a dynamic team, collaborating to build scalable and efficient software that empowers users with cutting-edge technologies.

Senior Staff Engineer - AI SystemsLocation: Bengaluru (HSR)Compensation: ₹60–90 LPA + 0.5% – 3% EquityAbout Libra AIAt Libra AI, we are pioneering the AI Operating System for Work, establishing an integrated layer that seamlessly connects tools, comprehends contexts, and autonomously executes tasks.Having successfully secured a $1M pre-seed funding, we are assembling a dynamic, high-agency team to redefine the landscape of AI in the workplace.Role OverviewWe are seeking a Senior Staff Engineer to spearhead the architecture and development of our fundamental AI systems.This role combines deep individual contributor responsibilities with technical leadership, where you will be accountable for pivotal architectural decisions, construct foundational systems, and elevate the engineering standards across the organization.You will collaborate closely with the CEO and the founding team to transform visionary concepts into robust production systems.Key ResponsibilitiesDesign and oversee the core system architecture of AI and backend systems.Develop and scale LLM-driven systems (agents, RAG, orchestration layers).Create a unified context layer that enables semantic memory across tools and users.Enhance performance metrics, focusing on:LatencyCost efficiency (token and infrastructure)ReliabilityLead intricate technical projects from inception to completion.Establish best practices for code quality, system design, and scalability.Mentor engineers and elevate the overall technical standards.Collaborate with product and design teams to deliver rapid, high-quality systems.Qualifications6–10 years of engineering experience in relevant fields.Proven hands-on expertise in AI/LLMs (required).Extensive experience with backend systems (Node.js/Python preferred).Robust system design and architectural skills.Experience in building and scaling production systems.Strong problem-solving capabilities and a passion for technology.

Join our dynamic team at gsstech-group as a Senior Technology Engineer, where you will leverage your expertise in AI/ML platforms, MLOps, and scalable inference systems. In this pivotal role, you will be responsible for the design, deployment, and optimization of cutting-edge AI-driven solutions in both on-premises and cloud environments, with a particular emphasis on Generative AI and Large Language Model (LLM)-based applications.Key Responsibilities:Architect, develop, and sustain containerized applications utilizing OpenShift, OpenShift AI, Kubernetes, and Helm Charts.Integrate and fine-tune AI inference engines like Triton Inference Server and vLLM for optimal model serving performance.Oversee the complete model lifecycle management from deployment to monitoring, scaling, and maintenance in production settings.Implement comprehensive monitoring and alerting frameworks with tools such as Prometheus and Grafana.Collaborate on groundbreaking Generative AI and LLM initiatives, including Agentic AI systems.Establish and manage CI/CD pipelines using Jenkins, Ansible, Groovy, and Terraform.Create automation tools and scripts with Python to enhance system efficiency and reliability.Design and administer AI/ML solutions on AWS Cloud, utilizing services like Amazon SageMaker and AWS Bedrock (preferred).Enhance AI platforms across hybrid environments (on-premise and cloud).Ensure systems are scalable, resilient, and high-performing.Contribute to architectural design decisions and shape the future roadmap of AI platform capabilities.

Join our dynamic AdTech team as a Senior AI/ML Engineer, where you will play a pivotal role in the development and deployment of cutting-edge machine learning models and AI-powered features for our advertising platform. Collaborate with cross-functional teams including engineering, product management, and data science to create high-performance ML solutions aimed at enhancing campaign optimization, personalizing user experiences, and generating creative insights. You will be responsible for operating at scale, processing billions of ad events each day with a focus on low latency and high reliability.Key ResponsibilitiesMachine Learning Implementation: Design, implement, and deploy scalable ML solutions tailored for core AdTech functions such as targeting, ranking, pacing, and measurement. Navigate the entire lifecycle from experimentation to production.ML System Architecture: Develop and refine the ML lifecycle, ensuring seamless integration of models with ad serving systems while meeting stringent low-latency and high-throughput criteria.Technical Expertise: Influence the AI/ML technical roadmap by assessing and adopting advanced tools and methodologies (including deep learning and LLMs). Make informed decisions that prioritize maintainability and operational excellence.AI & Agentic Solutions: Create and integrate LLM-driven features and workflows that facilitate campaign management tasks like audience insights, bid recommendations, and creative generation, all within established guidelines.Collaborative Efforts: Engage closely with engineering, product, and data science teams to interpret marketing goals into ML-driven results, establish success metrics, and implement continuous improvements.Performance Optimization: Manage ML services in a high-concurrency environment, optimizing inference pathways, implementing monitoring and alerting systems, addressing model drift, and ensuring safe deployment practices.Mentorship & Standards: Guide and support fellow engineers through code and model reviews, promoting best practices in testing, documentation, and reproducible ML workflows.