Position: AI Engineer (Python, LLMs, Vector Databases, OCR, Image Generation) Location: Remote (Delhi or Bengaluru) About our Company We are an advanced Learning Management System (LMS) and authoring tool provider, built to meet the diverse training and organizational needs of businesses across industries. Operating under LM Solutions India Pvt. Ltd. we are part of SVI, a leading learning solutions provider headquartered in Texas, USA . With over 20 years of experience, we have established strong partnerships with clients in consulting, healthcare, retail, banking, aviation, and more. Our small but growing team of skilled professionals works closely with global clients to create engaging learning experiences and implement effective talent development strategies that drive real business outcomes. We are also at the forefront of integrating AI into learning solutions. Our technology stack is built on Python, leveraging LlamaIndex to power our retrieval-augmented generation (RAG) pipelines with OpenAI and other large language models (LLMs). We work extensively with vector databases, optical character recognition (OCR) tools, and AI-driven image generation to transform document-based content into structured, interactive micro-learning experiences. While we don’t host or train our own AI models, we focus on seamlessly integrating best-in-class AI services into our workflows. As we continue to scale, we are seeking passionate individuals to help us enhance and expand our AI-powered capabilities. Role & Responsibilities · Enhance and optimize our RAG pipeline, integrating various LLMs via Open AI and other providers. · Work with vector databases (e.g., Pinecone, FAISS, We aviate, Milvus) to store and retrieve embeddings efficiently. · Implement OCR solutions to extract text from images (e.g., Tesseract, Azure/AWS OCR, Google Vision). · Integrate image generation models (e.g., Stable Diffusion, Open AI DALL·E) into our content pipeline. · Improve document parsing and content structuring using LlamaIndex. · Work within a cloud-based AI infrastructure (no on-prem hosting). · Collaborate with our product team to create AI-enhanced interactive learning experiences. · Ensure performance, scalability, and security of AI-driven workflows. Requirements · Proficiency in Python and experience with AI/ML libraries (e.g., llama-index, langchain, transformers). · Hands-on experience with vector databases for similarity search. · Strong background in OCR technologies (e.g., Tesseract, AWS Textract, Google Vision, OpenCV). · Familiarity with image generation models (e.g., OpenAI DALL·E, Stability AI). · Experience integrating LLMs via APIs (Open AI, Anthropic, etc.). · Comfortable working with cloud-based AI services (AWS, Azure, GCP). · Strong problem-solving skills and the ability to work independently. Nice-to-Have · Experience with document processing pipelines (e.g., PDFs, Word documents). · Background in AI-powered content recommendation or learning platforms. · Familiarity with serverless architectures (e.g., AWS Lambda, Azure Functions).
Position: AI Engineer (Python, LLMs, Vector Databases, OCR, Image Generation) Location: Remote (Delhi or Bengaluru) About our Company We are an advanced Learning Management System (LMS) and authoring tool provider, built to meet the diverse training and organizational needs of businesses across industries. Operating under LM Solutions India Pvt. Ltd. we are part of SVI, a leading learning solutions provider headquartered in Texas, USA. With over 20 years of experience, we have established strong partnerships with clients in consulting, healthcare, retail, banking, aviation, and more. Our small but growing team of skilled professionals works closely with global clients to create engaging learning experiences and implement effective talent development strategies that drive real business outcomes. We are also at the forefront of integrating AI into learning solutions. Our technology stack is built on Python, leveraging LlamaIndex to power our retrieval-augmented generation (RAG) pipelines with OpenAI and other large language models (LLMs). We work extensively with vector databases, optical character recognition (OCR) tools, and AI-driven image generation to transform document-based content into structured, interactive micro-learning experiences. While we don’t host or train our own AI models, we focus on seamlessly integrating best-in-class AI services into our workflows. As we continue to scale, we are seeking passionate individuals to help us enhance and expand our AI-powered capabilities. Role & Responsibilities · Enhance and optimize our RAG pipeline, integrating various LLMs via Open AI and other providers. · Work with vector databases (e.g., Pinecone, FAISS, We aviate, Milvus) to store and retrieve embeddings efficiently. · Implement OCR solutions to extract text from images (e.g., Tesseract, Azure/AWS OCR, Google Vision). · Integrate image generation models (e.g., Stable Diffusion, Open AI DALL·E) into our content pipeline. · Improve document parsing and content structuring using LlamaIndex. · Work within a cloud-based AI infrastructure (no on-prem hosting). · Collaborate with our product team to create AI-enhanced interactive learning experiences. · Ensure performance, scalability, and security of AI-driven workflows. Requirements · Proficiency in Python and experience with AI/ML libraries (e.g., llama-index, langchain, transformers). · Hands-on experience with vector databases for similarity search. · Strong background in OCR technologies (e.g., Tesseract, AWS Textract, Google Vision, OpenCV). · Familiarity with image generation models (e.g., OpenAI DALL·E, Stability AI). · Experience integrating LLMs via APIs (Open AI, Anthropic, etc.). · Comfortable working with cloud-based AI services (AWS, Azure, GCP). · Strong problem-solving skills and the ability to work independently. Nice-to-Have · Experience with document processing pipelines (e.g., PDFs, Word documents). · Background in AI-powered content recommendation or learning platforms. · Familiarity with serverless architectures (e.g., AWS Lambda, Azure Functions).
Position: Instructional Designer Location: Remote | Full-Time About Us We are a next-generation Learning Management System (LMS) and AI-powered authoring tool provider , built to meet the evolving training and organizational needs of businesses across industries. Operating under LM Solutions India Pvt. Ltd. , we are part of SVI , a leading learning solutions provider headquartered in Texas, USA. With over 20 years of experience, we’ve partnered with clients in consulting, healthcare, retail, banking, aviation, and more. Our growing team collaborates with global clients to design engaging learning experiences and implement impactful talent development strategies that drive measurable business results. About the Role We’re looking for Instructional Designers (IDs) who are excited about leveraging creativity, modern learning practices, and AI technology to create impactful training. If you love simplifying complex topics, designing engaging experiences, and working with cutting-edge tools, this is the role for you. As part of our dynamic team, you’ll play a key role in designing and delivering innovative e-learning and microlearning experiences for clients around the globe. While Learner Mobile (learnermobile.com) will serve as your primary authoring platform, leveraging its powerful AI-driven content creation tools- you’ll also have the opportunity to integrate and experiment with other cutting-edge AI technologies and authoring tools to enhance learning outcomes, personalize experiences, and push creative boundaries. . What You’ll Do Design and develop engaging online training using our AI authoring tool , as well as other eLearning platforms. Create microlearning, e-learning, graphics, and video scripts that drive learner engagement. Partner with clients to understand needs, collect requirements, and source content. Break down complex information into concise, learner-friendly modules. Publish and manage training content in the Learner Mobile app . Develop supplemental media, including visuals, animations, and videos. Collaborate with developers and designers to deliver polished content. Present content to clients, gather feedback, and refine as needed. Use AI-powered workflows to speed up content creation while maintaining creativity and instructional quality. Contribute ideas for new ways to integrate AI in instructional design and learner engagement. What We’re Looking For 2+ years experience in instructional design and e-learning development. Proficiency with Articulate Storyline 360 and Rise 360 . Experience with AI-based or digital authoring tools (preferred). At least 1 year of experience in graphic design (Adobe Creative Cloud, Canva, etc.). Ability to create videos/animations with tools like Canva, Vyond , or similar. Strong knowledge of instructional design principles and microlearning. Project management skills and ability to deliver on deadlines. Strong client-facing communication skills. Curiosity to experiment with new learning technologies and AI-driven design methods. This is a full-time, remote role where you’ll get to combine creativity, instructional expertise, and AI-powered tools to design learning experiences that make a real impact.
Position: AI Engineer (Python, LLMs, Vector Databases, OCR, Image Generation) Location: Remote (Delhi or Bengaluru) About our Company We are an advanced Learning Management System (LMS) and authoring tool provider, built to meet the diverse training and organizational needs of businesses across industries. Operating under LM Solutions India Pvt. Ltd. we are part of SVI, a leading learning solutions provider headquartered in Texas, USA. With over 20 years of experience, we have established strong partnerships with clients in consulting, healthcare, retail, banking, aviation, and more. Our small but growing team of skilled professionals works closely with global clients to create engaging learning experiences and implement effective talent development strategies that drive real business outcomes. We are also at the forefront of integrating AI into learning solutions. Our technology stack is built on Python, leveraging LlamaIndex to power our retrieval-augmented generation (RAG) pipelines with OpenAI and other large language models (LLMs). We work extensively with vector databases, optical character recognition (OCR) tools, and AI-driven image generation to transform document-based content into structured, interactive micro-learning experiences. While we don’t host or train our own AI models, we focus on seamlessly integrating best-in-class AI services into our workflows. As we continue to scale, we are seeking passionate individuals to help us enhance and expand our AI-powered capabilities. Role & Responsibilities · Enhance and optimize our RAG pipeline, integrating various LLMs via Open AI and other providers. · Work with vector databases (e.g., Pinecone, FAISS, We aviate, Milvus) to store and retrieve embeddings efficiently. · Implement OCR solutions to extract text from images (e.g., Tesseract, Azure/AWS OCR, Google Vision). · Integrate image generation models (e.g., Stable Diffusion, Open AI DALL·E) into our content pipeline. · Improve document parsing and content structuring using LlamaIndex. · Work within a cloud-based AI infrastructure (no on-prem hosting). · Collaborate with our product team to create AI-enhanced interactive learning experiences. · Ensure performance, scalability, and security of AI-driven workflows. Requirements · Proficiency in Python and experience with AI/ML libraries (e.g., llama-index, langchain, transformers). · Hands-on experience with vector databases for similarity search. · Strong background in OCR technologies (e.g., Tesseract, AWS Textract, Google Vision, OpenCV). · Familiarity with image generation models (e.g., OpenAI DALL·E, Stability AI). · Experience integrating LLMs via APIs (Open AI, Anthropic, etc.). · Comfortable working with cloud-based AI services (AWS, Azure, GCP). · Strong problem-solving skills and the ability to work independently. Nice-to-Have · Experience with document processing pipelines (e.g., PDFs, Word documents). · Background in AI-powered content recommendation or learning platforms. . Familiarity with serverless architectures (e.g., AWS Lambda, Azure Functions).