Join Distyl AI as a Back End Software Engineer to build scalable AI infrastructure for enterprise AI systems.
Posted by employer 6 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 11 hours ago
Skills & Technologies
AI in the day-to-day
Strong interest in AI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows.
Requirements
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Software Engineer - Back End at Distyl AI, the individual will focus on designing and optimizing the AI-native platform that supports enterprise AI systems for Fortune 500 clients. Key skills include proficiency in Python, cloud platforms like AWS or GCP, and experience with Kubernetes and CI/CD practices. This position is suitable for candidates with 3 to 10+ years of software engineering experience, particularly those interested in AI development and scalable systems. Distyl AI fosters a mission-driven culture that emphasizes collaboration and innovation.
Joblaze insights
Quick facts
From the original posting
As a Software Engineer Back End you will help design, build, and optimize Distillery—our AI-native platform that powers real-world enterprise AI systems for diverse F500 workflows.
Your role will involve developing scalable AI infrastructure, ensuring system reliability, and collaborating with engineers and business leaders to solve some of the most complex AI deployment challenges.
Build & Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure.
Develop Cloud-Native Microservices & Scalable AI Systems: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure.
Optimize System Performance & Reliability: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.
Collaborate with Cross-Functional Teams: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.
We are hiring multiple roles across different levels of seniority (3-10+ years of software engineering experience)
Proficiency in Backend & Systems Engineering. Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems
Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code
Strong interest in AI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows
Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus
Travel: Ability to travel 10-20%
The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
Flexible time off
Complimentary in-office lunches and snacks provided
Ownership of high-impact projects across top enterprises
We’re grateful for the strong interest in this role. The best way to get your profile in front of our team is to apply directly through our careers page, where all applications are reviewed. Due to the high volume of interest, we’re not able to review or respond to all direct emails or LinkedIn messages. We will be in touch with every applicant once we’ve completed our review, regardless of the decision.
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