Role overview

Qualifications

7+ years of professional backend software development experience (design, implementation, or consulting).
Bachelor's degree in Computer Science, Engineering, or a related field.
Experience with cloud platforms (AWS, Azure, GCP) and backend frameworks such as Django, Flask, FastAPI, Spring Boot, or Express.js.
Proficiency in Python, Node.js, Go, or Ruby with familiarity in CI/CD, version control, and databases (PostgreSQL, MySQL, MongoDB, Redis) and API technologies (REST/GraphQL).

Responsibilities

Design, develop, test, deploy, and maintain scalable, secure, high-performance backend systems with high availability and low latency.
Act as infrastructure subject matter expert when designing new products and integrating new technology into the product line.
Design event-driven architectures and develop APIs/microservices to support real-time processing and analytics.
Ensure system reliability and scalability through monitoring, logging, error handling, code reviews, and mentoring junior engineers.

Key facts

Remote from: India, Brazil
Full time
Senior (5-10 years)
Software Engineer
English

Other skills

Reliability
Humility
Communication
Teamwork
Mentorship
Problem Solving

About the company

Articul8 AI

Articul8 AI is a technology company whose products transform enterprise data and expertise into powerful engines of growth, value and impact. Our full-stack GenAI platform is revolutionizing how enterprises harness their data and expertise to build expert-level Generative AI applications for their mission-critical challenges. Our products deliver enterprise-scale impact with ROI in hours to weeks. General-purpose GenAI models, while necessary, are not sufficient to deliver enterprise-specific decisioning and actioning. Our platform addresses this gap by making it straightforward for companies to build sophisticated, enterprise-scale and expert-level GenAI applications that encode their domain expertise. Our proprietary technology does the heavy lifting through autonomous decisions and actions, automated data intelligence, improved precision and relevance with industry knowledge encoded into Articul8's library of domain and task-specific models. We are purpose-built for regulated industries and meet the highest standards of compliance, data security, privacy and performance, including traceability and auditability at every step. We are trusted by leading global enterprises like AIAA, Itochu Techno-Solutions Corporation, Uptycs, AWS, NIQ, Intel and Franklin Templeton to transform their mission-critical work. We are the enterprise GenAI platform that simply works! For more information, please visit www.articul8.ai.

Company details

Company size51 - 200

Links

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

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.