Job Title: HPC Network Engineer Location: Mumbai Experience: Minimum 5 years of relevant network experience Job Overview: We are seeking a highly skilled and experienced HPC Network Engineer to join our team. The ideal candidate will have a strong background in setting up and managing high-performance computing (HPC) networks with cutting-edge technologies such as 400G and 800G network connectivity. This role involves designing, implementing, and troubleshooting complex network architectures tailored to HPC and GPU-based systems. The engineer will also play a critical role in enabling efficient GPU interconnects and scaling AI and HPC workloads. Key Responsibilities: HPC Network Deployment : Design, deploy, and maintain HPC networks with 400G/800G connectivity. Optimize network performance for large-scale computing environments. Advanced Networking Expertise : Deep understanding and hands-on experience with RoCE (RDMA over Converged Ethernet) and Infiniband technologies. Collaborate with cross-functional teams to architect and implement robust HPC networking solutions. Architectural Design and Communication : Develop and present complex network architectures to technical and non-technical stakeholders. Translate customer requirements into scalable and efficient network designs. GPU Communication Frameworks : Expertise in NVLink and NVSwitch for high-speed GPU-to-GPU communication. Optimize interconnects for distributed training and inference workloads. Technology Expertise : Hands-on experience with switches and networking equipment from Broadcom, Arista, Mellanox, Juniper, Cisco, SONiC, or Dell . Familiarity with NVIDIA, AMD, and Intel HPC architectures and their network integration requirements. Storage Networking for HPC and AI : Integrate GPUDirect Storage and NVMe-oF for efficient data movement between storage and GPUs. Optimize data pathways for high-speed storage access in HPC workloads. Problem Solving and Troubleshooting : Monitor, analyze, and troubleshoot network performance issues. Implement monitoring tools to ensure high availability and reliability of the HPC network. Customer-Centric Solutions : Engage with customers to understand their requirements and deliver tailored solutions on the fly. Provide ongoing support and documentation for implemented solutions. Comprehensive Network Knowledge : Expertise in end-to-end network monitoring, analysis, troubleshooting, and implementation. Stay updated on industry trends, standards, and best practices for HPC networking. AI and HPC Workload Integration : Support hybrid workloads combining AI and traditional HPC tasks. Scale large language models and scientific simulations across GPU clusters with minimal latency. Required Skills and Qualifications: Minimum 5 years of hands-on experience in core network engineering. Proven expertise in configuring and managing 400G or 800G network environments. Strong knowledge of RoCE and Infiniband protocols. Hands-on experience with NVLink and NVSwitch in GPU-based environments. Familiarity with networking equipment and technologies from vendors such as Broadcom, Arista, Mellanox, Juniper, Cisco, SONiC, or Dell . Experience working with NVIDIA, AMD, or Intel HPC and GPU architectures . Ability to conceptualize and explain complex network designs to diverse audiences. Strong analytical and troubleshooting skills in high-performance environments. Excellent communication and customer engagement skills to address requirements and provide solutions effectively. Preferred Qualifications: Industry certifications such as CCNP, CCIE, or equivalent. Experience in scripting and automation for network operations. Exposure to large-scale HPC deployments in data center environments. Knowledge of software-defined networking (SDN) and virtualized networking environments. Familiarity with AI-specific frameworks like TensorFlow , PyTorch , or Horovod in distributed setups. Why Join Us? Work on cutting-edge HPC and GPU-based technologies. Collaborate with industry leaders in AI and cloud infrastructure. Competitive compensation and growth opportunities. Opportunity to work in a dynamic and fast-paced environment. Show more Show less
Job Title: AI Researcher – Large Language Models (LLMs) Workplace Type: Work from Office @ Hyderabad Location: Hyderabad, Telangana, India Job Type: Full-Time About Us: We are a well-funded stealth-mode AI startup on a mission to redefine the boundaries of artificial intelligence. Our team is working on next-generation large language models (LLMs) and AI systems that empower businesses with state-of-the-art solutions. Our projects focus on: Training and Fine-Tuning Large Language Models (LLMs) Pioneering AI-Powered Solutions Advancing the Future of AI Technology If you're driven to work at the cutting edge of AI research and love tackling complex problems, this is the opportunity for you! About the Role: We are seeking an AI Researcher with a passion for developing and fine-tuning large language models (LLMs). In this on-site role based in Hyderabad, you’ll contribute to the core AI team, working on groundbreaking projects in natural language processing and generative AI. This role is perfect for someone with 2+ year of hands-on experience who is eager to make a big impact in a fast-paced, innovative environment. Key Responsibilities: Develop, fine-tune, and optimize large language models (LLMs) for various applications. Conduct research on cutting-edge methods in NLP, transformers, and generative AI. Design and implement training pipelines using frameworks like PyTorch or TensorFlow . Work on data preprocessing and augmentation to enhance model performance. Evaluate models using advanced metrics and iterate to improve accuracy, efficiency, and scalability. Collaborate with cross-functional teams to deploy models in production environments. Experiment with and implement state-of-the-art techniques such as LoRA , quantization , or knowledge distillation for efficient model fine-tuning. Stay updated with the latest research papers and advancements in the field of AI and NLP. What We’re Looking For: Education & Experience: A Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. 2+ year of hands-on experience in training and fine-tuning large-scale NLP models or related AI research. Technical Skills: Frameworks : Expertise in deep learning frameworks like PyTorch or TensorFlow . LLM Experience : Hands-on experience with models like GPT, BERT, T5 , or similar transformer-based architectures. Data Handling : Strong skills in preparing, cleaning, and processing large text datasets. Optimization Techniques : Familiarity with fine-tuning methods such as LoRA, Prompt Tuning , or Adapter Training . Evaluation : Knowledge of advanced metrics for NLP tasks (e.g., BLEU, ROUGE, perplexity). Programming : Proficiency in Python and relevant libraries (e.g., Hugging Face Transformers, NumPy, Pandas). Distributed Training : Exposure to multi-GPU training or distributed frameworks is a plus. Bonus Skills: Familiarity with model deployment using frameworks like ONNX , FastAPI , or Docker . Knowledge of efficient model compression techniques (e.g., quantization or pruning). Research contributions (publications, open-source projects) in the field of AI or NLP. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills to articulate technical concepts effectively. A collaborative mindset with the ability to thrive in a fast-paced, innovative team. What We Offer: Opportunity to work on cutting-edge AI projects and shape the future of LLMs. A competitive salary and benefits package. A dynamic, research-driven work environment that encourages creativity and innovation. Ready to Build the Future of AI? If you’re passionate about AI research and eager to work on groundbreaking projects, we’d love to hear from you! Show more Show less
Job Description: AI Solution Architect Location: Hyderabad, India Experience: 5+ Years in AI Solution Architecture & Presales Type: Full-Time About Us: Join our fast-growing stealth-mode AI startup, where we are building cutting-edge AI solutions that transform businesses. We are looking for an experienced AI Solution Architect to lead presales, design technical solutions, and oversee successful delivery of AI-driven applications. This role is ideal for someone with expertise in Contact Center AI Automation, Conversational AI, and Support AI solutions who thrives in a fast-paced environment. Responsibilities: Lead AI solution architecture design and development for enterprise clients, ensuring alignment with business needs. Engage in presales activities , including client meetings, technical presentations, and proposal creation. Design and propose AI-based solutions for Conversational AI, Contact Center AI, and Support AI applications . Work closely with sales and business teams to translate customer requirements into scalable AI solutions. Oversee the implementation and delivery of AI solutions, ensuring best practices in MLOps, scalability, and performance optimization. Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to drive innovation. Conduct technical deep-dives, POCs, and architecture reviews with customers. Stay updated with the latest AI trends and technologies to provide state-of-the-art solutions. Qualifications: Educational Background: Bachelor's or Master’s in Computer Science, AI, or related field. Experience: 5+ years in AI solution architecture, presales, or technical consulting. Technical Expertise: Strong knowledge of AI/ML frameworks such as TensorFlow, PyTorch, OpenAI, and cloud-based AI platforms (AWS, Azure, GCP). Domain Knowledge: Prior experience in Contact Center AI, Conversational AI, or Support AI automation is highly preferred. Solutioning & Delivery: Proven ability to design scalable AI solutions and drive end-to-end implementation. Presales Exposure: Ability to engage with customers, present technical solutions, and create proposals/RFPs. MLOps & Deployment: Experience with AI/ML model deployment, APIs, and integration with enterprise systems. Communication Skills: Strong ability to communicate complex AI concepts to both technical and non-technical stakeholders. Preferred Skills: Exposure to AI-powered chatbots, voice assistants, and NLP-based automation. Experience working with enterprise clients in AI transformation initiatives. Hands-on expertise in integrating AI with CRM, IVR, and cloud-based contact center solutions. Familiarity with regulations and compliance in AI-driven customer support. Show more Show less
Job Title: Network Architect – AI Data Center Infrastructure Workplace Type: On-Site Location: Mumbai Job Type: Full-Time About Us: We are a well-funded stealth-mode AI startup on a mission to redefine global computational infrastructure by establishing a cutting-edge AI data center offering GPU compute services. Our state-of-the-art infrastructure will support global customers across industries, enabling seamless access to high-performance GPU compute for AI, machine learning, and deep learning workloads. If you’re passionate about designing robust and scalable network architectures for next-generation AI data centers, this is the opportunity to join a dynamic team at the forefront of technological innovation. About the Role: We are seeking a highly skilled Network Architect to lead the design, deployment, and management of the network infrastructure for our AI data center. You will play a critical role in ensuring high availability, low latency, and scalability for the data center’s operations, supporting global GPU compute workloads. Key Responsibilities: Network Architecture Design: Design and implement the network architecture for a high-performance AI data center, ensuring scalability, security, and fault tolerance. Plan and design multi-tier network architectures to support distributed GPU workloads, storage, and compute nodes. High-Performance Networking: Optimize network configurations for low-latency, high-bandwidth communication between compute and storage nodes. Implement high-speed interconnects (e.g., InfiniBand, RDMA, Ethernet fabrics) for GPU workloads. Infrastructure Deployment: Oversee the deployment of network hardware, including switches, routers, firewalls, and load balancers. Implement SDN (Software-Defined Networking) solutions to streamline traffic flow and management. Global Connectivity: Design secure and reliable global connectivity solutions for seamless access by customers across geographies. Collaborate with ISPs and telecom providers for WAN optimization and global network reach. Security and Compliance: Establish robust network security protocols, including firewalls, VPNs, and intrusion detection/prevention systems (IDS/IPS). Ensure the network complies with industry standards, including GDPR, HIPAA, and ISO 27001. Monitoring and Maintenance: Implement network monitoring and performance tools to ensure uptime and reliability. Define SLAs and troubleshoot network-related issues to minimize downtime. Collaboration: Work closely with infrastructure, storage, and software teams to align network design with the data center's operational requirements. Provide technical guidance to engineers and stakeholders during project execution. Innovation and Optimization: = Stay updated on emerging technologies like NVMe-over-Fabrics, 400G Ethernet, and AI-optimized networking solutions. Propose upgrades to improve performance, reduce costs, and optimize energy efficiency. What We’re Looking For: Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, Networking, or a related field. Relevant certifications (e.g., CCIE, JNCIE, or AWS/Azure/GCP networking certifications) are highly desirable. Experience: 8+ years of experience in network architecture, with a focus on data centers and high-performance networking. Proven experience designing and deploying network solutions for large-scale, distributed environments. Technical Expertise: Networking Protocols: In-depth knowledge of TCP/IP, BGP, OSPF, MPLS, VXLAN, and EVPN. Data Center Networking: Hands-on experience with high-speed networking technologies such as InfiniBand, RDMA, and 400G Ethernet. Hardware and Tools: Proficiency with Cisco, Juniper, Arista, and Mellanox network devices. Cloud Integration: Familiarity with hybrid cloud and multi-cloud networking solutions (AWS, GCP, Azure). Network Automation: Experience with automation tools like Ansible, Terraform, and Python scripting. Security: Expertise in firewalls, VPNs, IDS/IPS, DDoS mitigation, and Zero Trust Architecture. Monitoring and Analytics: Experience with tools like Nagios, Zabbix, SolarWinds, and NetFlow. Soft Skills: Strong problem-solving and analytical skills to tackle complex network challenges. Excellent communication skills to articulate technical concepts to non-technical stakeholders. Proven leadership and team collaboration abilities. What We Offer: Opportunity to design and implement a state-of-the-art AI data center from the ground up. A competitive salary and benefits package. A dynamic work environment that encourages innovation and professional growth. Ready to Build the Future of AI Infrastructure? Join us to shape the backbone of tomorrow’s AI-powered world! Show more Show less
Job Title: Backend Engineer – Connectors & Integrations – AI Super-Assistant for Enterprises Location: Remote / India Salary: $60,000 USD About Us We're building the world’s first AI Super-Assistant purpose-built for enterprises and professionals. Our platform is designed to supercharge productivity, automate workflows, and redefine the way teams work with AI. Our two core products: ChatLLM – Designed for professionals and small teams, offering conversational AI tailored for everyday productivity. Enterprise Platform – A robust, secure, and highly customizable platform for organizations seeking to integrate AI into every facet of their operations. We’re on a mission to redefine enterprise AI – and we’re looking for engineers ready to build the connective tissue between AI and the systems that power modern business. Role: Backend Engineer – Connectors & Integrations As a Backend Engineer – Connectors & Integrations, you’ll play a key role in expanding the capabilities of our AI assistant by building, maintaining, and optimizing integrations with enterprise data systems and identity platforms. You’ll help our AI understand, access, and interact with the systems our customers rely on – securely, seamlessly, and at scale. What You’ll Do Develop, maintain, and troubleshoot connectors for enterprise platforms and databases. Work with APIs, SDKs, and integration frameworks to connect to systems such as: Authentication & Identity Providers : Active Directory, Entra ID (Azure AD) Databases & Warehouses : BigQuery, Snowflake, and other JDBC-compliant sources Productivity & File Systems : SharePoint, OneDrive, and similar platforms Ensure secure authentication, data access, and compliance across all integrations. Collaborate with product and AI teams to enable new use cases through connectivity. Write clean, maintainable, and well-documented code with a focus on scalability. Participate in code reviews, architecture discussions, and feature planning. What We’re Looking For Proficiency in building and managing integrations with: Active Directory / Entra ID (Azure AD) BigQuery, Snowflake, JDBC-compliant data sources SharePoint and similar enterprise platforms Strong experience in handling authentication, authorization (OAuth2, SAML, etc.) Solid programming experience in Python, JavaScript/TypeScript, or similar languages Familiarity with API design, RESTful services, and data transformation Passion for working on cutting-edge AI infrastructure and enterprise challenges Self-starter with the ability to work independently in a remote-first team Nice to Have Experience with enterprise security standards and compliance (SOC 2, ISO 27001, etc.) Previous experience in SaaS, AI, or enterprise IT products Understanding of enterprise IT environments and system architecture What We Offer Remote-first work environment Opportunity to shape the future of AI in the enterprise Work with a world-class team of AI researchers and product builders Flat team structure with real impact on product and direction $60,000 USD annual salary Ready to build the connective layer between the enterprise and the future of AI? Join us – and help power the world’s first AI super-assistant. Show more Show less
About Us We're building the world’s first AI Super-Assistant purpose-built for enterprises and professionals. Our platform is designed to supercharge productivity, automate workflows, and redefine the way teams work with AI. Our two core products: ChatLLM – Designed for professionals and small teams, offering conversational AI tailored for everyday productivity. Enterprise Platform – A robust, secure, and highly customizable platform for organizations seeking to integrate AI into every facet of their operations. We’re on a mission to redefine enterprise AI – and we’re looking for engineers ready to build the connective tissue between AI and the systems that power modern business. Role: Connector Integration Engineer – File Systems & Productivity Platforms As a Connector Integration Engineer focused on file systems, you’ll be responsible for building robust and secure integrations with enterprise content and collaboration platforms. You’ll enable our AI to retrieve, index, and interact with organizational documents, enabling powerful search, automation, and summarization features. What You’ll Do Build and manage connectors for productivity platforms including: SharePoint OneDrive Google Drive Work with Microsoft Graph APIs and related SDKs for document access Implement secure file access via OAuth2 and delegated permissions Enable metadata indexing and real-time syncing of document repositories Collaborate with product and AI teams to build document-aware AI experiences Troubleshoot access control issues, token lifecycles, and permission scopes Write reliable, maintainable backend code for secure data sync What We’re Looking For Experience building or working with SharePoint, OneDrive, or Google Drive APIs Strong understanding of document permissions, OAuth2, and delegated access Proficiency in backend languages like Python or TypeScript Ability to design integrations for structured and unstructured content Familiarity with API rate limits, refresh tokens, and file metadata models Solid communication skills and a bias for shipping clean, well-tested code Nice to Have Experience with Microsoft Graph SDK, webhook handling, or file system events Knowledge of indexing, search, or document summarization workflows Background in collaboration tools, SaaS products, or enterprise IT Exposure to modern security and compliance practices (SOC 2, ISO 27001) Candidates from top-tier tech environments or universities are encouraged to apply What We Offer Remote-first work environment Opportunity to shape the future of AI in the enterprise Work with a world-class team of AI researchers and product builders Flat team structure with real impact on product and direction $60,000 USD annual salary Ready to help our AI assistant work smarter with enterprise files? Join us – and power the world’s first AI Super-Assistant. Show more Show less
Job Title: Connector Integration Engineer – AI Super-Assistant for Enterprises Location: Remote / India Salary: $60,000 USD About Us We're building the world’s first AI Super-Assistant purpose-built for enterprises and professionals. Our platform is designed to supercharge productivity, automate workflows, and redefine the way teams work with AI. Our two core products: ChatLLM – Designed for professionals and small teams, offering conversational AI tailored for everyday productivity. Enterprise Platform – A robust, secure, and highly customizable platform for organizations seeking to integrate AI into every facet of their operations. We’re on a mission to redefine enterprise AI – and we’re looking for engineers ready to build the connective tissue between AI and the systems that power modern business. Role: Connector Integration Engineer As a Connector Integration Engineer , you’ll play a key role in expanding the capabilities of our AI assistant by building, maintaining, and optimizing integrations with enterprise data systems and identity platforms. You’ll help our AI understand, access, and interact with the systems our customers rely on – securely, seamlessly, and at scale. What You’ll Do Develop, maintain, and troubleshoot connectors for enterprise platforms and databases. Work with APIs, SDKs, and integration frameworks to connect to systems such as: Authentication & Identity Providers : Active Directory, Entra ID (Azure AD) Databases & Warehouses : BigQuery, Snowflake, and other JDBC-compliant sources Productivity & File Systems : SharePoint, OneDrive, and similar platforms Ensure secure authentication, data access, and compliance across all integrations. Collaborate with product and AI teams to enable new use cases through connectivity. Write clean, maintainable, and well-documented code with a focus on scalability. Participate in code reviews, architecture discussions, and feature planning. What We’re Looking For Proficiency in building and managing integrations with: Active Directory / Entra ID (Azure AD) BigQuery, Snowflake, JDBC-compliant data sources SharePoint and similar enterprise platforms Strong experience in handling authentication, authorization (OAuth2, SAML, etc.) Solid programming experience in Python, JavaScript/TypeScript, or similar languages Familiarity with API design, RESTful services, and data transformation Passion for working on cutting-edge AI infrastructure and enterprise challenges Self-starter with the ability to work independently in a remote-first team Nice to Have Experience with enterprise security standards and compliance (SOC 2, ISO 27001, etc.) Previous experience in SaaS, AI, or enterprise IT products Understanding of enterprise IT environments and system architecture What We Offer Remote-first work environment Opportunity to shape the future of AI in the enterprise Work with a world-class team of AI researchers and product builders Flat team structure with real impact on product and direction $60,000 USD annual salary Ready to build the connective layer between the enterprise and the future of AI? Join us – and help power the world’s first AI super-assistant. Show more Show less
About Us We're building the world’s first AI Super-Assistant purpose-built for enterprises and professionals. Our platform is designed to supercharge productivity, automate workflows, and redefine the way teams work with AI. Our two core products: ChatLLM – Designed for professionals and small teams, offering conversational AI tailored for everyday productivity. Enterprise Platform – A robust, secure, and highly customizable platform for organizations seeking to integrate AI into every facet of their operations. We’re on a mission to redefine enterprise AI – and we’re looking for engineers ready to build the connective tissue between AI and the systems that power modern business. Role: Connector Integration Engineer – Identity & Authentication Systems As a Connector Integration Engineer focused on authentication systems, you’ll be responsible for developing secure, scalable integrations with enterprise identity platforms. You’ll help our AI assistant interface with directory services and access management tools, enabling safe and seamless interactions across enterprise environments. What You’ll Do Develop, maintain, and troubleshoot connectors for identity providers and directory services Work with systems such as: Active Directory Entra ID (Azure AD) Implement secure authentication protocols including OAuth2, SAML, and JWT Manage access roles, token refresh flows, and session lifecycle Collaborate with product and AI teams to support identity-driven workflows Write clean, maintainable, and well-documented code with a focus on scalability Participate in code reviews, architecture discussions, and security audits What We’re Looking For Proficiency in building integrations with Active Directory and Entra ID Strong understanding of authentication and authorization protocols: OAuth2, SAML, JWT Familiarity with identity federation, access control, and enterprise security frameworks Solid programming experience in Python, TypeScript, or similar backend languages Experience working with APIs, identity SDKs, and token-based workflows Passion for secure system design and AI infrastructure Self-starter with the ability to work independently in a remote-first team Nice to Have Experience working with SCIM, LDAP, or identity lifecycle platforms Previous work in SaaS, enterprise identity, or infrastructure security Familiarity with SOC 2 or ISO 27001 compliance Background in high-growth tech companies or top engineering programs encouraged What We Offer Remote-first work environment Opportunity to shape the future of AI in the enterprise Work with a world-class team of AI researchers and product builders Flat team structure with real impact on product and direction $60,000 USD annual salary Show more Show less
About Us We're building the world’s first AI Super-Assistant purpose-built for enterprises and professionals. Our platform is designed to supercharge productivity, automate workflows, and redefine the way teams work with AI. Our two core products: ChatLLM – Designed for professionals and small teams, offering conversational AI tailored for everyday productivity. Enterprise Platform – A robust, secure, and highly customizable platform for organizations seeking to integrate AI into every facet of their operations. We’re on a mission to redefine enterprise AI – and we’re looking for engineers ready to build the connective tissue between AI and the systems that power modern business. Role: Connector Integration Engineer – File Systems & Productivity Platforms As a Connector Integration Engineer focused on file systems, you’ll be responsible for building robust and secure integrations with enterprise content and collaboration platforms. You’ll enable our AI to retrieve, index, and interact with organizational documents, enabling powerful search, automation, and summarization features. What You’ll Do Build and manage connectors for productivity platforms including: SharePoint OneDrive Google Drive Work with Microsoft Graph APIs and related SDKs for document access Implement secure file access via OAuth2 and delegated permissions Enable metadata indexing and real-time syncing of document repositories Collaborate with product and AI teams to build document-aware AI experiences Troubleshoot access control issues, token lifecycles, and permission scopes Write reliable, maintainable backend code for secure data sync What We’re Looking For Experience building or working with SharePoint, OneDrive, or Google Drive APIs Strong understanding of document permissions, OAuth2, and delegated access Proficiency in backend languages like Python or TypeScript Ability to design integrations for structured and unstructured content Familiarity with API rate limits, refresh tokens, and file metadata models Solid communication skills and a bias for shipping clean, well-tested code Nice to Have Experience with Microsoft Graph SDK, webhook handling, or file system events Knowledge of indexing, search, or document summarization workflows Background in collaboration tools, SaaS products, or enterprise IT Exposure to modern security and compliance practices (SOC 2, ISO 27001) Candidates from top-tier tech environments or universities are encouraged to apply What We Offer Remote-first work environment Opportunity to shape the future of AI in the enterprise Work with a world-class team of AI researchers and product builders Flat team structure with real impact on product and direction $60,000 USD annual salary Ready to help our AI assistant work smarter with enterprise files? Join us – and power the world’s first AI Super-Assistant. Show more Show less
About Us We’re building the connective layer between AI and the enterprise. Our AI Super-Assistant helps professionals and organizations boost productivity by integrating seamlessly with the systems they already use—securely, intelligently, and at scale. We're backed by world-class leadership and operate in a remote-first culture focused on solving hard technical problems that truly move the needle. About the Role We are looking for a Backend Engineer to join our Connectors team and lead the development of integrations with key enterprise platforms. You will build secure and scalable connections to systems like Snowflake, BigQuery, and SharePoint, helping our AI platform retrieve and interact with enterprise data in real-time. This role is ideal for someone who enjoys solving infrastructure and connectivity challenges, and has experience with APIs, cloud security, and enterprise data systems. Responsibilities Design and develop backend connectors to enterprise systems such as Snowflake, BigQuery, SharePoint, and similar platforms Implement secure access using protocols like OAuth2, SAML, and IAM role assumptions Collaborate with product and AI teams to identify new integration opportunities and ensure smooth data access Troubleshoot and optimize existing integrations for performance, scalability, and security Build internal tools to automate deployment, monitoring, and configuration of connectors Write clean, well-documented, and testable code for long-term maintainability What We’re Looking For 3 to 6 years of backend engineering experience with a strong focus on API integrations or enterprise connectivity Proficiency in Python, JavaScript/TypeScript, or a similar modern backend language Strong experience with enterprise systems such as BigQuery, Snowflake, SharePoint, or JDBC-compliant data sources Knowledge of AWS infrastructure including IAM, KMS, and secure cloud networking Familiarity with RESTful APIs, authentication mechanisms (OAuth2, JWT, SAML), and secure data handling practices Strong debugging skills and the ability to work with third-party SDKs or API documentation Excellent communication and collaboration skills in a distributed, remote team environment Nice to Have Experience with integration platforms or data pipelines (similar to Fivetran, Mulesoft, or Segment) Exposure to SOC 2, ISO 27001, or similar enterprise compliance and security standards Familiarity with CLI tools, SDK development, or scalable connector frameworks Background in high-growth tech environments or top-tier academic programs is a plus Candidates with strong fundamentals in computer science or systems engineering are encouraged to apply What We Offer Remote-first work environment with flexible hours $60,000 USD annually, based on experience and exchange rate Opportunity to shape mission-critical infrastructure and make meaningful product contributions Work with a high-caliber engineering and AI team solving impactful problems Fast-growing environment with ownership, mentorship, and upward mobility Show more Show less
About Us We're building the world’s first AI Super-Assistant purpose-built for enterprises and professionals. Our platform is designed to supercharge productivity, automate workflows, and redefine the way teams work with AI. Our two core products: ChatLLM – Designed for professionals and small teams, offering conversational AI tailored for everyday productivity. Enterprise Platform – A robust, secure, and highly customizable platform for organizations seeking to integrate AI into every facet of their operations. We’re on a mission to redefine enterprise AI – and we’re looking for engineers ready to build the connective tissue between AI and the systems that power modern business. Role: Connector Integration Engineer – Databases & Warehouses As a Connector Integration Engineer focused on data infrastructure, you’ll lead the development and optimization of connectors to enterprise databases and cloud data warehouses. You’ll play a critical role in helping our AI systems securely query, retrieve, and transform large-scale structured data across multiple platforms. What You’ll Do Build and maintain connectors to data platforms such as: BigQuery Snowflake Redshift and other JDBC-compliant databases Work with APIs, SDKs, and data drivers to enable scalable data access Implement secure, token-based access flows using IAM roles and OAuth2 Collaborate with AI and product teams to define data extraction and usage models Optimize connectors for query performance, load handling, and schema compatibility Write well-documented, testable, and reusable backend code Monitor and troubleshoot connectivity and performance issues What We’re Looking For Proficiency in building connectors for Snowflake, BigQuery, and JDBC-based data systems Solid understanding of SQL, API integrations, and cloud data warehouse patterns Experience with IAM, KMS, and secure authentication protocols (OAuth2, JWT) Strong backend coding skills in Python, TypeScript, or similar Ability to analyze schemas, debug query issues, and support high-volume pipelines Familiarity with RESTful services, data transformation, and structured logging Comfortable working independently on a distributed team Nice to Have Experience with Redshift, Postgres, or Databricks Familiarity with enterprise compliance standards (SOC 2, ISO 27001) Previous work in data engineering, SaaS, or B2B analytics products Background in high-growth tech companies or top-tier universities encouraged What We Offer Remote-first work environment Opportunity to shape the future of AI in the enterprise Work with a world-class team of AI researchers and product builders Flat team structure with real impact on product and direction $60,000 USD annual salary Ready to connect enterprise data to cutting-edge AI workflows? Join us – and help power the world’s first AI Super-Assistant. Show more Show less
Job Title: Senior Presales Consultant Company: Stealth AI Startup Location: Hyderabad, India About Us: We are a stealth-mode AI startup delivering cutting-edge AI as a Service (AIaaS) solutions to enterprise customers globally. Our services extend beyond AI, including Data Engineering and Data Platform projects, making us a trusted partner for enterprises seeking end-to-end data and AI solutions. Role Overview: We are looking for a highly motivated and detail-oriented Senior Presales Consultant to join our growing team. The ideal candidate will bring expertise in AI and Data Engineering projects, working closely with clients, sales teams, and technical teams to create compelling proposals and solutions. This role is pivotal in driving revenue growth by managing presales activities and ensuring successful bid submissions. Key Responsibilities: Presales Activities: Collaborate with sales and technical teams to understand client requirements and design tailored AI and Data Engineering solutions. Develop high-quality proposals, presentations, and solution documents that effectively address client needs. Conduct detailed requirement analysis, gap assessments, and feasibility studies to align solutions with client expectations. Bid Management: Own the end-to-end bid management process, from bid qualification to submission and post-submission follow-ups. Coordinate with cross-functional teams to gather inputs for RFPs, RFQs, and RFIs. Ensure compliance with client’s requirements and deadlines while maintaining high-quality submissions. Solution Design: Work with technical teams to define solution architecture, including AI models, Data Lakes, Data Warehouses, and advanced analytics platforms. Propose solutions around Natural Language Processing (NLP), Computer Vision, and Speech Recognition. Design offerings for AI model building, fine-tuning as a service, and NVIDIA GPU as a Service. Stay updated on emerging technologies in AI and Data Engineering to propose innovative solutions. Client Engagement: Participate in client meetings, presentations, and workshops to articulate solution benefits and capabilities. Address client queries and concerns effectively during the presales and bidding phases. Knowledge Management: Maintain a repository of reusable content such as case studies, solution templates, and technical artifacts. Regularly update documentation and ensure alignment with industry trends. Required Skills & Experience: Experience: 5+ years in Presales, Bid Management, or Solution Consulting, with at least 3 years in AI and Data Engineering projects. Technical Knowledge: Hands-on experience or familiarity with AI technologies, including NLP, Computer Vision, and Speech Recognition. Knowledge of AI model building and fine-tuning processes. Familiarity with Data Engineering tools such as IBM Watson, Databricks, Apache Iceberg, Snowflake, Azure Synapse, and Google BigQuery. Understanding of NVIDIA GPU offerings and cloud platforms like AWS, Azure, or GCP. Project Exposure: Proven experience in working with enterprise clients on AI and Data Engineering projects. Communication: Exceptional verbal and written communication skills to convey technical concepts to diverse audiences. Project Management: Strong organizational skills to manage multiple bids and presales activities simultaneously. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. MBA is a plus. Why Join Us? Be part of a well-funded startup with a world-class leadership team. Work on transformative AI and Data Engineering projects with global enterprises. Thrive in a collaborative and fast-paced environment that values innovation. Competitive compensation and benefits package. Based in Hyderabad, a hub for technology and innovation.
About Us: Join our stealth-mode AI startup on a mission to revolutionize AI and data solutions. Headquartered in Hyderabad, we are a well-funded startup with a world-class team and a passion for innovation in AI, NLP, Computer Vision, and Speech Recognition. We are looking for a highly motivated Data Engineer with 2 to 4 years of experience to join our team and work on cutting-edge projects in AI and big data technologies. Role Overview: As a Data Engineer , you will design, build, and optimize scalable data pipelines and platforms to support our AI-driven solutions. You’ll collaborate with cross-functional teams to enable real-time data processing and insights for enterprise-level applications. Key Responsibilities: Develop and maintain robust data pipelines using tools like PySpark , Kafka , and Airflow . Design and optimize data workflows for high scalability and performance using Hadoop , HDFS , and Hive . Integrate structured and unstructured data from diverse sources into a centralized platform. Leverage big data technologies for real-time processing and streaming using Spark Streaming and Nifi . Work on cloud-based platforms such as AWS , Azure , and GCP to deploy and monitor scalable data solutions. Collaborate with AI/ML teams to deploy machine learning models using MLflow and integrate AI capabilities into data pipelines. Automate and monitor workflows to ensure seamless operations using CI/CD pipelines , Kubernetes , and Docker . Implement data validation, performance testing, and troubleshooting of large-scale datasets. Prepare and share actionable insights through BI tools like Tableau and Grafana . Required Skills and Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related fields. Experience: 2 to 4 years in data engineering roles, working with big data ecosystems. Technical Proficiency: Big Data Tools: Hadoop, HDFS, PySpark, Hive, Sqoop, Kafka, Spark Streaming, Airflow, Presto, Nifi. Cloud Platforms: AWS (Glue, S3, EMR), Azure (ADF, HDInsight), GCP (BigQuery, Pub/Sub). Programming Languages: Python, SQL, Scala. DevOps & Automation: Jenkins, Ansible, Kubernetes, Docker. Databases: MySQL, Oracle, HBase, Redis. Visualization Tools: Tableau, Grafana, Zeppelin. Knowledge of machine learning models, AI tools (e.g., TensorFlow, H2O), and feature engineering is a plus. Strong problem-solving skills with attention to detail and ability to manage multiple projects. Excellent communication and collaboration skills in a fast-paced environment. What We Offer: Opportunity to work on innovative AI projects with a global impact. Collaborative work culture with access to cutting-edge technologies.
Job Description: AI Solution Architect Location: Hyderabad, India Experience: 5+ Years in AI Solution Architecture & Presales Type: Full-Time About Us: Join our fast-growing stealth-mode AI startup, where we are building cutting-edge AI solutions that transform businesses. We are looking for an experienced AI Solution Architect to lead presales, design technical solutions, and oversee successful delivery of AI-driven applications. This role is ideal for someone with expertise in Contact Center AI Automation, Conversational AI, and Support AI solutions who thrives in a fast-paced environment. Responsibilities: Lead AI solution architecture design and development for enterprise clients, ensuring alignment with business needs. Engage in presales activities , including client meetings, technical presentations, and proposal creation. Design and propose AI-based solutions for Conversational AI, Contact Center AI, and Support AI applications . Work closely with sales and business teams to translate customer requirements into scalable AI solutions. Oversee the implementation and delivery of AI solutions, ensuring best practices in MLOps, scalability, and performance optimization. Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to drive innovation. Conduct technical deep-dives, POCs, and architecture reviews with customers. Stay updated with the latest AI trends and technologies to provide state-of-the-art solutions. Qualifications: Educational Background: Bachelor's or Master’s in Computer Science, AI, or related field. Experience: 5+ years in AI solution architecture, presales, or technical consulting. Technical Expertise: Strong knowledge of AI/ML frameworks such as TensorFlow, PyTorch, OpenAI, and cloud-based AI platforms (AWS, Azure, GCP). Domain Knowledge: Prior experience in Contact Center AI, Conversational AI, or Support AI automation is highly preferred. Solutioning & Delivery: Proven ability to design scalable AI solutions and drive end-to-end implementation. Presales Exposure: Ability to engage with customers, present technical solutions, and create proposals/RFPs. MLOps & Deployment: Experience with AI/ML model deployment, APIs, and integration with enterprise systems. Communication Skills: Strong ability to communicate complex AI concepts to both technical and non-technical stakeholders. Preferred Skills: Exposure to AI-powered chatbots, voice assistants, and NLP-based automation. Experience working with enterprise clients in AI transformation initiatives. Hands-on expertise in integrating AI with CRM, IVR, and cloud-based contact center solutions. Familiarity with regulations and compliance in AI-driven customer support.
Job Title: Technical Program Manager (TPM) Location: Hyderabad ( Work from Office / 5 Days per Week ) Job Type: Full-time Experience: 6–12 years About Us We are a well-funded stealth AI startup based in Hyderabad. Our mission is to redefine how enterprises build and adopt AI, starting with scalable platforms and consulting services in NLP, Computer Vision, and Generative AI. Our team is building foundational AI products and services that empower global enterprises across sectors. We are looking for a Technical Program Manager (TPM) who thrives in ambiguity, scales engineering systems with clarity, and bridges business goals with technical execution. Key Responsibilities Program Management & Execution Own the end-to-end planning, tracking, and execution of complex technical programs from concept to launch across multiple AI product and infrastructure teams. Define and maintain program roadmaps, delivery schedules, success metrics, and risks. Drive execution cadence using Agile/Scrum or hybrid methodologies, leading sprint planning, reviews, retrospectives, and daily standups. Cross-Functional Leadership Act as the central coordination point between Engineering, Product, Data Science, Infra, and GTM teams to ensure alignment and smooth delivery. Facilitate clear communication across stakeholders (internal and external) and ensure shared understanding of technical milestones and business impact. Collaborate with Founders and senior leadership on strategic initiatives and OKRs. Technical Depth Partner with engineering leaders to define scalable architecture decisions, resource allocations, technical trade-offs, and development timelines. Understand AI/ML development life cycles, experimentation-to-deployment workflows, and MLOps best practices. Operational Excellence Build dashboards and reporting frameworks to provide real-time visibility into program health, risks, and delivery timelines. Improve internal systems, tools, and processes to streamline productivity for engineering and research teams. Risk Management Proactively identify bottlenecks, conflicts, and delivery risks and resolve them through escalation or by introducing process optimizations. Requirements Must-Haves 6+ years of experience in technical program management, engineering management, or similar roles in fast-growing startups or tech-first organizations. Proven track record of delivering complex, high-impact technical projects, especially in AI/ML, cloud computing, or SaaS domains. Strong understanding of software development lifecycle (SDLC), MLOps, and DevOps practices. Ability to write technical documentation, project plans, and communicate effectively with both technical and non-technical stakeholders. Experience working with tools like JIRA, Confluence, Asana, GitHub, Notion, and data visualization tools. Exceptional written and verbal communication skills. Preferred Background in Computer Science, Engineering, or related field. Hands-on experience in any of the following: NLP, LLMs, computer vision, deep learning, cloud-native platforms (AWS/GCP), or scalable backend systems. Familiarity with data pipelines, CI/CD, Kubernetes, or infrastructure-as-code. PMP, CSM, or other program management certifications.
🚀 Job Role : Marketing Intern 📍 Location: Hitec City, Hyderabad (Work from Office) 📅 Duration: 3 Months 💰 Stipend: ₹10,000/month 🕒 Start Date: Immediate Joiners Preferred About Us We are a well-funded stealth-mode AI startup with a mission to build world-class AI infrastructure and solutions. Our team comprises seasoned entrepreneurs, top-tier engineers, and product leaders solving real-world AI problems at scale. What You’ll Work On As a Marketing Intern , you’ll directly support our core marketing efforts, working closely with the leadership team. You’ll get hands-on experience across multiple functions: 🔹 Content & Communication Assist in building content for our website, blogs, and product pages Support SEO initiatives (keyword research, metadata optimization, backlink outreach) Coordinate with content/SEO agencies and freelancers 🔹 Sales Enablement Create engaging sales collateral – pitch decks, brochures, one-pagers Support the sales team with personalized assets and market research Help streamline and manage content assets for different use cases 🔹 Branding & Coordination Ensure brand consistency across channels Manage creative assets and coordinate with design partners Support internal projects related to product marketing and GTM What We’re Looking For Strong interest in tech and AI/ML space Excellent written and verbal communication skills Understanding of basic SEO and content marketing concepts Prior experience (internship/projects) in marketing/content roles is a plus Highly organized, proactive, and eager to learn Must be available to work from office (Hitec City, Hyderabad) What You’ll Get Mentorship from experienced marketing leaders Exposure to real-world marketing at a fast-scaling startup Opportunity to convert to a full-time role based on performance A chance to be part of something big and impactful from the ground up
Compensation: Up to $300,000 USD annually + Equity Type: Full-time | Remote We're looking for a Senior Python Backend Engineer to help build infrastructure powering real-time AI workflows and ML pipelines. You’ll work on high-availability systems and collaborate with a global team of engineers and researchers. Responsibilities: Build and optimize backend APIs and services for AI products Integrate with task queues, model inference APIs, and vector search systems Ensure system reliability and scalability across deployments Requirements: 5+ years of Python backend development Experience with FastAPI or Django, PostgreSQL, Celery, Redis Familiarity with LLM infrastructure, data orchestration, or AI tools is a big plus Strong problem-solving, documentation, and testing practices
Tech Stack ● AWS, Golang, Python, Docker, Jenkins, PostgreSQL, WebRTC/SIP, Prometheus, Grafana, LLMs (RAG pipelines, Langchain/LlamaIndex preferred) Key Responsibilities ● Lead end-to-end client delivery from scoping to deployment ● Scale, mentor, and manage a high-performing engineering team ● Drive a strong, ownership-oriented team culture ● Own all key technical decisions, architecture, and roadmap ● Collaborate cross-functionally with product, design, and leadership teams Requirements ● Strong hands-on development background (this is not purely a managerial role) ● Proven experience in scaling engineering systems from 0 to 100 ● Solid understanding of cloud infrastructure, backend systems, and DevOps best practices ● Experience working in high-growth startups or fast-paced product environments ● Excellent communication and decision-making skills Bonus Points If You Have: ● Direct experience scaling systems and teams in early-stage startups ● Exposure to LLM applications in production Previous experience in fintech, banking, or regulated environments
Job Title: Associate Vice President – Presales (AI Consulting & Infrastructure) 📍 Location: Hyderabad (Work from Office) About Us We are a well-funded stealth-mode AI startup building the future of AI Infrastructure and delivering high-impact AI Consulting projects to global enterprises. Our core offerings include: Cloud GPU Infrastructure (leveraging NVIDIA GPUs, custom orchestration, HPC) AI Consulting Services (GenAI, LLMs, NLP, Computer Vision, MLOps) Enterprise AI Solutions (customizable, scalable, and industry-specific) Our mission is to accelerate enterprise AI adoption through powerful infrastructure and expert-led consulting that drives tangible business outcomes. Role Summary We are looking for an experienced and ambitious Associate Vice President – Presales to lead global client engagements and shape the go-to-market solutioning efforts across AI Consulting and AI Infrastructure . This is a strategic leadership role responsible for interfacing with CXO-level stakeholders , translating business needs into AI opportunities, and leading the creation of compelling proposals, pitches, and PoCs. You will serve as the bridge between clients, consulting teams, and product/infrastructure leaders , owning the full presales lifecycle and playing a critical role in revenue growth and solution differentiation. Key Responsibilities Act as the primary presales leader for global client engagements across US, EU, Middle East, and APAC regions. Drive executive-level conversations with CIOs, CTOs, CDOs, Heads of AI/Data, and Innovation leaders. Lead requirement discovery sessions and shape AI transformation roadmaps with strong industry alignment. Build and present tailored proposals that combine AI solutions (GenAI, LLMs, NLP, Vision, MLOps) with GPU Infrastructure where required. Design and lead proof-of-concept (PoC) and pilot engagements , ensuring clarity on scope, value, and outcomes. Respond to RFPs/RFIs, craft SoWs, pitch decks, and commercial proposals with support from consulting and infra teams. Work closely with cross-functional teams (Delivery, Engineering, Product) to ensure feasibility and alignment of proposed solutions. Track and influence key deal metrics – proposal success rate, conversion time, and win/loss ratio. Mentor junior solution consultants and help institutionalize scalable presales processes. What We’re Looking For 10–15 years of experience in Presales / Solution Consulting / Business Development , ideally in AI, Cloud, or Enterprise Tech Services. Demonstrated success engaging global enterprise clients and CXO-level stakeholders . Proven understanding of AI/ML consulting frameworks — including Generative AI, LLMs, NLP, Computer Vision, MLOps, and Data Platforms. Familiarity with AI Infrastructure concepts such as GPU cloud (NVIDIA), model training environments, orchestration layers, and data pipelines. Exceptional communication, proposal writing, and storytelling capabilities. Ability to handle ambiguity, work cross-functionally, and close high-value strategic deals. Preferred Qualifications Experience working in or with AI Startups, Tech Consulting firms, or Cloud-native service providers . Understanding of vertical-specific AI use cases (BFSI, Retail, Healthcare, Manufacturing, etc.). Background in Engineering or Computer Science; MBA or Master’s in relevant field is a plus. Exposure to LLM fine-tuning, AI CoPilots, Prompt Engineering, MLOps, or Vector DB solutions is a strong plus .
Entrepreneur in Residence (EIR) – Presales, GTM & Strategic Alliances (APAC & Middle East) 📍 Location: Hyderabad (Work from Office) | With Regional Travel as Needed 🏢 Company: Stealth-Mode AI Consulting Startup | Global Enterprise Focus About Us We are a stealth-mode, venture-backed AI startup delivering high-impact AI consulting services to enterprise clients across APAC, the Middle East, and North America. Our services span: Generative AI & LLM Solutions NLP, Vision AI & Custom AI Development Enterprise AI Roadmapping & Advisory We work with CXOs and digital leaders to turn business pain points into scalable AI solutions. Now, we're expanding aggressively in APAC and the Middle East with support from top-tier partners and hyperscalers. Role Overview – EIR: Presales, GTM & Strategic Alliances (APAC + ME) We’re hiring a high-agency Entrepreneur in Residence (EIR) who will drive our AI consulting growth strategy across APAC and the Middle East , focusing on: Leading presales engagements with CXOs Building and managing regional GTM strategies Developing strategic partnerships and alliances , especially with hyperscalers (AWS, Azure, GCP) Creating the playbooks and systems for scale This is a business-building role with both strategic leadership and tactical execution scope. You will work directly with the founders and global delivery teams. Key Responsibilities 💼 Presales & Enterprise Engagement Lead CXO-level conversations in enterprise and government accounts across UAE, KSA, Singapore, India, and Southeast Asia . Conduct discovery workshops, develop tailored AI consulting proposals , and own end-to-end deal orchestration. Build strong narratives around GenAI, NLP, Vision AI, MLOps , and AI transformation journeys. Create high-quality SoWs, pricing models, pitch decks, and PoC frameworks. 🌐 Partnerships & Alliances Forge and manage alliances with hyperscalers (AWS, GCP, Azure) for regional co-sell and GTM programs. Collaborate with ISVs, consulting firms, and ecosystem partners to build joint value propositions. Drive onboarding to hyperscaler marketplaces and co-marketing efforts. 🚀 Go-to-Market Strategy Define and execute regional GTM plans for APAC & Middle East enterprise segments. Co-create sales plays and outbound programs tailored to verticals like BFSI, Retail, Healthcare, and Public Sector. Track and report on funnel, conversion, and partner-influenced pipeline growth. Who You Are 7–12 years of experience in Presales, GTM, Strategic Partnerships, or Solutioning , with proven regional experience in APAC and/or the Middle East . Strong understanding of enterprise AI services — especially GenAI, NLP, and consulting-led delivery models. Experience working with or managing hyperscaler relationships (AWS, Azure, GCP) in a consulting or ISV context. Ability to craft compelling business cases, pitch decks, and proposals from scratch. Excellent cross-cultural communication and stakeholder management. Strong preference for candidates with experience in AI/Cloud consulting , early-stage ventures, or enterprise tech GTM roles. Bonus Points Experience working with Digital Dubai, Smart Nation (Singapore), Vision 2030 (KSA) , or large transformation programs in the region. Exposure to prompt engineering , LLM productization , or AI delivery frameworks . Arabic language skills or regional domain fluency (not mandatory but valued). Why Join Us? Take ownership of multi-region AI consulting expansion from the ground up. Work alongside global founders on a fast-moving, CXO-track business-building journey. Be part of one of the most ambitious and agile AI consulting startups in the market.