Backend Software Engineer at ema | Bengaluru

Join Blue Machines AI as a Senior Video Editor and play a crucial role in shaping our enterprise-grade Voice AI platform.About Blue Machines AIWe are an innovative enterprise Voice AI orchestration platform, proudly developed in India for global markets. Our focus is on deploying reliable, compliant, and low-latency multilingual voice agents at scale, making Voice AI production-ready for high-stakes enterprise workflows.Our VisionWe aim to establish a trust layer for businesses, ensuring that Voice AI is as dependable as any critical enterprise system—capable, responsible, and always prioritizing human interaction.Recent Media RecognitionEntrackr ArticleEconomic Times CoverageFor more information, visit our website: Blue Machines AI

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.

About AIONAION is at the forefront of innovation, developing a cutting-edge interoperable AI cloud platform that is set to redefine high-performance computing (HPC). Our decentralized AI cloud is engineered for bare-metal performance, democratizing access to compute resources and offering managed services. Our goal is to create an all-encompassing AI lifecycle platform, guiding organizations from data collection to model deployment through our unique forward-deployed engineering methodology.As AI reshapes industries globally, the demand for computational power is escalating. AION is committed to being the gateway for dynamic compute workloads, constructing integration pathways with various global data centers and revolutionizing the compute stack with our advanced serverless technology. We prioritize enterprise security and compliance, re-evaluating every aspect of our infrastructure, from hardware to API interfaces.With a team of highly experienced founders who have previously achieved successful exits and strong backing from prominent venture capitalists, AION is strategically positioned with global partnerships. Our headquarters are in the US, and we are building our initial core team in India.Who You AreYou are an experienced engineer with a proven track record in building and scaling high-performance inference systems tailored for AI/ML workloads. Your deep understanding of the complexities involved in serving models at scale—such as latency optimization, resource orchestration, autoscaling dynamics, and maintaining production reliability—sets you apart. You have designed distributed systems capable of processing thousands of requests per second while ensuring sub-second response times and cost efficiency.Proficiency in Golang is highly desirable, and familiarity with inference engines (e.g., vLLM, TGI, TensorRT), containerization, and distributed systems will be advantageous. You are proactive in making platform-level decisions, strategically balancing performance and cost, and your contributions will empower AI inference for countless developers worldwide.You have a product-oriented mindset, considering how your technical choices affect developers using AION's platform and focusing on the complete user experience. You are a collaborative team player, adept at juggling multiple responsibilities—whether optimizing inference latency, engaging with customers to address their deployment challenges, or assisting with UI/UX, customer success, and product operations.

About WisdomAIAt WisdomAI, our mission is to democratize data access, enabling individuals and organizations to harness insights for better decision-making. We harness the transformative power of Generative AI to revolutionize how employees interact with data within their organizations. Join us now, as we partner with several Fortune 100 companies while still being in the early stages of our growth, allowing you to significantly influence our product and engineering direction.Role OverviewWe are seeking a talented Backend Software Engineer to join our founding team. You will be instrumental in developing machine learning (ML) and data pipelines that are efficient, secure, and scalable.Key ResponsibilitiesDesign and implement large-scale data pipelines to manage latency-sensitive analytical workloads.Utilize modern cloud infrastructure to create cost-effective and scalable solutions.Collaborate closely with customers and company founders to shape the product and engineering vision.Contribute to establishing a robust engineering culture and technology stack within the company.QualificationsProven experience in developing large-scale data pipelines.Bachelor's or Master's degree in Computer Science or a related field.Previous experience in a startup environment or fast-paced teams is highly advantageous.

Role overview Eurofins Scientific seeks a Software Engineer specializing in Artificial Intelligence and Machine Learning for its Bengaluru office. The position focuses on creating and refining AI/ML solutions that drive important company projects. What you will do Collaborate with cross-functional teams to design and build software that uses AI and machine learning techniques. Emphasis is on scalable and efficient solutions. Apply technical knowledge to improve product features and make operations more efficient. Location This position is located in Bengaluru.

About Nightfall:Nightfall is a pioneering AI-native platform that integrates data loss prevention and insider risk management to safeguard sensitive information across various platforms including SaaS applications, GenAI tools, email, and endpoint devices. Our solution is trusted by a multitude of clients, from innovative AI companies to some of the top 10 banks, ensuring they can operate securely while protecting intellectual property and customer data. With our intelligent platform, security teams can automate data loss prevention processes, allowing them to focus on innovation while we handle the complex remediation of security violations automatically.Our investors include renowned VC firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, alongside cybersecurity veterans like Frederic Kerrest, Maynard Webb, and Kevin Mandia.About the Role:As a Backend Engineer at Nightfall, you will play a crucial role in delivering our platform with reliability, security, and scalability. You will be instrumental in designing and building low-latency, real-time microservices that facilitate the processing and detection of sensitive data effectively.

P-1348 At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems in the world, ranging from security threat detection to the development of cancer drugs. Our mission is to create and manage the leading data and AI infrastructure platform, allowing our customers to concentrate on the critical challenges central to their missions. Our engineering teams are committed to developing innovative technical products that meet real and significant needs globally. We continuously push the limits of data and AI technology while ensuring resilience, security, and scalability to enhance our customers' success on our platform. We are responsible for the operation of one of the largest scale software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data on a daily basis. At this scale, we encounter cloud hardware, network, and operating system issues, and our software must effectively shield our customers from these challenges. As a Senior Software Engineer on the Data Platform team, you will contribute to building the Data Intelligence Platform for Databricks, which aims to automate decision-making across the organization. You will collaborate closely with Databricks Product Teams, Data Science, Applied AI, and more. Your role will involve developing a range of tools for logging, orchestration, data transformation, metric storage, governance platforms, and data consumption layers. You will leverage the latest and most advanced Databricks products and other tools in the data ecosystem. Our team also serves as a substantial in-house customer, using Databricks to inform the future direction of our product. Your Impact: Design and manage the Databricks metrics store, enabling all business units and engineering teams to consolidate and share detailed metrics on a common platform with high quality, introspection capabilities, and query performance. Lead the development of the cross-company Data Intelligence Platform, which encapsulates all business and product metrics essential for running Databricks. You will play a pivotal role in balancing data protection with ease of shareability as we transition to a public company. Create tools and infrastructure to efficiently manage and operate Databricks on Databricks at scale across multiple clouds, geographies, and deployment types. This includes CI/CD processes, testing frameworks for pipelines and data quality, and infrastructure-as-code tooling. Establish the foundational ETL framework utilized by all pipelines developed within the company. Collaborate with our engineering teams to provide...

About AlphaSense: AlphaSense is the go-to platform for the world’s most advanced organizations, enabling them to eliminate uncertainty in decision-making. Our sophisticated market intelligence and search capabilities, powered by proven AI technology, provide critical insights derived from reliable content sources. This expansive universe encompasses public and private materials including equity research, company filings, event transcripts, expert calls, news, trade journals, and proprietary research content from our clients.In 2024, AlphaSense enhanced its mission by acquiring Tegus, jointly aiming to empower professionals with AI-driven market intelligence for informed decision-making. This strategic partnership is set to drive growth, innovation, and expansion of content, allowing users to extract even deeper insights from a multitude of data sources. Trusted by over 6,000 enterprise clients, including a significant number of S&P 500 companies, AlphaSense was founded in 2011 and is headquartered in New York City, with over 2,000 employees across various global locations including the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join our team!About the RoleWe are on the lookout for an accomplished engineering leader to revolutionize our approach to developing and managing AI-powered systems at scale. You’ll collaborate with a team of exceptional engineers who have created state-of-the-art AI applications. Your primary objective will be to implement world-class engineering practices that guarantee the reliability of these innovations for our enterprise clients.This role presents a unique chance for a seasoned engineer who enjoys building resilient platforms, mentoring skilled teams, and fostering engineering excellence. You will have considerable autonomy to design our technical architecture while engaging with cutting-edge AI models and autonomous systems that drive market intelligence for leading global enterprises.

We are seeking a talented Backend Engineer to join our dynamic team in Bengaluru. In this role, you will focus on developing scalable systems, delivering rapid solutions, and utilizing AI-driven development methodologies to achieve exceptional product engineering results.

About ContiinexContiinex stands at the forefront of AI-driven enterprise automation, specifically tailored for the healthcare and insurance sectors. Our platform is designed to comprehend complex, unstructured conversations, documents, and workflows, facilitating the autonomous execution of intricate business processes that typically require human intervention.We specialize in developing domain-specific Small Language Models (SLMs) coupled with finely-tuned LLM pipelines that excel in high-stakes, regulated environments such as the US Healthcare Revenue Cycle Management (RCM).Our architectural framework champions deterministic AI systems through advanced prompt engineering, model fine-tuning, and orchestration, thereby driving effective enterprise automation.Role OverviewWe are in search of a skilled Senior AI Engineer who possesses extensive knowledge in Prompt Engineering, LLM fine-tuning, and SLM development. The primary responsibility of this role will be to design, train, optimize, and deploy specialized language models.You will play a pivotal role in engineering high-performance prompts for 8B-class models such as LLaMA, Mistral, and Qwen, transitioning these prompts into fine-tuned models that ensure production reliability.Your tasks will include creating prompt architectures, instruction schemas, and evaluation pipelines to guarantee that the models deliver accurate, structured, and deterministic outputs suitable for enterprise automation workflows.

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.

Who are we?Our MissionFounded in 2022 in San Francisco, Altimate AI is at the forefront of transforming enterprise data operations with cutting-edge AI technology. Our mission is to lighten the load of overworked enterprise data teams by delivering innovative, AI-driven solutions that automate and expedite a variety of data tasks. Our flagship product, DataPilot, is designed for advanced data automation, while our latest technology, DataMates, introduces agentic AI to data operations, acting as virtual collaborators for data professionals. Our tools seamlessly integrate with popular platforms like VSCode, Git, and Slack, handling everything from data documentation to performance optimization.By utilizing a proprietary framework that merges multiple language models with a custom knowledge graph, we create context-aware AI agents that effortlessly fit into existing workflows. Our solutions, including ambient AI for ongoing monitoring and optimization, are tailored to address the escalating demands of data operations, business intelligence, and analytics in an age of rapidly expanding data volumes. With a user base spanning thousands globally, and strong backing from esteemed investors, we are strategically positioned at the leading edge of the AI-powered data engineering revolution.For more insights, check out our recent feature in VentureBeat.Our TeamOur team comprises seasoned Silicon Valley veterans who have previously developed industry-defining data and AI products cherished by numerous companies worldwide. Having closely experienced the journey from startup to IPO, we are embarking on a similar path once more, supported by distinguished advisors and venture capital firms with vast portfolios.What We SeekWe are on the lookout for a Senior Software Engineer with 3-5 years of experience who thrives on tackling intricate engineering challenges beyond conventional application development. This role is perfect for an individual with a robust backend development background who is eager to engage with AI-powered developer tools and data infrastructure.You will play a pivotal role in constructing the backend systems that fuel our AI capabilities, focusing on scalable APIs, data pipelines, and services that seamlessly integrate advanced AI into the daily workflows of data teams.

About AIONAION is pioneering an interoperable AI cloud platform, reshaping the landscape of high-performance computing (HPC) through our decentralized AI cloud solutions. Designed for bare-metal performance, AION democratizes access to computing resources and offers managed services, positioning itself as a comprehensive AI lifecycle platform. We facilitate organizations on their journey from raw data to fully deployed models via our innovative forward-deployed engineering approach.The surge in AI's transformative power across global businesses is unprecedented, and at AION, we aim to meet this growing demand for computational resources by establishing integration bridges with diverse data centers worldwide and re-engineering the compute stack using our cutting-edge serverless technology. We understand the challenges enterprises face in balancing AI adoption with security, which is why we prioritize enterprise security and compliance, re-evaluating every facet of our infrastructure—from hardware to network packets and API interfaces.With a team of highly accomplished founders who have previously succeeded in their ventures, AION is backed by significant venture capital and strategic global partnerships. Our headquarters are located in the United States, and we are actively building our core team in India.Who You AreYou are a proficient engineer with 2-4 years of experience in backend systems and platform infrastructure. You take pride in writing clean, well-structured code, adhering to robust design patterns and comprehensive testing. You are adept in both the Compute Platform (multi-cloud orchestration, resource management) and the Inference Platform (model serving, autoscaling), collaborating with experienced engineers and platform leads.Your expertise in Golang allows you to create maintainable, production-ready distributed systems. You value code quality, enjoy engaging in low-level designs, and are excited to learn from seasoned engineers while making meaningful contributions to essential infrastructure components.You possess a product-oriented mindset, recognizing how your technical choices affect developers using AION's platform and considering the overall user experience. As a versatile team player, you seamlessly shift between building product features, participating in customer discussions to address deployment challenges, and assisting with UI/UX, customer success, documentation, and product operations.

Role overview Consuma is looking for a Senior Backend Engineer to join as a founding team member in Bengaluru. This role centers on designing and scaling distributed infrastructure that powers AI and data products. The work involves building backend systems capable of handling high volumes of data and supporting advanced solutions. What you will do Create backend architecture for distributed, high-throughput systems Scale infrastructure to enable AI and data-driven product features Shape technical decisions and direction as part of the early engineering team Location This position is based in Bengaluru, Karnātaka, India.

Senior Backend Software EngineerBengaluru, India About Ambient.ai Ambient.ai builds an agentic physical security platform focused on preventing incidents and improving physical security operations. Our technology helps enterprises reduce risk, streamline operations, and gain actionable insights. Seven of the top 10 U.S. technology companies and many Fortune 500 firms trust Ambient.ai to protect people, places, and assets. The platform uses advanced AI to connect with existing cameras and sensors, enabling real-time monitoring and proactive threat detection. By reducing false alarms by over 95%, Ambient.ai allows security teams to focus on real threats and prevent incidents before they escalate. Founded in 2017, Ambient.ai is a Series B company backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures. Our mission: make every security incident preventable. Recently, Ambient.ai was ranked #71 on the Forbes Best Startup Employers List. Learn more about us on LinkedIn and YouTube. Role Overview Ambient.ai is building its India Technology Engineering division in Bengaluru. Reporting to Kiran Palan and Vikesh Khanna, this role will shape the core platform and strengthen security engineering, while helping establish the India Technology Centre. What You Will Do Design and build REST and GraphQL APIs Develop highly available, low-latency, fault-tolerant microservices Create core infrastructure for large-scale video streaming data processing Improve backend service performance, reliability, and scalability Lead the development of complex platform features from concept to deployment

Join Databricks as a Staff Software Engineer and be part of our mission to empower data teams to tackle some of the world's most challenging problems. From revolutionizing transportation to speeding up medical innovations, we create and manage the leading data and AI infrastructure platform that allows our customers to harness deep data insights and enhance their businesses. Founded by engineers with a customer-first mindset, we eagerly tackle every technical challenge, whether it's designing next-gen UI/UX for data interaction or expanding our services and infrastructure to millions of virtual machines.Databricks Mosaic AI introduces a pioneering, data-centric methodology for developing enterprise-grade Machine Learning and Generative AI solutions. This approach enables organizations to securely and cost-effectively manage and deploy ML and AI models utilizing their proprietary data. We're excited to expand our presence in Bengaluru, India, as we establish 10 new teams from the ground up!As a Staff Software Engineer at Databricks, you will have the opportunity to work in the following areas:Backend DevelopmentDistributed Data Systems (DDS)Full Stack EngineeringYour Impact:1. Engage with our Backend teams across diverse domains, addressing challenges such as:Developing solutions that integrate product and infrastructure aspects, including distributed systems, scalable service architecture, monitoring, workflow orchestration, and enhancing developer experience.Delivering reliable, high-performance services and client libraries for managing vast amounts of data on cloud storage platforms like AWS S3 and Azure Blob Store.Creating robust, scalable services using technologies such as Scala and Kubernetes, as well as data pipelines with Apache Spark™, to support pricing infrastructure serving millions of cluster-hours daily, and developing features that enable customers to effortlessly monitor and control platform usage.2. Collaborate with our DDS team, which focuses on:Apache Spark™Data Plane StorageDelta LakeDelta PipelinesPerformance Engineering3. As a Full Stack Engineer, work alongside team members and product management to create delightful user experiences.

Join Eurofins as an AI Software Engineer and contribute to cutting-edge projects at the forefront of technology. You will be responsible for designing, developing, and implementing AI solutions that drive innovation and efficiency. Collaborate with a talented team of engineers and data scientists to transform complex data into actionable insights.This role offers the opportunity to work in a dynamic environment where creativity and technical expertise are valued.

Collaborate to Innovate in Streaming. Join Roku's Vision to Revolutionize TelevisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to power every television globally. We have transformed how people enjoy their favorite shows and movies by connecting consumers to the content they love, assisting publishers in reaching vast audiences, and offering advertisers unique tools to engage effectively.At Roku, your contributions will be recognized from day one. We are a rapidly expanding public company where every team member plays a pivotal role. This is your chance to impact millions of TV streamers worldwide while gaining valuable experience across diverse fields. About Our Team The Ad Data Activation organization is at the forefront of building a reliable, privacy-conscious, and scalable data foundation vital to Roku’s advertising growth. We develop identity systems, device graph pipelines, audience platforms, and insights tools that empower precise targeting, measurement, and reporting across Roku Ads. We are seeking a Senior Machine Learning Engineer to enhance our systems' intelligence. You will operate at the intersection of large-scale data platforms, applied machine learning, and generative AI, developing functionalities that make Roku's advertising data actionable for both internal teams and advertisers. This role involves creating core generative AI platform features for Roku Advertising, alongside applying traditional ML techniques.

Teamwork makes the stream work. Roku is transforming the way the world experiences television.As the leading TV streaming platform in the U.S., Canada, and Mexico, Roku aims to empower every television globally. We have pioneered streaming to the TV and strive to be the platform that connects the entire TV ecosystem. Our mission is to connect consumers with their favorite content, assist content publishers in growing and monetizing their audiences, and provide advertisers with unique ways to engage consumers.From your first day with Roku, your contributions will be valued. As a rapidly growing public company, we encourage active participation from all team members. This role offers you the chance to make an impact on millions of TV streamers worldwide while gaining valuable experience across various disciplines. About the Team The Advertising Performance team is dedicated to optimizing the experience for Advertisers, Publishers, and Roku. Our systems and solutions employ advanced disciplines and technologies to achieve real-time multi-objective optimization within distributed systems, ensuring large-scale performance with minimal latency. Leveraging Machine Learning, Reinforcement Learning, AI, Control, and Optimization Systems, and Auction Dynamics, we tackle a wide array of complex challenges. Central to our operations is the Machine Learning, Experimentation, and Inference Platform, which we continuously enhance to adapt to the evolving landscape. About the Role In this position, you will play a pivotal role in developing cutting-edge machine learning solutions...