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2.0 - 4.0 years
0 Lacs
hyderabad, telangana, india
Remote
We&aposre looking for a minimum of 2+ years experience and currently accepting only India based applicants . About Us We are a Stealth GenAI B2B Startup focused on revolutionizing the construction industry using Artificial Intelligence. Our team is composed of visionaries, researchers, and engineers dedicated to pushing the boundaries of AI to develop transformative solutions. Founded by a repeat founder who is an alumnus of IIT Madras who had previously built and exited successfully to a Fortune 1000 company. We are committed to using technology and innovation to disrupt the status quo and create the future. About the Role Were hiring a Founding AI Engineer to lead the design and implementation of our document intelligence systems. Youll be responsible for building scalable AI pipelines that extract structure, meaning, and insights from unstructured engineering design documents. This is a hands-on, high-impact role where youll help execute the document intelligence roadmap and product direction from the ground up. Key Responsibilities Build and optimize document processing pipelines for unstructured and semi-structured data Design and implement intelligent extraction systems using LLMs, OCR, and NLP techniques Design and refine pipelines that apply large language models (LLMs) to extract, structure, and validate information from construction documents, and free-text project documents Prototype, evaluate, and optimize techniques for information extraction, entity linking, data normalization, and confidence scoring Apply RAG (retrieval-augmented generation) and embedding-based search across large document sets Work with tools such as LangChain, CrewAI, Hugging Face, PyMuPDF, Tesseract, or Amazon Textract Integrate and fine-tune LLMs (e.g., OpenAI GPT-4, Claude, Mistral ) for domain-specific understanding Set up vector search and memory frameworks (e.g., FAISS, Pinecone) for contextual recall Deploy and iterate on systems for prompt tuning, relevance evaluation, and performance tracking across varied document types and project datasets Collaborate with product and engineering teams to embed document intelligence into core workflows Ensure accuracy, scalability, and observability of models in production Bridge the gap between research and production , transforming prototypes into scalable, production-ready AI components Required Skills & Qualifications 2+ years of experience in AI/ML with a strong focus on Information extraction from pdf documents Proven experience working with PDFs, scanned documents, structured and unstructured formats Hands-on with LLMs, embeddings, prompt engineering, OCR, and NLP libraries Proficient in Python and frameworks such as PyTorch, Hugging Face Transformers, or LangChain Experience building scalable inference pipelines and optimizing LLM performance Excellent problem-solving skills and ability to thrive in fast-paced, high-ownership environments Ability to work independently with attention to detail and take full ownership Strong communication and collaboration in agile cross-functional teams Passion for delivering high-quality, reliable, and scalable solutions Beyond Technical Skills What Were Looking For We&aposre building more than just software. Were building a team that thrives in a fast-paced, high-ownership environment. Heres what we value deeply beyond strong technical capabilities Startup Readiness & Ownership Bias for action: Youre someone who ships fast, tests quickly, and iterates with purpose. Comfort with ambiguity: Ability to make decisions with limited information and adapt as things evolve. Ownership mindset: You treat the product as your own - not just a list of tickets to complete. Resourcefulness: You know when to hack something together to keep moving, and when its time to build it right. Product Thinking User-Centric Approach: You care about the why behind what you&aposre building and understand the users perspective. Collaborative in Shaping Product: Youre comfortable challenging and refining product specs instead of just executing them. Strategic Trade-off Awareness: You can navigate choicesspeed vs scalability, UX vs tech debt, MVP vs V1with clarity. Collaboration & Communication Cross-Functional Comfort: You work well with product, design, and founders. Clear communicator: You can explain technical concepts in simple terms when needed. Feedback culture fit: You give and receive feedback without ego. Growth Potential Fast Learner: Startups change, and so do stacks. Willingness to learn is gold. Long-Term Mindset: Lot of opportunity to scale Mentorship Readiness: If you can bring others up as the team scales, thats a win. Startup Cultural Fit Mission-Driven: You care deeply about what youre building. Flexible Work Style: Especially if remote, please be flexible. No big-company baggage: No expectations of layered teams or polished specs. We move fast and build together. Why Join our Startup Shape the Future of construction technology through intelligent automation and smart workflows Ownership & Impact: See the results of your work in a fast-paced, high-impact startup environment Competitive Package: Market-aligned salary, and performance-based incentives Remote Flexibility: Hybrid/remote-friendly culture Work with Experts: Collaborate with leaders in AI, construction, and cloud-native development How to Apply Excited to drive innovation in one of the worlds largest industries Just fill out this quick form https://forms.gle/yCw6coGhjJzTJdZ69 to tell us about your experience and skills - it wont take long! Well review your info and get in touch if its a good match. Show more Show less
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