Full-Time

Fullstack Software Engineer

Spector.ai

Spector.ai

11-50 employees

AI agents for industrial plant operations

No salary listed

Bengaluru, Karnataka, India

Hybrid

Bachelor's

Category
Software Engineering (1)
Required Skills
Python
React.js
Node.js
Machine Learning
Java
Observability
REST APIs
Data Modeling
DevOps
Angular

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Requirements
  • A Bachelor's degree or higher in a relevant technical field such as computer science is required.
  • At least 3 years of software engineering experience is required.
  • Experience building and shipping production web applications end to end is required.
  • Strong proficiency with React and Angular on the frontend and Python and Node.js on the backend is required, with familiarity with Java.
  • A solid understanding of API design, data modeling, and databases is required.
  • Strong collaboration and mentorship skills are required for working effectively with internal and external partners.
  • The ability to work in a self-motivated, adaptable manner and take ownership of projects from concept to implementation is required.
Responsibilities
  • 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, application programming interfaces, 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.
Desired Qualifications
  • Experience designing platform or core-domain systems that other teams build on top of them.
  • Experience building data-dense interfaces such as dashboards, monitoring, or analytics tooling.
  • Experience with cloud infrastructure, continuous integration and continuous delivery, and observability.
  • Familiarity with industrial systems, the Internet of Things, or time-series and sensor data.

Spector.ai provides an AI Agentic Twin Platform for Intelligent Plant Operations. It helps industrial teams improve reliability, maximize asset performance, and raise efficiency by using specialized AI Agents to manage the reliability lifecycle. The platform automates workflows such as extracting and contextualizing plant data for supervised machine learning and failure mode identification, and it assists operators with diagnostics, root cause analysis, and actionable recommendations. It continuously learns from plant events and optimizes models in real time to deliver contextual insights that reduce unplanned downtime and maximize plant uptime. Compared with others, Spector.ai combines AI Agents with deep industrial expertise to offer end-to-end support across reliability and operations, enabling teams to transform operational data into measurable business value and make faster, more informed decisions.

Company Size

11-50

Company Stage

Early VC

Total Funding

$6.7M

Headquarters

San Jose, California

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • IvyCap led Spector.ai's ₹58 crore round on January 10, 2026.
  • Capital funds product innovation, global enterprise deployments, and knowledge-graph capabilities.
  • Industrial AI demand rises as plants chase downtime reduction, inspections, and maintenance savings.

What critics are saying

  • C3.ai, IBM Maximo, Siemens, and AspenTech dominate industrial reliability budgets.
  • Fresh capital must convert into named customers before the 2026 funding halo fades.
  • Brand confusion with Evergreen's Dublin Spector weakens search visibility and hiring credibility.

What makes Spector.ai unique

  • Spector.ai uses knowledge graphs and agentic AI for industrial reliability workflows.
  • Its platform targets oil, gas, manufacturing, utilities, and infrastructure operations.
  • It claims rapid deployment and measurable uptime gains within months.

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Growth & Insights and Company News

Headcount

6 month growth

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1 year growth

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Tech in Asia
Jan 8th, 2026
IvyCap Ventures leads $6.7M round in Indian industrial AI platform Spector.ai

Spector.ai, an Indian AI platform for industrial operations, has raised $6.7 million in a funding round led by IvyCap Ventures. The startup develops AI tools for industries including oil and gas, chemicals, manufacturing, utilities and automotive. The company's platform helps industrial clients monitor equipment, analyse data and improve operational reliability. The funding will be used to enhance its AI technology and expand global deployments. Spector.ai was founded to address the complexity of industrial operations and reduce equipment failures. The company's expansion creates opportunities for systems integrators specialising in Operational Technology and Information Technology integration, as well as potential partnerships with industrial Internet of Things vendors and implementation partners with plant reliability expertise.

The Economic Times
Jan 8th, 2026
Spector.ai raises $6.7 mn in funding led by IvyCap Ventures

Spector.ai has raised $6.7 million led by IvyCap Ventures for product innovation and global expansion in the industrial AI sector, aiming to improve operational efficiencies in various industries.

TechDay
Aug 3rd, 2025
Evergreen Acquires Spector in Ireland

Evergreen has acquired Dublin-based IT service provider Spector, marking its entry into the Irish market. Spector will operate independently within Evergreen's Lyra Technology Group, with Jamie Crooks as CEO and founder Mark Hurley as Chairman. The acquisition aligns with Evergreen's strategy to expand internationally by investing in locally established IT firms. Spector will gain access to global best practices and new capabilities in AI, cybersecurity, and automation, with no immediate staffing or pricing changes.