---
title: 'Software Engineer (India) at Articul8'
canonical: 'https://feeny.ai/job/software-engineer-india-articul8-brazil-xgkd5dbqes6z'
type: 'job'
last_seen: '2026-09-10'
---

# Software Engineer (India) at Articul8

- **Company:** Articul8
- **Location:** Brazil
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-05-06
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/articul8/21e643cf-0cf0-48ea-898b-c1b17926d2fb/application

**Skills:** Backend Software Development, System Design, APIs, Microservices, Event-driven Architecture, Monitoring, Logging, Error Handling, AWS, Azure, GCP, Python, Node.js, Go, Ruby, CI/CD, Version Control, Django, Flask, OpenAPI

> Design, develop, and maintain scalable backend systems and infrastructure for GenAI-powered products. Collaborate with cross-functional teams to ensure high availability, low latency, and cost-effectiveness while mentoring junior engineers and contributing to open-source projects.

## Job description

About Us: Articul8 was born from a simple belief: GenAI should work for the enterprise, not the other way around. Our platform — combining domain-specific models, autonomous agentic reasoning (ModelMesh™), reliable model evaluation (LLM-IQ™), and multimodal understanding — serves regulated industries such energy, semiconductor, finance, aerospace, supply chain, and more. Trusted by Fortune 500 enterprises, we bring together research, engineering, product, and domain expertise to deliver AI that meets the accuracy, explainability, and auditability standards that high-stakes environments demand. Job Description: Articul8 AI is seeking an exceptional Product/Software Engineer-Backend to join us in shaping the future of Generative Artificial Intelligence (GenAI). We are looking for a Product/Software Engineer-Backend with a proven track record of designing and building scalable production-level software. As a member of our Product Technology team, you will play a critical role in designing, developing, and maintaining the backend software and infrastructure supporting our GenAI-powered products. You'll collaborate with cross-functional teams to drive innovation, optimize performance, and foster growth. This position offers exciting opportunities to work closely with cross-functional teams and external partners to drive innovations in enterprise-grade GenAI. Responsibilities:

- Design, develop, test, deploy, maintain, and improve scalable, secure, and high-performance backend systems, focusing on high availability, low latency, and cost-effectiveness.
- Be the subject matter expert in infrastructure when designing new products and introducing new technology to our existing product line.
- Collaborate closely with engineering and research teams to integrate infrastructure components with product features, ensuring optimal system performance and user experience.
- Design event-driven architectures and develop APIs and microservices to support real-time processing and analytics.
- Ensure system reliability, performance, and scalability through monitoring, logging, and error handling mechanisms.
- Stay up-to-date with emerging trends, technologies, and methodologies, applying this knowledge to enhance our infrastructure capabilities.
- Participate in code reviews, contribute to open-source projects, and mentor junior engineers.

Required Qualifications:

- Professional experience: 7+ years of design, implementation, or consulting in applications and backend software development experience.
- Education: BSc degree in Computer Science, Engineering, or a related field.

Preferred Qualifications:

- Technology stack:
- Cloud Platforms: AWS, Azure, GCP
- Programming/ Development: Python, Node.js, Go, Ruby, CI/CD pipelines, and version control.
- Frameworks: Django, Flask, OpenAPI, FastAPI, Spring Boot, Express.js
- Databases: PostgreSQL, MySQL, MongoDB, Redis
- API Management: REST, GraphQL.
- Container Orchestration: Kubernetes, Docker Swarm
- Education: Master’s or PhD in Computer science or related technical fields.

Professional Attributes (Code42):

- Practice Humility: You ask questions even when you think you know the answer. You seek feedback early, learn from anyone regardless of title, and treat every experiment — especially the failures — as data.
- Bias for Outcomes: You measure your work by what changed, not what you tried. You ship results, not slide decks. When a deadline is real, you find a way.
- Care Deeply: You treat every problem as yours to solve. You review your own work with the rigor you'd want from a reviewer. You help teammates without being asked.
- Dare to Do the Impossible & Embrace Scarcity: You set goals that make you uncomfortable. When told something can't be done, you find a way or a better question. Constraints sharpen your thinking, not slow it down.
- Build a Better World: You believe AI should make things meaningfully better for real people. You hold yourself accountable not just for whether your model works, but for what it does in the world.

## About Articul8

## Company Overview
- **One-liner**: Articul8 provides a full-stack domain-specific generative AI platform for enterprises in regulated industries, enabling them to build expert-level AI applications within their own IT environments.
- **Entity Type**: Private (Series B)
- **Headquarters**: Dublin, California, USA
- **Founded**: 2024
- **Founders**: Arun K. Subramaniyan

## Core Business
- **Primary industry/industries**: Enterprise AI, Generative AI, Domain-Specific AI
- **Target customers**: Large enterprises in regulated industries including energy, manufacturing, aerospace, semiconductors, and financial services (B2B, Enterprise)
- **Mission or purpose statement**: To transform enterprise data and expertise into powerful engines of growth, value, and impact by making it straightforward for companies to build sophisticated, enterprise-scale, and expert-level GenAI applications that encode their domain expertise.

## Products & Services
- **Articul8 Platform**: A full-stack GenAI platform that processes enterprise data into AI applications, facilitating decision-making, data automation, and adherence to security and privacy standards. It features autonomous agentic reasoning, model evaluation and dynamic routing (LLM-IQ™), and a proprietary ModelMesh™ for multi-agent collaboration.
- **Domain-Specific Models (DSMs)**:
  - **A8-Energy**: Developed with EPRI; trained on 10,000+ specialized energy datasets for expert reasoning in the energy sector.
  - **A8-SupplyChain**: Optimized for manufacturing and supply chain operations; reasons over complex technical documentation without data replication.
  - **A8-Fin**: Finance-focused DSM for tasks such as tabular analysis, portfolio management, and compliance.
  - **A8-Semicon**: Verilog-capable DSM for semiconductor engineering, integrating domain knowledge with reasoning for complex chip design workflows.
- **Hyper-Personalized Agent Models**: Developing hyper-personalized agents for enterprise users.

## Market Standing
- **Valuation/Market Cap**: $500 million pre-money valuation (Series B, January 2026)
- **Key Metric**: Total funding of $35M raised (Series B, first tranche); $100 million in total contract value; projected annual recurring revenue of just over $57 million for 2026
- **Notable Investors/Partners**: Adara Ventures (lead), Aditya Birla Ventures, Accel, Peak XV Partners, NXC, and 14+ others. Partners include Nvidia, Google Cloud, AWS, and Databricks. Customers include Hitachi Energy, AWS, Franklin Templeton, Intel, AIAA, Itochu Techno-Solutions Corporation, Uptycs, and NIQ.
- **Growth Signals**: Revenue-positive with 29 paying customers; 5x valuation increase from Series A ($100M post-money) to Series B ($500M pre-money); expanding internationally with focus on Europe and Asia (Japan, South Korea, India); recognized by Gartner as a Tech Innovator in Domain-Specific AI for Manufacturing and Energy.

## Competitive Advantages
- **Domain-Specific Focus**: Unlike general-purpose models, Articul8’s DSMs are purpose-built for regulated industries, achieving 90%+ accuracy versus ~60% for competing models in proprietary benchmarks, and 28% more accurate than leading general LLMs.
- **Enterprise-Grade Security**: SOC 2 Type II compliant with certified security and confidentiality standards, observability, auditability, and traceability at every step.
- **Cost Efficiency**: 3.5x cheaper than best open-source models, with a 2x performance boost over the latest open-source state-of-the-art models.
- **Proven Performance**: Matches or exceeds proprietary models like Google Flash 2.0 and GPT-4o at a fraction of the compute cost.
- **Customer Lock-In**: Deep integration into customer IT environments and domain-specific workflows creates high switching costs.

## Strategic Focus
- **International Expansion**: Scaling operations in Europe (backed by Adara Ventures and the European Investment Fund) and Asia (Japan, South Korea, India).
- **Heritage AI Venture**: Raising $30-50 million for an India-based AI entity focused on traditional knowledge systems (Sanskrit, classical Indian languages) with applications in drug discovery, metallurgy, healthcare, and education.
- **Product Development**: Expanding research and product development, particularly in agentic reasoning systems and hyper-personalized models.
- **Marketplace Availability**: Available on AWS, Microsoft Azure, Google Cloud Platform, and Databricks to simplify deployment and integration.

## Why Work Here
- **Culture**: 80% of the 75-person team is focused on R&D, indicating a strong engineering and research culture. The company is revenue-positive and not cash-strapped, providing stability.
- **Remote/Hybrid Policy**: Offers remote and hybrid roles across offices in Dublin, CA (USA), Brazil, and India.
- **Notable Perks**: Opportunity to work on cutting-edge domain-specific AI for regulated industries; involvement in a high-growth spinout from Intel with strong backing from top-tier VCs; chance to contribute to heritage AI initiatives preserving ancient knowledge systems.
- **Engineering Culture**: Emphasis on autonomous decisions and actions, automated data intelligence, and building expert-level GenAI applications. Roles include Applied AI Researchers, Software Engineers, and Infrastructure Engineers.

## Sources
1. [articul8.ai](https://www.articul8.ai/)
2. [cbinsights.com](https://www.cbinsights.com/company/articul8-ai)
3. [techcrunch.com](https://techcrunch.com/2026/01/07/intel-spin-off-articul8-is-halfway-to-70m-ai-funding-round-at-500m-valuation/)
4. [builtin.com](https://builtin.com/company/articul8-ai)
5. [pitchbook.com](https://pitchbook.com/profiles/company/550870-03)

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