About the TeamJoin our dynamic AI Deployment Engineering team, dedicated to facilitating the secure and effective implementation of Generative AI applications for a diverse array of developers and enterprises. As trusted advisors and thought leaders, we strive to build a compelling backlog of GenAI use cases tailored to various industries, guiding our clients from concept to production with robust technical support. Our clientele ranges from innovative startups to established multinational corporations, all seeking to harness the power of AI.About the RoleWe are in search of a skilled and business-savvy AI Deployment Engineer who is passionate about pushing the boundaries of advanced AI technology with our strategic startup partners. In this role, you will collaborate with some of the most exciting AI startups globally, supporting them through ideation, development, delivery, and scaling to enhance the value of their creations on our platform. You will engage with innovative and creative use cases developed on our API, acting as a vital contributor to gathering and delivering high-quality product and model feedback internally. Close collaboration with Sales, Solutions Engineering, Applied Research, and Product teams is essential, and you will report directly to the Startups Solutions Architecture Lead.This role offers the flexibility of remote work from Bangalore.In this role, you will:Collaborate closely with strategic startup partners as their technical advisor, assisting them in developing innovative applications on our API and expediting their journey from concept to scalability.Provide proactive insights to optimize business outcomes and accelerate the development of applications.Engage in experimental prototyping with customers, showcasing practical applications of AI.Contribute to open-source initiatives and promote growth within the function by sharing knowledge, codifying best practices, and creating valuable resources.Gather and relay meaningful feedback to Product and Research teams.Cultivate relationships within the startup ecosystem, acting as a technical partner for both individual clients and the broader community.You’ll excel in this role if you:Possess 5+ years of experience in software engineering, machine learning engineering, or a related field, preferably within a startup setting; experience as a founder or founding engineer is highly regarded.

About Neo4j:Neo4j is a leading graph intelligence platform that revolutionizes data into actionable insights, empowering the next generation of intelligent applications and AI systems. We offer enterprise-grade knowledge graphs for accurate, explainable, and compliant AI; comprehensive and trusted graph capabilities that seamlessly integrate across any environment and data source; and a vibrant ecosystem recognized by 84 out of the Fortune 100 companies, supported by the world's largest graph community. Experience intelligence that truly works and delivers real results.Our platform is designed for universal compatibility, enabling integration across all cloud environments to foster dynamic, personalized, and autonomous AI systems. We provide accelerated outcomes, contextual insights, and solutions that significantly enhance customer and employee engagement across various sectors.Our Vision:At Neo4j, our mission is to help the world decipher complex data relationships. As business, society, and knowledge become more interconnected, our technology fosters innovation by enabling organizations to discover and understand these relationships. We are pioneers in the graph database space, transforming how companies leverage their data to innovate and remain competitive.Role SummaryAs a Solutions Engineer within Neo4j’s Startup Program, you will play a crucial role in assisting AI-driven startups in effectively implementing graph and LLM solutions. Your mission is to ensure these startups deeply integrate Neo4j into their systems, evolving into long-term, high-value partners.This is a highly technical, customer-centric position focused on guiding AI startups through successful onboarding, solution design, and scaling their Neo4j utilization over time. The role encompasses solution architecture, technical consulting, and continuous customer engagement to support startups from initial experimentation to full production deployment.Key ResponsibilitiesTechnical Leadership for Startup CustomersAct as the primary technical liaison for a portfolio of AI startups in the program.Assist teams in designing, building, and deploying Neo4j-centric architectures.Provide insights on best practices for Neo4j usage in both Aura and self-managed environments, focusing on scaling, performance, and production readiness.Diagnose implementation challenges and guide customers towards effective technical solutions.

The AI Deployment Manager oversees the rollout and integration of AI solutions at Jobgether in India. This position guides teams through the process of bringing new AI technologies into daily operations, aiming to improve efficiency and support ongoing innovation. Role overview This role involves close collaboration with cross-functional teams. The AI Deployment Manager ensures that AI tools are smoothly incorporated into existing systems and workflows, helping teams adapt to new processes and technologies. What you will do Lead the deployment of AI solutions across the organization Work with various departments to integrate AI tools into established processes Support teams as they adopt and use new AI technologies Collaboration Regular communication with technical and non-technical colleagues is essential. The AI Deployment Manager acts as a bridge between teams, making sure that AI initiatives align with organizational goals and existing workflows.

Role Overview OpenAI is hiring an AI Deployment Engineer for the Codex team in Delhi, India. This role focuses on implementing and managing advanced AI systems. The position involves working closely with colleagues from different teams to deploy AI solutions that support innovation and improve efficiency.

Join us at Karat, the largest interviewing company in the world.At Karat, we are revolutionizing how companies across the globe approach hiring. Our platform empowers technical leaders from industry giants like PayPal, Atlassian, and Citi to take control of their hiring processes, enhance their teams, and stay competitive. Our innovative system includes live, expert-led interviews, insightful analytics, and the most comprehensive interview performance dataset available.Become a part of our Go-to-Market Deployment teamIn our GTM Customer Deployment team, technical expertise meets strategic collaboration. We act as the critical link between Karat's platform and the success of our enterprise clients. From the first implementation to continuous optimization, we engage in in-depth technical consultations, performance analysis, and collaborative efforts with clients' engineering teams to ensure that every partnership achieves measurable hiring results.Your RoleAs a Senior Deployment Engineer, you will be the key technical advisor for our clients, utilizing your expertise and consultative skills to maximize their benefits from Karat's interview platform throughout their partnership lifecycle. You will collaborate closely with our interview content team and data engineers to analyze performance metrics, create personalized proposals, and strengthen client relationships to ensure they consistently achieve their hiring objectives through our fair and predictive interview process.This position may require up to 20% travel for essential in-person meetings with enterprise prospects and attendance at industry events.Work hours will primarily align with IST, with some internal meetings scheduled according to U.S. time zones.

About Our TeamThe AI Deployment Management (ADM) team empowers organizations to leverage OpenAI products to create meaningful, lasting impacts through exceptional training and enablement initiatives.Our mission is to facilitate the successful integration and operationalization of AI technologies within customer organizations. We collaborate with enterprises to transform the potential of OpenAI's innovative technologies into sustainable capabilities via structured training, technical enablement, and scalable deployment strategies.By guiding clients from experimentation to production, the ADM team accelerates time-to-value, enhances product adoption, and ensures that OpenAI becomes an integral part of organizational workflows.About the RoleThe AI Deployment Manager is a specialized post-sales enablement position focused on delivering impactful enablement and adoption services across OpenAI's diverse product offerings. This role involves designing and implementing technical enablement experiences that facilitate a repeatable adoption framework—driving sustained activation, broadening usage, and generating measurable business value across OpenAI's product suite, including ChatGPT Enterprise, Codex, Agents, and the API. Responsibilities include assisting clients in understanding and effectively applying the necessary deployment harnesses, evaluation layers, and operational controls for reliable utilization.This position integrates deep technical knowledge, instructional design, and customer advisory. You will conduct live training sessions, workshops, and adoption initiatives for various audiences, from hands-on developers to executive leaders, guiding them to comprehend not only the capabilities of OpenAI's products but also the effective application in real-world scenarios.Success in this role translates to enhanced customer confidence, increased product adoption, successful launches of new product features, and the translation of technical capabilities into tangible outcomes for customers.This role is primarily remote but candidates based in Mumbai, India are especially encouraged to apply.

About the Role Armissecurity is looking for a Deployment Engineer in Bengaluru, Karnataka. This role focuses on deploying and maintaining security solutions for clients. The position works closely with teams across the company to deliver strong service and support. What You Will Do Deploy security products and solutions at client sites or remotely Maintain and monitor system performance after deployment Work with internal teams to resolve issues and improve client experience Support customers to ensure satisfaction with deployed solutions Location Bengaluru, Karnataka, India

Role Overview ifs1 is hiring a Forward Deployment Engineer in Pune. This position focuses on deploying and integrating company solutions across diverse client environments. The role plays a key part in upholding strong performance standards and supporting customer satisfaction.

About UsEma is at the forefront of pioneering AI technology designed to empower every employee in the enterprise to unleash their creativity and maximize productivity. Our unique technology enables businesses to delegate repetitive tasks to Ema, the Universal AI employee. Founded by former executives from Google, Coinbase, and Okta, along with experienced entrepreneurs, we are backed by some of the most prestigious investors and angel investors globally. With a presence in Silicon Valley and Bangalore, we offer a hybrid working environment where employees are expected to work from the office three days a week.Your RoleAs a Deployment Engineer at Ema, you will be essential in ensuring seamless, stable, and secure deployments of our innovative solutions in customer environments. You will collaborate closely with internal DevOps teams and customer stakeholders to manage infrastructure, oversee deployments, and uphold production stability.Your ResponsibilitiesInfrastructure SetupDesign and provision cloud-based infrastructure on platforms such as GCP, Azure, and AWS tailored to specific customer requirements.Implement best practices to ensure security, scalability, and compliance.Deployment ManagementConduct regular on-call SaaS deployments with minimal downtime or disruption.Automate and optimize deployment workflows to enhance efficiency.Production StabilityMonitor logs, alerts, and metrics to maintain uptime and meet SLAs (99.9%+ availability).Proactively diagnose and resolve production issues.Observability and ReportingCollaborate with DevOps to improve monitoring dashboards and alert frameworks.Provide actionable insights on system health and performance to stakeholders.Documentation and Knowledge TransferMaintain up-to-date deployment runbooks, troubleshooting guides, and environment configurations.Facilitate smooth knowledge transfer across teams for effective handovers.

Join us as a Co-Founder at weekday-1, where we are revolutionizing the real estate industry through cutting-edge artificial intelligence technology. As a key member of our startup, you will play a vital role in shaping our vision and driving our growth. We are looking for an entrepreneurial spirit with a passion for innovation and a deep understanding of the real estate sector.

Join Avoca as a Deployment Engineer and be a key player in our innovative team. This fully remote position offers you the chance to work with cutting-edge technology, collaborating with talented professionals to deploy and maintain high-quality software solutions.

Roles & Responsibilities:As a Senior Engineer specializing in Deployment, you will design, develop, and maintain both real-time and offline Ansible-based deployment scripts tailored for customized operating system software across various environments, including labs, factories, and field sites.You will take ownership of Ansible playbooks, roles, inventories, and variables, ensuring that your automation solutions are idempotent, modular, and reusable.Your role will include integrating deployment automation into CI/CD pipelines, which involves linting, testing, and validating deployment artifacts.You will also be responsible for writing and maintaining unit and integration tests, as well as participating in code reviews to ensure the highest quality and adherence to best practices in deployment.Your expertise will be crucial in developing and supporting controls software deployment, particularly for grid-scale battery energy storage systems and power conversion systems from leading manufacturers.Your deployments will need to meet stringent requirements for robustness, security, performance, scalability, and maintainability.Additionally, you will optimize latency, throughput, and reliability on Linux and embedded platforms.As a mentor, you will provide technical guidance through design discussions, documentation, and code reviews, though formal people management is not required.You are expected to deliver projects on time and support release commitments while tracking, managing, documenting, and reporting your work using JIRA and Confluence, including deployment procedures and troubleshooting guides.

AST SpaceMobile is pioneering the world's first global cellular broadband network in space, designed to operate seamlessly with standard, unmodified mobile devices. Our extensive intellectual property and patent portfolio enables us to cater to both commercial and government needs. Our mission is to bridge the connectivity gaps experienced by the five billion mobile subscribers worldwide and to extend broadband access to the billions who are still without.Position OverviewThe RAN Deployment Engineer for India will be instrumental in executing all deployment, installation, and integration activities necessary to establish reliable satellite-to-mobile connectivity across India and in global initiatives. This role encompasses supporting the construction of gateways and cell sites, conducting beam surveys, validating field installations, uploading configurations, and performing probe-based integration checks to guarantee RAN readiness for satellite network activation.This position collaborates closely with regional engineering teams, the Network Operations Center (NOC), vendors, and global deployment groups to troubleshoot technical challenges, ensure high integration quality, and facilitate seamless service enablement.Positioned at the intersection of field engineering and advanced satellite-RAN deployment, the RAN Deployment Engineer must exhibit precision during installation, uphold disciplined validation practices, and ensure continuous collaboration with cross-functional teams. This role requires balancing technical accuracy, operational urgency, and compliance with regulatory variations across India to secure smooth and consistent operations.

Join our dynamic team as a Senior Deployment and Operations Engineer at Megaport, where you will play a critical role in enhancing our cloud connectivity services. Your expertise will drive the deployment of innovative solutions, ensuring seamless operations and superior customer experiences. Collaborate with cross-functional teams to optimize workflows, troubleshoot complex issues, and implement best practices in deployment strategies.

Role Overview Sutherland is seeking a Windows Image Creation & Deployment Engineer in Bengaluru. This role focuses on building and deploying Windows images for a range of environments, ensuring each image meets high standards for performance and security. What You Will Do Create, maintain, and deploy Windows images tailored to different operational needs Work closely with cross-functional teams to gather and clarify image requirements Troubleshoot deployment issues to support a smooth rollout across devices Help deliver a seamless user experience during and after deployment Who Succeeds Here Detail-oriented engineers who care about quality and reliability Professionals with a strong interest in technology and process improvement

ElevenLabs is an AI research and product company launched in January 2023. The team has developed a human-like AI voice model now used by millions, from startups to global organizations like Deutsche Telekom and Meta. Backed by $781M in funding from investors such as Andreessen Horowitz, ICONIQ Growth, and Sequoia, ElevenLabs has reached a valuation of $11B. The company offers several platforms, including: ElevenAgents: Solutions for deploying scalable voice and chat agents, complete with integrations, testing, and monitoring features. ElevenCreative: Tools for creators and marketers to generate and edit speech, music, images, and videos in more than 70 languages. ElevenAPI: API access for developers to AI audio foundational models. The team includes researchers, engineers, and operators with backgrounds such as IOI medalists and former founders. Creativity and dedication shape the work at ElevenLabs. How the team works Teams move quickly, experiment, and operate with autonomy, minimizing bureaucracy. Results and impact matter more than job titles. AI is central to improving speed and quality in every area, from engineering to operations. High standards guide every project, matching the quality of the AI models. The team is global, with talent valued regardless of location. What the company offers A culture that encourages pushing the boundaries of AI. Opportunities for long-term impact and growth beyond the initial role. Support for ongoing professional and personal development.

Leading financial institutions worldwide leverage Zafin's integrated platform to unlock transformative value for their customers. Our advanced AI-driven architecture consolidates enterprise data to foster rapid product and pricing innovation, optimize deal management and billing processes, and curate personalized customer solutions that enhance growth and loyalty.At Zafin, we empower banks to achieve sustainable growth, solidify their competitive edge, and shape the future of banking with a strong focus on customer value.MissionTo deliver reliable and automated application deployments across all Azure environments, employing robust CI/CD practices to minimize risk and ensure rapid recovery.

Founded in 2019, Level AI is a dynamic Series C startup based in Mountain View, California, that is reshaping the landscape of customer engagement. Our innovative AI-driven platform transforms traditional contact centers into strategic assets, utilizing state-of-the-art technologies like Large Language Models to derive profound insights from customer interactions. By delivering actionable intelligence, Level AI enables organizations to elevate customer experiences and foster growth. With a commitment to integrating the latest advancements in AI, we are recognized as a forward-thinking and flexible solution in the industry.

Meraki Labs, based in Bangalore, serves as an incubation center for startups, founded by Mukesh Bansal (Myntra, Curefit, Nurix AI). The team works on transforming ideas in technology, health, commerce, education, and artificial intelligence into real companies. Engineering is led by Peeyush Ranjan, whose background includes leadership at Google, Airbnb, and Flipkart. Role overview The AI Engineer role at Meraki Labs centers on building and refining AI workflows for new products. This position involves developing systems from the earliest concept through to production, with a focus on real-world readiness, scalability, and observability. Engineers here take broad responsibility, seeing their work move quickly from idea to deployment. The role is not a fit for those seeking only narrowly defined tasks or purely research/backend work. What you will build Recommendation and personalization features, such as reader memory, preference signals, and adaptive discovery tools Retrieval-augmented Q&A systems, including content ingestion, chunking, embedding, and re-ranking for precise answers Comprehension and annotation tools, including auto-summaries, key-passage extraction, and smart highlights Content understanding pipelines that handle diagrams and audio/voice data Production engineering focus Reduce latency and costs using caching, batching, streaming, and fallback strategies Improve observability through traces, logs, metrics, and prompt/version tracking Maintain reliability and safety with guardrails, refusal mechanisms, and age-appropriate content controls End-to-end ownership Lead features from product requirements through implementation, deployment, monitoring, and iteration Work closely with product and design teams to translate reading goals into AI-driven behaviors Requirements 5 to 10 years of strong Python programming experience, with a focus on clean code and practical problem solving Background in building scalable services and systems Location: Bangalore, India