Job VC
AI Backend Engineer
Technologies
Description
Backend AI Engineer
[Freelance, Full-time, Remote]
SNEAK PEEK
⇨ Location:
Remote, GMT+0/+4
⇨ Interview process:
HR Interview ⇨ Technical interview ⇨ Take-home challenge ⇨ Presentation of home challenge
WHO ARE WE?
At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, machine-learning technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry.
THE ROLE
We’re looking for a strong systems-oriented engineer with hands-on LLM experience to join our AI Innovation team. In this role, you’ll build AI systems and internal products that improve how teams work across different departments and areas in the company. The common denominator is ownership: you should be comfortable leading projects end-to-end, including clarifying needs with stakeholders, making decisions under ambiguity, and pushing through blockers when they arise.
This role is a strong fit for someone who enjoys both sides of applied AI work: full-stack engineering and practical use of LLM capabilities.
Hiring manager:
Ori Nahum, AI Innovation Team Lead
What you’ll be working on
Examples of projects you may work on:
AI agents for code generation workflows (especially in mobile applications)
A mobile app navigation agent
Backend services that orchestrate LLM workflows, tool calling, and integrations with internal systems
AI chatbot connected to internal data sources and business systems
And other new AI-driven solutions that support different departments across the company
You’ll be expected to move between experimentation and implementation: validating ideas quickly, turning the promising ones into reliable tools, and leading projects far enough to make them useful in practice, not just technically possible.
WHAT ARE WE LOOKING FOR?
Must-have
5+ years experience in software development (preferably in Python, TypeScript, or mobile development).
Ability to lead projects from idea to production, including aligning with stakeholders, driving decisions, and proactively removing blockers when needed
Hands-on experience building LLM-based products, tools, or agents beyond toy prototypes
Good understanding of prompt design, tool calling, orchestration, and how to make LLM systems actually useful
Strong English communication skills
Big advantage
Experience building internal developer tools or productivity systems
Background in mobile development, especially native Android or iOS
Design and implement evaluation frameworks to assess AI performance, accuracy, and reliability.
Solid understanding of ML theory and how LLMs work under the hood, including key concepts, limitations, and trade-offs beyond the API layer
Familiarity with cloud infrastructure / DevOps / CI-CD
Good judgment around where AI adds value and where it doesn’t
Who will do well here
You’ll likely do well in this role if you:
Like building practical systems, not just demos
Take initiative without waiting for perfect specs
Enjoy exploring new tools, but know how to separate hype from what’s actually useful
Want the freedom to research, experiment, and then ship
Enjoy working across different problem spaces and use cases, rather than staying in one narrow lane
INTERESTED?
Our recruitment process consists of the following steps:
HR interview with the recruitment manager: 45 min
Technical interview with the AI Engineer Tech Lead & Team Lead: 1 hour
Take-home challenge: ~ 4 hours of work
Final Interview - take-home challenge presentation with CTO and AI Engineer Team Lead and Tech Lead: 1 hour
[Freelance, Full-time, Remote]
SNEAK PEEK
⇨ Location:
Remote, GMT+0/+4
⇨ Interview process:
HR Interview ⇨ Technical interview ⇨ Take-home challenge ⇨ Presentation of home challenge
WHO ARE WE?
At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, machine-learning technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry.
THE ROLE
We’re looking for a strong systems-oriented engineer with hands-on LLM experience to join our AI Innovation team. In this role, you’ll build AI systems and internal products that improve how teams work across different departments and areas in the company. The common denominator is ownership: you should be comfortable leading projects end-to-end, including clarifying needs with stakeholders, making decisions under ambiguity, and pushing through blockers when they arise.
This role is a strong fit for someone who enjoys both sides of applied AI work: full-stack engineering and practical use of LLM capabilities.
Hiring manager:
Ori Nahum, AI Innovation Team Lead
What you’ll be working on
Examples of projects you may work on:
AI agents for code generation workflows (especially in mobile applications)
A mobile app navigation agent
Backend services that orchestrate LLM workflows, tool calling, and integrations with internal systems
AI chatbot connected to internal data sources and business systems
And other new AI-driven solutions that support different departments across the company
You’ll be expected to move between experimentation and implementation: validating ideas quickly, turning the promising ones into reliable tools, and leading projects far enough to make them useful in practice, not just technically possible.
WHAT ARE WE LOOKING FOR?
Must-have
5+ years experience in software development (preferably in Python, TypeScript, or mobile development).
Ability to lead projects from idea to production, including aligning with stakeholders, driving decisions, and proactively removing blockers when needed
Hands-on experience building LLM-based products, tools, or agents beyond toy prototypes
Good understanding of prompt design, tool calling, orchestration, and how to make LLM systems actually useful
Strong English communication skills
Big advantage
Experience building internal developer tools or productivity systems
Background in mobile development, especially native Android or iOS
Design and implement evaluation frameworks to assess AI performance, accuracy, and reliability.
Solid understanding of ML theory and how LLMs work under the hood, including key concepts, limitations, and trade-offs beyond the API layer
Familiarity with cloud infrastructure / DevOps / CI-CD
Good judgment around where AI adds value and where it doesn’t
Who will do well here
You’ll likely do well in this role if you:
Like building practical systems, not just demos
Take initiative without waiting for perfect specs
Enjoy exploring new tools, but know how to separate hype from what’s actually useful
Want the freedom to research, experiment, and then ship
Enjoy working across different problem spaces and use cases, rather than staying in one narrow lane
INTERESTED?
Our recruitment process consists of the following steps:
HR interview with the recruitment manager: 45 min
Technical interview with the AI Engineer Tech Lead & Team Lead: 1 hour
Take-home challenge: ~ 4 hours of work
Final Interview - take-home challenge presentation with CTO and AI Engineer Team Lead and Tech Lead: 1 hour