Full-Time

Principal Software Engineer

Backend

Posted on 6/21/2025

Articul8

Articul8

51-200 employees

Develops enterprise AI solutions for businesses

No salary listed

Senior, Expert

Dublin, CA, USA

Category
Backend Engineering
Software Engineering
Required Skills
RabbitMQ
Kubernetes
Microsoft Azure
FastAPI
Python
Git
Apache Kafka
Java
Postgres
GraphQL
Docker
Microservices
AWS
Flask
Django
Google Cloud Platform
Requirements
  • Bachelor’s degree in Computer science, Computer Engineering, or relevant technical field, or equivalent practical experience.
  • 8+ years of professional experience in backend development with Python/Java.
  • Strong proficiency in building RESTful and GraphQL APIs using frameworks like FastAPI, Flask, or Django.
  • Solid understanding of API design principles, authentication, and authorization mechanisms (OAuth, JWT).
  • Experience with relational and NoSQL databases (PostgreSQL, GraphDB, VectorDB etc.).
  • Familiarity with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
  • Knowledge of software development best practices, including version control (Git), CI/CD pipelines, and automated testing.
  • Experience with AI/ML model integration, data pipelines, and MLOps workflows.
  • Knowledge of message brokers and event-driven architectures (Kafka, RabbitMQ).
  • Background in microservices architecture and distributed systems.
  • Familiarity with feature flagging technologies and multi-tenant SaaS environments.
  • Strong problem-solving skills and attention to detail.
Responsibilities
  • Design, develop, and maintain high-performance, scalable RESTful and GraphQL APIs using Python.
  • Collaborate with AI/ML engineers, data scientists, and frontend developers to build and integrate AI/ML features into the platform.
  • Optimize backend services for performance, reliability, and scalability in cloud and on-premises environments.
  • Implement secure, efficient data handling and processing pipelines for AI/ML workflows.
  • Write clean, maintainable, and well-documented code, following best practices in software engineering.
  • Troubleshoot, debug, and resolve technical issues in production and development environments.
  • Participate in code reviews, architecture discussions, and technical design sessions.
  • Ensure API security, compliance, and performance standards are met.
  • Mentor and develop engineers, help define and grow the technical culture, and assist in attracting and retaining engineering talent.
  • Rotating responsibilities for on-call when required.

Articul8 AI focuses on providing enterprise AI solutions that enhance business operations. The company develops a suite of AI-powered tools designed to integrate seamlessly into existing enterprise systems, improving efficiency and decision-making. Their products likely include applications in natural language processing, predictive analytics, and machine learning tailored for business intelligence. What sets Articul8 AI apart from competitors is its strong emphasis on practical applications of AI technology in large-scale enterprises, which has attracted significant investor interest, including a $150 million Series A funding round. The goal of Articul8 AI is to shape the future of AI adoption in businesses, helping them leverage AI technologies to gain a competitive edge.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Palo Alto, California

Founded

2024

Simplify Jobs

Simplify's Take

What believers are saying

  • Articul8 achieved unicorn status with a $1 billion valuation in January 2024.
  • The company secured $150 million in Series A funding, led by Lightspeed Venture Partners.
  • Articul8's GenAI models achieve 92% accuracy in industrial workflows, outperforming general AI models.

What critics are saying

  • Articul8's reliance on Intel's technology could pose risks if Intel changes strategy.
  • Rapid AI development may increase competition, potentially eroding Articul8's market share.
  • High valuation may lead to investor scrutiny and pressure for rapid returns.

What makes Articul8 unique

  • Articul8 AI specializes in enterprise AI solutions for seamless system integration.
  • The company offers domain-specific GenAI models for supply chain optimization.
  • Articul8's A8 Essential product enables enterprises to explore insights without technical expertise.

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Benefits

Professional Development Budget

Flexible Work Hours

Company Social Events

Growth & Insights and Company News

Headcount

6 month growth

-4%

1 year growth

4%

2 year growth

39%
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SRM Today
Apr 9th, 2025
Articul8 launches A8-SupplyChain to revolutionise industrial AI

Articul8 has recently introduced a series of generative artificial intelligence (GenAI) models designed to enhance supply chain, manufacturing, and industrial operations.

PYMNTS
Apr 5th, 2025
Articul8 Launches Domain-Specific Genai Models Built For Supply Chain Operations

Articul8 has launched a family of GenAI models built to optimize supply chain, manufacturing and industrial process operations. The new A8-SupplyChain models are domain-specific and have the deep contextual understanding needed to autonomously translate complex technical documentation into structured, actionable sequences, the company said in a Friday (April 4) press release. “We built A8-SupplyChain specifically to tackle the problems that general-purpose GenAI can’t: delivering accurate, transparent and fully traceable reasoning through complex technical documentation and real-world workflows,” Articul8 Founder and CEO Arun Subramaniyan said in the release. “This is not just another model — it’s a fully autonomous system built specifically for mission-critical environments.”

VentureBeat
Apr 4th, 2025
Beyond Rag: How Articul8’S Supply Chain Models Achieve 92% Accuracy Where General Ai Fails

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. In the race to implement AI across business operations, many enterprises are discovering that general-purpose models often struggle with specialized industrial tasks that require deep domain knowledge and sequential reasoning.While fine-tuning and Retrieval Augmented Generation (RAG) can help, that’s often not enough for complex use cases like supply chain. It’s a challenge that startup Articul8 is looking to solve. Today, the company debuted a series of domain-specific AI models for manufacturing supply chains called A8-SupplyChain. The new models are accompanied by Articul8’s ModelMesh, which is an agentic AI powered dynamic orchestration layer that makes real-time decisions about which AI models to use for specific tasks.Articul8 claims that its models achieve 92% accuracy on industrial workflows, outperforming general-purpose AI models on complex sequential reasoning tasks.Articul8 started as an internal development team inside Intel and was spun out as an independent business in 2024

GlobeNewswire
Jan 7th, 2025
Articul8 Ai Unveils "A8 Essential" - A New Genai Product That Enables Enterprises To Rapidly Explore Insights From Their Complex Data To Unlock Value

SANTA CLARA, Calif., Jan. 07, 2025 (GLOBE NEWSWIRE) -- Articul8 AI (“Articul8”), a Generative AI (GenAI) enterprise software company, announced the launch of A8 Essential, an innovative self-service GenAI product that enables customers to unlock the full potential of their data, providing groundbreaking insights and outcomes from day one. A8 Essential fills the unmet need in the market to build complex, domain-specific, enterprise-grade GenAI applications. It allows customers to easily experience the capabilities of Articul8's production-grade autonomous GenAI platform with their own data without the need for any application development, code development or data science experience. With an intuitive and easy-to-use GenAI user interface designed for domain experts to have an immersive collaborative experience, A8 Essential abstracts the complexity of building and using GenAI for real-world applications and helps customers accelerate their GenAI time to outcomes. A8 Essential stands out through the Data Perception module that autonomously processes unstructured and structured data from diverse formats—including text, images and tables—combining LLMs with advanced techniques such as topological data analysis, clustering and graph modeling