--- title: 'Fullstack Software Engineer at Spector.ai' canonical: 'https://feeny.ai/job/fullstack-software-engineer-spector-ai-bengaluru-562wths26tkm' type: 'job' last_seen: '2026-09-10' --- # Fullstack Software Engineer at Spector.ai - **Company:** Spector.ai - **Location:** Bengaluru, India - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-10 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/spector-ai/68127883-4e2f-432b-95b2-e90335200b7c ## Job description ## Role Description We are seeking an experienced fullstack engineer to own both the frontend and backend of our Platform team, the backbone of Spector responsible for modeling equipment and asset information and delivering the user interface through which customers experience the entire product. This is a high-ownership role for a hands-on engineer who moves fluidly across the stack, cares about the systems everything else is built on, thrives in a startup environment, and is passionate about our mission. You will: - Own the frontend and backend of the Platform team, modeling equipment information and delivering the user interface for Spector. - Design and evolve the data models, APIs, and services that represent industrial assets and equipment. - Build intuitive, performant interfaces that make complex reliability data clear and actionable. - Weigh technical tradeoffs, review code, and uphold exceptional quality while iterating quickly. Must Have: - Bachelor's degree or higher in a relevant technical field such as computer science, and 3+ years of software engineering experience. - Proven experience building and shipping production web applications end to end. - Strong proficiency with React and Angular on the frontend and with Python and Node.js on the backend; familiarity with Java. - Solid understanding of API design, data modeling, and databases. - Strong collaboration and mentorship skills, working effectively with internal and external partners. - Entrepreneurial mindset: self-motivated, adaptable, and ready to take ownership of projects from concept to implementation. Preferred to have: - Experience designing platform or core-domain systems that other teams build on top of. - Experience building data-dense interfaces such as dashboards, monitoring, or analytics tooling. - Experience with cloud infrastructure, CI/CD, and observability. - Familiarity with industrial, IoT, or time series/sensor data. About [Spector.ai](http://Spector.ai) [Spector.ai](http://Spector.ai) is a well funded early-stage startup on a mission to solve the $1.5 trillion challenge of industrial asset reliability. Spector is building an AI first industrial agent platform designed to transform plant reliability and performance from reactive to autonomous operations. By combining machine learning and domain-specific industrial AI Agents, [Spector.ai](http://Spector.ai) enables real-time diagnostics, root cause analysis, and actionable recommendations at scale. The platform extracts insights from complex industrial data including unstructured documentation and live sensor streams reducing false positives, shortening time to resolution, and scaling expertise without reliance on data scientists. With early pilots in motion and major industry partnerships in place, [Spector.ai](http://Spector.ai) is pioneering the future of AI-powered plant health and performance. ## About Spector.ai ## Company Overview - **One-liner**: Spector.ai provides an AI agent-powered platform that streamlines industrial asset health management, enabling predictive maintenance and reliability for heavy-asset industries. - **Entity Type**: Private (Series A) - **Headquarters**: San Jose, California, USA, with an additional office in Bengaluru, India [cbinsights.com](https://www.cbinsights.com/company/spectorai) [builtin.com](https://builtin.com/company/spectorai) - **Founded**: 2023 or 2024 (conflicting reports – Built In and LinkedIn state 2023, CB Insights states 2024) [cbinsights.com](https://www.cbinsights.com/company/spectorai) [linkedin.com](https://www.linkedin.com/company/spector-aii) - **Founders**: Rishabh Uppal (Co-Founder & CTO), Sukrit Goel (Co-Founder) [linkedin.com](https://www.linkedin.com/company/spector-aii) ## Core Business - **Primary Industry**: Industrial AI, Asset Health Management, Predictive Maintenance - **Target Customers**: B2B; enterprise-level industrial plants in Oil & Gas, Chemicals, Manufacturing, Renewables, Power, and Infrastructure [spector.ai](https://spector.ai/) - **Mission**: To maximize plant reliability, performance, and uptime by deploying AI agents that continuously learn from operational events and optimize models in real time [spector.ai](https://spector.ai/) ## Products & Services - **AI Agent Platform**: Generative AI-based platform that automates predictive maintenance and visual inspection. Covers the full reliability lifecycle – extracting plant data for supervised ML training, failure mode identification, assisting operators with diagnostics, root cause analysis, and delivering actionable recommendations. Type: SaaS/API. ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric**: Total Funding of $6.7M (Series A, January 2026) [cbinsights.com](https://www.cbinsights.com/company/spectorai) [spector.ai](https://spector.ai/) - **Notable Investors**: IvyCap Ventures (lead investor), Blume Ventures [cbinsights.com](https://www.cbinsights.com/company/spectorai) - **Growth Signals**: 162.5% headcount growth year-over-year (now ~14 employees); opened a new Australia & Pacific region office led by Dinesh Singh (Sept 2025); Series A raised in January 2026 [linkedin.com](https://www.linkedin.com/company/spector-aii) [cbinsights.com](https://www.cbinsights.com/company/spectorai) ## Competitive Advantages - Uses **generative AI** purpose-built for industrial reliability, differentiating from traditional rule-based or manual methods. - AI agents continuously learn from new plant events and optimize predictive models in real time without human intervention. - Covers the **entire reliability lifecycle** – from supervised ML training data extraction to operator diagnostics and root cause analysis – in a single platform. ## Strategic Focus - **Scaling AI capabilities** across more industrial verticals and geographies (e.g., Australia & Pacific). - **Growing the engineering and data science team**, especially in ML/GenAI and DevOps roles. - Deepening partnerships with industrial operators to expand the platform’s continuous learning loop. ## Why Work Here - **Hybrid work environment**: Employees combine remote work with on-site presence in Mountain View, CA or Bengaluru, India [builtin.com](https://builtin.com/company/spectorai) - **Fast-growing startup**: 162.5% headcount growth in a year; small team (~14) offers high autonomy and impact. - **Cutting-edge AI**: Work on applied generative AI for real-world industrial problems (predictive maintenance, reliability). - **Open engineering roles**: Senior Machine Learning Engineer, ML Engineer (GenAI), DevOps Engineer – as of mid-2025 [jobs.ashbyhq.com](https://jobs.ashbyhq.com/spector-ai) - **Culture**: AI-first, reliability-focused, collaborative with a mix of technical talent from companies like Google, InteligenAI, and universities like CMU [linkedin.com](https://www.linkedin.com/company/spector-aii) ## Sources 1. [spector.ai - Company home page](https://spector.ai/) 2. [cbinsights.com - Company profile, funding, financials](https://www.cbinsights.com/company/spectorai) 3. [builtin.com - Careers, perks, office locations](https://builtin.com/company/spectorai) 4. [linkedin.com - Company page, employee growth, executives](https://www.linkedin.com/company/spector-aii) 5. [jobs.ashbyhq.com - Open roles](https://jobs.ashbyhq.com/spector-ai) ## Other roles at Spector.ai - [Reliability Head](https://feeny.ai/job/reliability-head-spector-ai-india-ghg4mdaxnncx) — India - [Senior Machine Learning Engineer (GenAI)](https://feeny.ai/job/senior-machine-learning-engineer-genai-spector-ai-bengaluru-7zx17edrakr8) — Bengaluru, India - [DevOps Engineer](https://feeny.ai/job/devops-engineer-spector-ai-bengaluru-5qn3dj4acjjg) — Bengaluru, India - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-spector-ai-bengaluru-as07n1sv1vbf) — Bengaluru, India - [Senior Machine Learning Engineer](https://feeny.ai/job/senior-machine-learning-engineer-spector-ai-bengaluru-1w95n81yvnt8) — Bengaluru, India - [Fullstack Software Engineer](https://feeny.ai/job/fullstack-software-engineer-physical-intelligence-san-francisco-4d81qeq8e7hy) — San Francisco, CA - [Fullstack Software Engineer](https://feeny.ai/job/fullstack-software-engineer-arb-interactive-united-states-g02788wd7mcq) — United States - [Fullstack Software Engineer](https://feeny.ai/job/fullstack-software-engineer-the-fork-paris-f5mgwxgbqm1c) — Paris, France - [Fullstack Software Engineer](https://feeny.ai/job/fullstack-software-engineer-collective-san-francisco-cqxqaarjchqc) — San Francisco, CA - [Fullstack Software Engineer](https://feeny.ai/job/fullstack-software-engineer-nozomi-networks-italy-57v4nbzx6021) — Italy