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

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

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

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