Full Stack Engineer at Entangl, Inc. — New York, NY

Neolife Updates; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Entangl, Inc. in New York, NY is seeking a Full Stack Engineer to take products from idea to production across backend systems, AI workflows, and web/mobile interfaces.

You will make architectural calls, shape the user experience, and build tools that operate in live facilities, connecting the digital design to the physical world. Join a small, ambitious team working directly with founders and customers to ensure reliability of critical infrastructure and real-time data processing.

Qualifications

• Experience designing resilient backend services and intuitive frontend experiences.
• Familiarity with AI workflows and LLM APIs.
• Exposure to telemetry, monitoring tools, or real-time data processing.
• Ownership mindset with decisive problem-solving.

Responsibilities

• Own core platform components from conception through deployment.
• Set architectural direction for the product and company.
• Collaborate with frontline operators to solve real-world facility challenges.
• Develop across backend, AI workflows, and web/mobile interfaces with no silos.

Skills

Full stack depth

AI workflow familiarity

Telemetry awareness

Ownership mindset

Tools

Grafana

Prometheus

Job description

Full Stack Engineer at Entangl, Inc. in New York, NY

The AI boom depends on data centers coming online and staying online. Behind every model training run and inference call lies physical infrastructure that must perform flawlessly. Entangl, Inc., based in New York, NY, is building the AI operating layer that makes that reliability possible. Their platform connects engineering knowledge, equipment data, and live telemetry so teams can catch problems before they become outages.

As a Full Stack Engineer, you will take products from first idea to production across backend systems, AI workflows, and web and mobile interfaces. Working directly with founders and customers, you will make architectural calls, shape the user experience, and build tools people trust under pressure. Your code will go to work inside live facilities, creating a direct connection between what you build and the physical world.

What You Will Actually Do

Bringing critical facilities online — and keeping them running — is one of the defining engineering challenges of the AI era. Entangl's ambition is to become the operating layer for the world's most critical infrastructure. Your contributions will directly advance that mission through:

• Owning foundational systems: Take responsibility for core platform components from conception through deployment.
• Shaping technical direction: Make architectural decisions that influence the product and the company's trajectory.
• Engaging with customers: Collaborate directly with frontline operators to understand facility challenges and build solutions that work under real-world pressure.
• Spanning the full stack: Build across backend services, AI workflow integration, and web and mobile interfaces — no handoffs, no silos.

Core Qualifications and Mindset

Entangl seeks engineers who thrive where autonomy and high stakes coexist. Ideal candidates bring:

• Full stack depth: Experience designing resilient backend services and crafting intuitive frontend experiences.
• AI workflow familiarity: Comfort integrating LLM APIs or building data pipelines for machine learning workflows.
• Telemetry and infrastructure awareness: Exposure to IoT, monitoring tools, or real-time data processing pipelines.
• A builder's mentality: Decisiveness, ownership, and the drive to see a blank architecture diagram as an opportunity.

Application Tips for Engineering Candidates

• Showcase end-to-end ownership: Highlight projects where you built both backend logic and the user-facing interface. Entangl wants engineers who own the entire product lifecycle.
• Emphasize infrastructure exposure: Experience with telemetry pipelines, systems monitoring tools like Grafana and Prometheus, or IoT integrations sets you apart.
• Highlight AI workflow experience: Even basic experience integrating LLM APIs or building data pipelines for machine learning signals readiness for this role.
• Reference open-source contributions: A clean, well-documented GitHub repository speaks louder than a list of buzzwords.
• Prepare for system design discussions: Expect conversations about scaling backend systems and handling real-time data streams during interviews.

Why This Opportunity Matters

This is a chance to join early at a company whose ambition reaches far beyond conventional software. The work shapes not just a product, but the foundation that the next generation of computing will depend on. For an engineer who wants decisions that shape the company and work that shapes an industry, few early-stage roles offer this level of impact.