STAND 8 is a global IT professional services company headquartered in Los Angeles, with growing teams across the world. We specialize in cutting-edge technology, automation, and cloud solutions to deliver exceptional results to our clients and partners. Our culture emphasizes collaboration, innovation, and continuous learning. Are you passionate about building innovative software solutions? Do you thrive in fast-paced environments and enjoy collaborating with skilled professionals? STAND 8 is expanding, and we're building a new software development team onsite in Hyderabad, India . If you're a hands-on engineer ready to make an impact, we'd love to connect. What We're Looking For: Strong hands-on software engineering experience utilizing Node.js for backend development with scalable server-side applications Experience building responsive and interactive front-end interface with React.js Background or familiarity with mobile app development in the android ecosystem with Kotlin Professional experience deploying or building applications in the cloud Ability to work collaboratively in a fast-moving team environment Solid understanding of full-stack development and cloud-native technologies Experience working with Agile methodologies and modern development practices Strong communication skills and a proactive, problem-solving mindset This is an exciting opportunity to be part of a brand-new team, shaping the future of software solutions at STAND 8. About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at www.stand8.io; and reach out today to explore opportunities to grow together! By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy. Show more Show less
STAND 8 is a global IT professional services company headquartered in Los Angeles, with growing teams across the world. We specialize in cutting-edge technology, automation, and cloud solutions to deliver exceptional results to our clients and partners. Our culture emphasizes collaboration, innovation, and continuous learning. Are you passionate about building innovative software solutions? Do you thrive in fast-paced environments and enjoy collaborating with skilled professionals? STAND 8 is expanding, and we're building a new software development team onsite in Hyderabad, India . If you're a hands-on engineer ready to make an impact, we'd love to connect. What We're Looking For: Strong hands-on software engineering experience utilizing Node.js for backend development with scalable server-side applications Experience building responsive and interactive front-end interface with React.js Background or familiarity with mobile app development in the android ecosystem with Kotlin Professional experience deploying or building applications in the cloud Ability to work collaboratively in a fast-moving team environment Solid understanding of full-stack development and cloud-native technologies Experience working with Agile methodologies and modern development practices Strong communication skills and a proactive, problem-solving mindset This is an exciting opportunity to be part of a brand-new team, shaping the future of software solutions at STAND 8. About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at www.stand8.io; and reach out today to explore opportunities to grow together! By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.
STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. We are seeking a Senior AI Engineer / Data Engineer to join our engineering team and help build the future of AI-powered business solutions. In this role, you'll be developing intelligent systems that leverage advanced large language models (LLMs), real-time AI interactions, and cutting-edge retrieval architectures. Your work will directly contribute to products that are reshaping how businesses operate-particularly in recruitment, data extraction, and intelligent decision-making. This is an exciting opportunity for someone who thrives in building production-grade AI systems and working across the full stack of modern AI technologies. Responsibilities Design, build, and optimize AI-powered systems using multi-modal architectures (text, voice, visual). Integrate and deploy LLM APIs from providers such as OpenAI, Anthropic, and AWS Bedrock. Build and maintain RAG (Retrieval-Augmented Generation) systems with hybrid search, re-ranking, and knowledge graphs. Develop real-time AI features using streaming analytics and voice interaction tools (e.g., ElevenLabs). Build APIs and pipelines using FastAPI or similar frameworks to support AI workflows. Process and analyze unstructured documents with layout and semantic understanding. Implement predictive models that power intelligent business recommendations. Deploy and maintain scalable solutions using AWS services (EC2, S3, RDS, Lambda, Bedrock, etc.). Use Docker for containerization and manage CI/CD workflows and version control via Git. Debug, monitor, and optimize performance for large-scale data pipelines. Collaborate cross-functionally with product, data, and engineering teams. Qualifications 5+ years of experience in AI/ML or data engineering with Python in production environments. Hands-on experience with LLM APIs and frameworks such as OpenAI, Anthropic, Bedrock, or LangChain. Production experience using vector databases like PGVector, Weaviate, FAISS, or Pinecone. Strong understanding of NLP, document extraction, and text processing. Proficiency in AWS cloud services including Bedrock, EC2, S3, Lambda, and monitoring tools. Experience with FastAPI or similar frameworks for building AI/ML APIs. Familiarity with embedding models, prompt engineering, and RAG systems. Asynchronous programming knowledge for high-throughput pipelines. Experience with Docker, Git workflows, CI/CD pipelines, and testing best practices. Preferred Background in HRTech or ATS integrations (e.g., Greenhouse, Workday, Bullhorn). Experience working with knowledge graphs (e.g., Neo4j) for semantic relationships. Real-time AI systems (e.g., WebRTC, OpenAI Realtime API) and voice AI tools (e.g., ElevenLabs). Advanced Python development skills using design patterns and clean architecture. Large-scale data processing experience (1-2M+ records) with cost optimization techniques for LLMs. Event-driven architecture experience using AWS SQS, SNS, or EventBridge. Hands-on experience with fine-tuning, evaluating, and deploying foundation models.
STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. We are looking for a Senior AI Engineer / Data Engineer to be a part of our engineering team and contribute to building the future of AI-powered business solutions. In this role, you will be involved in developing intelligent systems that make use of advanced large language models (LLMs), real-time AI interactions, and cutting-edge retrieval architectures. Your efforts will have a direct impact on products that are revolutionizing business operations, particularly in the areas of recruitment, data extraction, and intelligent decision-making. This position offers an exciting opportunity for individuals who excel in constructing production-grade AI systems and are adept at working across the full spectrum of modern AI technologies. Responsibilities - Design, construct, and enhance AI-powered systems utilizing multi-modal architectures encompassing text, voice, and visual elements. - Incorporate and deploy LLM APIs sourced from providers like OpenAI, Anthropic, and AWS Bedrock. - Develop and manage RAG (Retrieval-Augmented Generation) systems featuring hybrid search, re-ranking, and knowledge graphs. - Create real-time AI functionalities through the utilization of streaming analytics and voice interaction tools such as ElevenLabs. - Establish APIs and pipelines using FastAPI or similar frameworks to facilitate AI workflows. - Process and evaluate unstructured documents with an understanding of layout and semantics. - Implement predictive models that drive intelligent business recommendations. - Deploy and sustain scalable solutions leveraging AWS services like EC2, S3, RDS, Lambda, Bedrock, among others. - Utilize Docker for containerization and oversee CI/CD workflows and version control via Git. - Debug, monitor, and optimize performance for large-scale data pipelines. - Collaborate seamlessly with product, data, and engineering teams across different functions. Qualifications - Possess 5+ years of experience in AI/ML or data engineering utilizing Python in production environments. - Hands-on familiarity with LLM APIs and frameworks such as OpenAI, Anthropic, Bedrock, or LangChain. - Previous experience in deploying vector databases like PGVector, Weaviate, FAISS, or Pinecone in production settings. - Solid grasp of NLP, document extraction, and text processing. - Proficiency in AWS cloud services including Bedrock, EC2, S3, Lambda, and monitoring tools. - Experience with FastAPI or similar frameworks for constructing AI/ML APIs. - Knowledge of embedding models, prompt engineering, and RAG systems. - Proficiency in asynchronous programming for high-throughput pipelines. - Proficiency in Docker, Git workflows, CI/CD pipelines, and adherence to testing best practices. Preferred - Background in HRTech or ATS integrations (e.g., Greenhouse, Workday, Bullhorn). - Experience working with knowledge graphs (e.g., Neo4j) for semantic relationships. - Exposure to real-time AI systems (e.g., WebRTC, OpenAI Realtime API) and voice AI tools (e.g., ElevenLabs). - Advanced Python development skills employing design patterns and clean architecture. - Experience in large-scale data processing (1-2M+ records) with cost optimization techniques for LLMs. - Proficiency in event-driven architecture utilizing AWS SQS, SNS, or EventBridge. - Hands-on experience with fine-tuning, evaluating, and deploying foundation models.,
You will be joining the engineering team at STAND 8 as a Senior AI Engineer / Data Engineer where you will play a key role in developing cutting-edge AI-powered business solutions. Your primary focus will be designing and optimizing AI systems that utilize advanced large language models, real-time AI interactions, and state-of-the-art retrieval architectures. Your contributions will directly impact products that are revolutionizing various business operations, especially in areas such as recruitment, data extraction, and decision-making processes. As a Senior AI Engineer / Data Engineer at STAND 8, your responsibilities will include designing, building, and enhancing AI-powered systems that incorporate multi-modal architectures encompassing text, voice, and visual elements. You will also be tasked with integrating and deploying large language model (LLM) APIs from providers like OpenAI, Anthropic, and AWS Bedrock, as well as constructing and managing Retrieval-Augmented Generation (RAG) systems with hybrid search capabilities, re-ranking functionalities, and knowledge graphs. Additionally, you will develop real-time AI features using streaming analytics and voice interaction tools, build APIs and pipelines to support AI workflows, process unstructured documents with layout and semantic understanding, implement predictive models, and deploy scalable solutions using various AWS services. Your role will also involve utilizing Docker for containerization, managing CI/CD workflows, version control through Git, debugging, monitoring, and optimizing performance for large-scale data pipelines, and collaborating with cross-functional teams consisting of product, data, and engineering professionals. To qualify for this role, you should possess at least 5 years of experience in AI/ML or data engineering with Python in production environments. Hands-on experience with LLM APIs and frameworks such as OpenAI, Anthropic, Bedrock, or LangChain is essential, along with expertise in vector databases like PGVector, Weaviate, FAISS, or Pinecone, a strong grasp of NLP, document extraction, and text processing, proficiency in AWS cloud services, experience with FastAPI or similar frameworks, familiarity with embedding models, prompt engineering, and RAG systems, knowledge of asynchronous programming, Docker, Git workflows, CI/CD pipelines, and testing best practices. Preferred qualifications include a background in HRTech or ATS integrations, knowledge of knowledge graphs for semantic relationships, experience with real-time AI systems and voice AI tools, advanced Python development skills, large-scale data processing experience, event-driven architecture knowledge using AWS services, and hands-on experience with fine-tuning, evaluating, and deploying foundation models.,
STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. We're looking for a Front-End Web Developer with strong Webflow expertise to join our team and help bring our digital vision to life. In this role, you'll combine creativity and technical know-how to design and maintain high-performing, responsive websites that elevate our brand and enhance user experience. You'll work closely with marketing, design, and product teams to ensure every touchpoint reflects our quality, consistency, and innovation. If you're a detail-oriented, data-informed developer who's passionate about clean design, seamless functionality, and staying ahead of digital trends, we'd love to hear from you. Responsibilities: Design, develop, and maintain responsive and visually engaging websites using Webflow. Optimize website performance, SEO, and user experience to drive traffic and conversions. Experience integrating third-party tools such as CRM systems, email marketing platforms, analytics tools, and automation workflows, with strong proficiency in Google Tag Manager and Google Analytics (GA4). Troubleshoot website issues, implement A/B testing, and refine designs based on data-driven insights. Maintain consistency in branding, style guides, and design aesthetics across digital platforms. What Makes You Successful in This Role Proactive: Takes initiative and looks for ways to add value without being asked. Detail-Oriented: Pays close attention to design, code quality, and user experience. Data-Informed: Uses analytics and testing to guide continuous improvements. Collaborative: Communicates well and thrives in a team-oriented environment. Adaptable & Curious: Embraces change, learns quickly, and stays ahead of digital trends. Reliable: Follows through, meets deadlines, and owns results. Requirements: 4-6 years of experience in front-end development with a strong focus on Webflow. Proven ability to design, build, and maintain responsive websites using Webflow, including CMS and animations/interactions. Solid understanding of HTML, CSS, and JavaScript, particularly as used within Webflow. Hands-on experience with Google Tag Manager and Google Analytics (GA4) for event tracking and performance insights. Experience integrating third-party tools such as CRM systems, email platforms, analytics tools, or marketing automation workflows. Understanding of SEO principles, performance optimization, and cross-browser compatibility. Familiarity with A/B testing tools and the ability to implement data-informed design refinements. Ability to collaborate with cross-functional teams, including design, marketing, and product. Strong attention to detail, with a focus on maintaining brand consistency and design standards. Comfortable working in a fast-paced, remote, or hybrid environment. Nice to have: Ability to create wireframes or low-fidelity prototypes to support early-stage design thinking. Strong understanding of UX and UI principles, with an eye for clean, user-friendly design. Familiarity with tools like Figma, Sketch, or Adobe XD. About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at www.stand8.io; and reach out today to explore opportunities to grow together!
STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. We are seeking a Senior AI Engineer / Data Engineer to join our engineering team and help build the future of AI-powered business solutions. In this role, you&aposll be developing intelligent systems that leverage advanced large language models (LLMs), real-time AI interactions, and cutting-edge retrieval architectures. Your work will directly contribute to products that are reshaping how businesses operate-particularly in recruitment, data extraction, and intelligent decision-making. This is an exciting opportunity for someone who thrives in building production-grade AI systems and working across the full stack of modern AI technologies. Responsibilities Design, build, and optimize AI-powered systems using multi-modal architectures (text, voice, visual). Integrate and deploy LLM APIs from providers such as OpenAI, Anthropic, and AWS Bedrock. Build and maintain RAG (Retrieval-Augmented Generation) systems with hybrid search, re-ranking, and knowledge graphs. Develop real-time AI features using streaming analytics and voice interaction tools (e.g., ElevenLabs). Build APIs and pipelines using FastAPI or similar frameworks to support AI workflows. Process and analyze unstructured documents with layout and semantic understanding. Implement predictive models that power intelligent business recommendations. Deploy and maintain scalable solutions using AWS services (EC2, S3, RDS, Lambda, Bedrock, etc.). Use Docker for containerization and manage CI/CD workflows and version control via Git. Debug, monitor, and optimize performance for large-scale data pipelines. Collaborate cross-functionally with product, data, and engineering teams. Qualifications 5+ years of experience in AI/ML or data engineering with Python in production environments. Hands-on experience with LLM APIs and frameworks such as OpenAI, Anthropic, Bedrock, or LangChain. Production experience using vector databases like PGVector, Weaviate, FAISS, or Pinecone. Strong understanding of NLP, document extraction, and text processing. Proficiency in AWS cloud services including Bedrock, EC2, S3, Lambda, and monitoring tools. Experience with FastAPI or similar frameworks for building AI/ML APIs. Familiarity with embedding models, prompt engineering, and RAG systems. Asynchronous programming knowledge for high-throughput pipelines. Experience with Docker, Git workflows, CI/CD pipelines, and testing best practices. Preferred Background in HRTech or ATS integrations (e.g., Greenhouse, Workday, Bullhorn). Experience working with knowledge graphs (e.g., Neo4j) for semantic relationships. Real-time AI systems (e.g., WebRTC, OpenAI Realtime API) and voice AI tools (e.g., ElevenLabs). Advanced Python development skills using design patterns and clean architecture. Large-scale data processing experience (1-2M+ records) with cost optimization techniques for LLMs. Event-driven architecture experience using AWS SQS, SNS, or EventBridge. Hands-on experience with fine-tuning, evaluating, and deploying foundation models. Show more Show less
STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. We are seeking a Senior AI Engineer / Data Engineer to join our engineering team and help build the future of AI-powered business solutions. In this role, you'll be developing intelligent systems that leverage advanced large language models (LLMs), real-time AI interactions, and cutting-edge retrieval architectures. Your work will directly contribute to products that are reshaping how businesses operate-particularly in recruitment, data extraction, and intelligent decision-making. This is an exciting opportunity for someone who thrives in building production-grade AI systems and working across the full stack of modern AI technologies. Responsibilities Design, build, and optimize AI-powered systems using multi-modal architectures (text, voice, visual). Integrate and deploy LLM APIs from providers such as OpenAI, Anthropic, and AWS Bedrock. Build and maintain RAG (Retrieval-Augmented Generation) systems with hybrid search, re-ranking, and knowledge graphs. Develop real-time AI features using streaming analytics and voice interaction tools (e.g., ElevenLabs). Build APIs and pipelines using FastAPI or similar frameworks to support AI workflows. Process and analyze unstructured documents with layout and semantic understanding. Implement predictive models that power intelligent business recommendations. Deploy and maintain scalable solutions using AWS services (EC2, S3, RDS, Lambda, Bedrock, etc.). Use Docker for containerization and manage CI/CD workflows and version control via Git. Debug, monitor, and optimize performance for large-scale data pipelines. Collaborate cross-functionally with product, data, and engineering teams. Qualifications 5+ years of experience in AI/ML or data engineering with Python in production environments. Hands-on experience with LLM APIs and frameworks such as OpenAI, Anthropic, Bedrock, or LangChain. Production experience using vector databases like PGVector, Weaviate, FAISS, or Pinecone. Strong understanding of NLP, document extraction, and text processing. Proficiency in AWS cloud services including Bedrock, EC2, S3, Lambda, and monitoring tools. Experience with FastAPI or similar frameworks for building AI/ML APIs. Familiarity with embedding models, prompt engineering, and RAG systems. Asynchronous programming knowledge for high-throughput pipelines. Experience with Docker, Git workflows, CI/CD pipelines, and testing best practices. Preferred Background in HRTech or ATS integrations (e.g., Greenhouse, Workday, Bullhorn). Experience working with knowledge graphs (e.g., Neo4j) for semantic relationships. Real-time AI systems (e.g., WebRTC, OpenAI Realtime API) and voice AI tools (e.g., ElevenLabs). Advanced Python development skills using design patterns and clean architecture. Large-scale data processing experience (1-2M+ records) with cost optimization techniques for LLMs. Event-driven architecture experience using AWS SQS, SNS, or EventBridge. Hands-on experience with fine-tuning, evaluating, and deploying foundation models.
As a Senior AI Engineer / Data Engineer at STAND 8, you will play a crucial role in contributing to the development of AI-powered business solutions. Your work will involve leveraging advanced large language models, real-time AI interactions, and cutting-edge retrieval architectures to revolutionize business operations in recruitment, data extraction, and intelligent decision-making. **Responsibilities:** - Design, construct, and enhance AI-powered systems incorporating text, voice, and visual elements. - Integrate and deploy LLM APIs from providers like OpenAI, Anthropic, and AWS Bedrock. - Develop and manage RAG systems with hybrid search, re-ranking, and knowledge graphs. - Implement real-time AI functionalities using streaming analytics and voice interaction tools such as ElevenLabs. - Create APIs and pipelines with frameworks like FastAPI to streamline AI workflows. - Process and evaluate unstructured documents considering layout and semantics. - Build predictive models to drive intelligent business recommendations. - Deploy scalable solutions utilizing AWS services such as EC2, S3, RDS, Lambda, and Bedrock. - Utilize Docker for containerization and oversee CI/CD workflows and version control through Git. - Debug, monitor, and optimize performance for large-scale data pipelines. - Collaborate effectively with product, data, and engineering teams across various functions. **Qualifications:** - 5+ years of experience in AI/ML or data engineering with Python in production environments. - Hands-on familiarity with LLM APIs and frameworks like OpenAI, Anthropic, Bedrock, or LangChain. - Previous experience deploying vector databases such as PGVector, Weaviate, FAISS, or Pinecone in production. - Strong understanding of NLP, document extraction, and text processing. - Proficiency in AWS cloud services including Bedrock, EC2, S3, Lambda, and monitoring tools. - Experience with FastAPI or similar frameworks for building AI/ML APIs. - Knowledge of embedding models, prompt engineering, and RAG systems. - Proficiency in asynchronous programming for high-throughput pipelines. - Strong skills in Docker, Git workflows, CI/CD pipelines, and adherence to testing best practices. **Preferred:** - Background in HRTech or ATS integrations like Greenhouse, Workday, Bullhorn. - Experience with knowledge graphs such as Neo4j for semantic relationships. - Exposure to real-time AI systems like WebRTC, OpenAI Realtime API, and voice AI tools such as ElevenLabs. - Advanced Python development skills with clean architecture and design patterns. - Experience in large-scale data processing with cost optimization techniques for LLMs. - Proficiency in event-driven architecture using AWS SQS, SNS, or EventBridge. - Hands-on experience in fine-tuning, evaluating, and deploying foundation models.,