About Us Raven is a YC-backed startup (S22) building AI assistants for manufacturing plants. We’re taking decades of manufacturing expertise and combining it with AI to solve real operational problems. Backed by top VCs, we’re a small, focused team working to make industrial operations safer, smarter, and more efficient. We’re based in Bangalore, building for teams that work in some of the toughest environments. What You’ll Work On This is a core technical role focused on building AI-native applications and agents for manufacturing workflows. You’ll: Build Python/Go backend services that integrate tightly with AI systems. Help improve multi-modal pipeline infrastructure that handle P&IDs, SOPs, sensor data, and technical documents. Build agent memory systems using knowledge graphs and event timelines. Architect AI orchestration layers for decision making workflows from structured/unstructured plant data. Rapidly prototype new AI workflows and deploy in real-world plant environments. Who We’re Looking For 2–4+ years experience building production systems. Strong Python/Go skills, familiar with LLMs, embeddings, vector stores. Interest in owning problems and figuring out solutions Deep interest in owning problems end-to-end—from exploring the solution space to deploying working systems in production. Comfortable working in ambiguity, iterating fast, and shipping real-world value. Bonus: You’ve worked in a startup before and are comfortable wearing multiple hats. Why Join Us We’re not just building one-off tools—we’re building core systems that empower plant teams to make faster, safer decisions. This is about creating systems that process complex, scattered information and make it accessible in seconds. Here’s what we offer: Impact: Be one of the first hires and shape the product, culture, and direction of the company. Ownership: We’re offering 0.1-1% equity because this should feel like your company too. Focus: This is a chance to work on deep, meaningful problems that directly affect real-world outcomes in safety and efficiency. We believe in working together in person, especially at this stage of the company. Fast iteration and collaboration matter, and being in the room together makes a difference.
The company Raven, a YC-backed startup (S22), is dedicated to developing AI assistants for manufacturing plants by leveraging decades of manufacturing expertise combined with AI technology to address operational challenges. With strong support from top VCs, the team in Bangalore focuses on enhancing industrial operations to promote safety, intelligence, and efficiency within challenging work environments. As a part of the team, your key responsibilities will revolve around the core technical aspect of constructing AI-native applications and agents tailored for manufacturing workflows. Your tasks will include: - Building Python/Go backend services that seamlessly integrate with AI systems. - Enhancing multi-modal pipeline infrastructure to manage P&IDs, SOPs, sensor data, and technical documents effectively. - Developing agent memory systems utilizing knowledge graphs and event timelines. - Designing AI orchestration layers to facilitate decision-making workflows based on structured/unstructured plant data. - Rapid prototyping of new AI workflows and deploying them in real-world plant settings. The ideal candidate for this role should possess: - 2+ years of experience in constructing production systems. - Proficiency in Python/Go programming, with familiarity in LLMs, embeddings, and vector storage. - A keen interest in problem-solving and a proactive approach towards finding solutions. - A deep commitment to problem ownership throughout the entire process, from exploring potential solutions to implementing functional systems in production. - Comfort in handling ambiguity, adapting quickly, and delivering tangible value. A bonus would be past experience working in a startup environment and a willingness to take on various responsibilities. Joining Raven means being part of a team dedicated to developing fundamental systems that empower plant teams to make quicker and safer decisions. The role offers: - Impact: As one of the initial hires, you will play a pivotal role in shaping the product, culture, and trajectory of the company. - Ownership: You will be granted 0.1-1% equity, emphasizing the importance of feeling a sense of ownership in the company. - Focus: An opportunity to tackle significant, complex problems that directly influence real-world outcomes related to safety and efficiency. The company values the collaboration and fast iteration that come with working together in person, particularly at this stage of growth. The emphasis on teamwork and proximity aims to enhance collaboration and accelerate progress towards shared goals.,
As a part of our team at Raven, a YC-backed startup specializing in building AI assistants for manufacturing plants, you will play a crucial role in leveraging decades of manufacturing expertise to tackle real operational challenges through AI solutions. Based in Bangalore, our small yet dedicated team is committed to enhancing industrial operations to be safer, smarter, and more efficient. In this core technical position, your primary focus will be on developing AI-native applications and agents tailored for manufacturing workflows. Specifically, you will be responsible for: - Building Python/Go backend services that seamlessly integrate with AI systems. - Enhancing multi-modal pipeline infrastructure to manage P&IDs, SOPs, sensor data, and technical documents effectively. - Constructing agent memory systems utilizing knowledge graphs and event timelines. - Designing AI orchestration layers to facilitate decision-making workflows based on structured/unstructured plant data. - Conducting rapid prototyping of new AI workflows and deploying them in real-world plant settings. We are seeking individuals with at least 2-4 years of experience in building production systems, possessing strong Python/Go skills, familiarity with LLMs, embeddings, and vector stores. The ideal candidate should have a proactive approach to problem-solving, a keen interest in taking ownership of end-to-end solutions, and the ability to thrive in dynamic environments by iterating quickly and delivering tangible value. Moreover, a background in working at startups and the ability to adapt to various roles will be considered a bonus. By joining our team, you will have the opportunity to contribute to the development of core systems that empower plant teams to make informed decisions swiftly and safely. We offer a chance to shape the product, culture, and direction of the company as one of the initial hires, with a stake in the company through equity. You will be part of a collaborative environment that encourages fast iteration and in-person collaboration, focusing on addressing meaningful problems that have a direct impact on safety and efficiency in real-world scenarios.,
About Us Raven is a YC-backed startup (S22) building AI assistants for manufacturing plants. We’re taking decades of manufacturing expertise and combining it with AI to solve real operational problems. Backed by top VCs, we’re a small, focused team working to make industrial operations safer, smarter, and more efficient. We’re based in Bangalore, building for teams that work in some of the toughest environments. What You’ll Work On This is a core technical role focused on building AI-native applications and agents for manufacturing workflows. You’ll: Build Python/Go backend services that integrate tightly with AI systems. Help improve multi-modal pipeline infrastructure that handle P&IDs, SOPs, sensor data, and technical documents. Build agent memory systems using knowledge graphs and event timelines. Architect AI orchestration layers for decision making workflows from structured/unstructured plant data. Rapidly prototype new AI workflows and deploy in real-world plant environments. Who We’re Looking For 2–4+ years experience building production systems. Strong Python/Go skills, familiar with LLMs, embeddings, vector stores. Interest in owning problems and figuring out solutions Deep interest in owning problems end-to-end—from exploring the solution space to deploying working systems in production. Comfortable working in ambiguity, iterating fast, and shipping real-world value. Bonus: You’ve worked in a startup before and are comfortable wearing multiple hats. Why Join Us We’re not just building one-off tools—we’re building core systems that empower plant teams to make faster, safer decisions. This is about creating systems that process complex, scattered information and make it accessible in seconds. Here’s What We Offer Impact: Be one of the first hires and shape the product, culture, and direction of the company. Ownership: We’re offering 0.1-1% equity because this should feel like your company too. Focus: This is a chance to work on deep, meaningful problems that directly affect real-world outcomes in safety and efficiency. We believe in working together in person, especially at this stage of the company. Fast iteration and collaboration matter, and being in the room together makes a difference.
Raven is a YC-backed startup (S22) building AI assistants for manufacturing plants. We’re taking decades of manufacturing expertise and combining it with AI to solve real operational problems. Backed by top VCs, we’re a small, focused team working to make industrial operations safer, smarter, and more efficient. We’re based in Bangalore, building for teams that work in some of the toughest environments. What You’ll Work On You’ll own the interface between complex AI systems and real-world plant users. Specifically, You'll Build fast, intuitive UIs in React/TypeScript for operators, engineers, and technicians. Design agent-driven interfaces for chat, diagram annotation, workflow guidance, and real-time ops. Create frontend infrastructure for rendering large technical documents (e.g. P&IDs), live signals, and retrieved knowledge. Work closely with backend and AI engineers to ship workflows across the full stack. Translate ambiguity into clean user flows that make advanced AI feel simple. Who We’re Looking For 1–3+ years of frontend-heavy product development experience. Strong skills in React/TypeScript, with taste for clean, fast, and maintainable UIs. Comfort working across the stack—basic APIs, DB integrations, build tools. Interest in working with LLM-based agents, chat systems, and multimodal interfaces. Ownership mindset: you care about real-world impact, polish, and pushing features to production. Bonus: You’ve worked in a startup before and are comfortable wearing multiple hats. Why Join Us We’re not just building one-off tools—we’re building core systems that empower plant teams to make faster, safer decisions. This is about creating systems that process complex, scattered information and make it accessible in seconds. Here’s What We Offer Impact: Be one of the first hires and shape the product, culture, and direction of the company. Ownership: We’re offering 0.1-1% equity because this should feel like your company too. Focus: This is a chance to work on deep, meaningful problems that directly affect real-world outcomes in safety and efficiency. We believe in working together in person, especially at this stage of the company. Fast iteration and collaboration matter, and being in the room together makes a difference.
Role: AI Research Intern – Applied AI (3–6 months, Paid) Company: Raven (YC S22) Location: Bangalore, India (On-site preferred; Remote OK) Employment Type: Internship (Full-time during internship) Compensation: Paid internship About Us Raven is a YC-backed startup building AI assistants for manufacturing plants. We’re combining decades of industrial know-how with modern AI to help teams make faster, safer decisions from unified operational data. We’re a small, focused team in Bangalore, backed by top investors, and we move quickly from idea → real-world impact. Role Summary Hands-on applied AI internship focused on model evaluation and fine-tuning across vision/OCR/LLMs, with a path to turning promising results into production-ready components. What You’ll Work On Run experiments with open-source and commercial models (vision, OCR, LLMs). Fine-tune on custom datasets; build and run benchmarks (accuracy, latency, footprint). Prototype workflows that combine perception (text, layout, symbols) with reasoning (graphs, classifications). Document methods/results; collaborate with engineers to integrate into product. Minimum Qualifications Strong Python; experience with PyTorch or TensorFlow. Prior exposure to training/fine-tuning ML models (projects or internships). Clear, structured communication; comfort with messy, real-world data. Duration & Schedule 3–6 months ; Full-time commitment during the internship. Why Join Raven Work on high-impact, real industrial problems few startups tackle. Access unique datasets (documents, diagrams, logs) and ship outcomes quickly. Learn directly from a small founding team; see your work move from research to deployment. Equal Opportunity Raven is an equal opportunity employer. We do not charge fees at any stage of recruitment.
About Us Raven is a YC-backed startup (S22) building AI assistants for manufacturing plants. We’re taking decades of manufacturing expertise and combining it with AI to solve real operational problems. Backed by top VCs, we’re a small, focused team working to make industrial operations safer, smarter, and more efficient. We’re based in Bangalore, building for teams that work in some of the toughest environments. What You’ll Work On This internship is about pushing the boundaries of applied AI for complex industrial data. You’ll: Experiment with open-source and commercial AI models across vision, OCR, and LLMs. Fine-tune models on custom datasets and evaluate their performance on real-world tasks. Prototype workflows that combine perception (symbols, text, layouts) with reasoning (graphs, classifications). Help design and run benchmarks to measure accuracy, efficiency, and deployment readiness. Work closely with the core team to translate research findings into production-ready components. Who We’re Looking For Strong Python skills and experience with PyTorch or TensorFlow. Prior exposure to training or fine-tuning ML models (academic projects or internships). Curiosity and persistence to try multiple approaches, analyze results, and iterate fast. Comfortable working in ambiguity, where problems are open-ended and datasets are messy. Bonus: familiarity with YOLO/Ultralytics, MMDetection, Detectron2, Hugging Face, or OCR libraries. Duration 3–6 months internship, with potential for extension or conversion to a full-time role. Why Join Us Work on high-impact AI problems in a space that’s still largely untouched by modern ML. Access to real industrial datasets (documents, diagrams, logs) not easily available elsewhere. Learn how to take ideas from research notebooks → deployed systems in weeks. Collaborate closely with a small, technical founding team in a YC-backed, VC-funded startup.