Level

Higgsfield AI

AI Engineer

Higgsfield AI is hiring an AI Engineer in Almaty, Kazakhstan. Level rates it ; you can apply on Higgsfield AI.

Level's read on this job

  • Builds AI ●●●● is how Level rates this AI engineer role: the job is building AI systems.
  • Tools and skills the posting cites include Python, JavaScript and LLMs.
  • Level classifies it as a mid-level role.
  • Level lists 95 other open roles at Higgsfield AI.

AI in this role

Build AI-native products, autonomous agents, and experimental workflows using frontier models and modern agent frameworks.

pythonjavascriptllmsmcpragagent-frameworks
ragai-agentsprompt-engineeringprototypingautomationmultimodal-systems
Why work at Higgsfield AI?

Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.

We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.

About the Role

We’re looking for a new-generation AI builder — someone between a software engineer, prompt engineer, automation hacker, and product innovator.

This is not a traditional SWE role.

You’ll work on AI-native products, internal agents, automations, and experimental workflows powered by the latest frontier models, open-source tooling, MCP ecosystems, and multimodal systems.

You should be the kind of person who constantly explores what’s happening in AI:

  • new agent frameworks

  • open-source tooling

  • AI video & creative workflows

  • MCP servers

  • coding agents

  • automation stacks

  • multimodal systems

  • new product patterns emerging every week

You don’t just follow trends — you prototype them.


Who We’re Looking For

You might be a fit if you:

  • Are a hustler who ships fast and experiments constantly

  • Have strong intuition for building new AI-native products and workflows

  • Stay deeply plugged into the AI ecosystem and emerging tooling

  • Understand how modern AI agents actually work under the hood

  • Can automate things quickly and creatively

  • Think in systems and workflows, not just prompts

  • Have strong product taste and curiosity

  • Thrive in fast-moving, ambiguous environments

  • Learn new tools obsessively fast


Must-Have Skills

  • Experience with JavaScript or Python (ideally both)

  • Comfortable building prototypes, automations, and internal tools

  • Understanding of:

    • LLMs

    • tokens/context windows

    • APIs & CLI tooling

    • MCP ecosystems

    • agent frameworks

    • tool use & orchestration

    • RAG / retrieval concepts

  • Experience using modern AI coding workflows and AI-native tooling

  • Ability to quickly turn ideas into working demos or systems


Big Plus

  • Experience with ML or training/inference infrastructure

  • Experience with multimodal or video-generation tooling

  • Familiarity with open-source AI ecosystems

  • Experience building agentic systems or autonomous workflows

  • Strong vibe-coding energy


What You’ll Work On

  • Build AI-native internal and external products

  • Prototype new agentic workflows and automation systems

  • Explore frontier AI tooling and identify new product opportunities

  • Experiment with multimodal generation systems

  • Build automations across engineering, creative, and operational workflows

  • Work closely with product, infra, and research teams

  • Help the company stay ahead of where the AI market is going


The deal

  • Top-of-market compensation in USD.

  • Small team, high autonomy, and outsized impact.

  • On-site role in our Almaty office (we will relocate you from anywhere).

How we rate this

AI Engineer at Higgsfield AI rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsPrompt engineeringPrototypingAutomationMultimodal SystemsPythonJavaScript

Also common in AI engineer jobs at this level

Pay

Typical AI engineer job
$185k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. How do you structure and test a prompt to get consistent output from a language model?
  4. Tell me about a project where prototyping was part of your work. What did you do?
  5. Tell me about a project where automation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, Prompt engineering, Prototyping, and Automation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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