GTM AI Engineer
About the team
Yanisa is an AI-first business growth and execution ecosystem built to help founders and businesses turn ideas into
scalable companies.
Yanisa combines AI, technology, growth, media, and physical infrastructure under one ecosystem. Rather than
operating like a traditional consulting or marketing agency that primarily provides recommendations, Yanisa focuses
on hands-on execution—identifying business constraints, building the required systems, and owning the execution
until measurable outcomes are achieved.
The ecosystem operates through four core engines:
Yanisa GaaS (Growth as a Service): Sales, operations, GTM, and revenue execution.
Yanisa Tech: AI agents, automation, CRM, software, and technology infrastructure.
Yanisa Media: Personal branding, content, podcasts, distribution, and inbound growth.
Yanisa Coworking: A founder-focused physical environment and community for building and operating businesses.
At its core, Yanisa believes that the future of business growth is not about simply working harder, but building better
systems. AI-native execution, automation, data, human expertise, and structured operating processes come together
to help companies move faster and scale with less operational friction.
Today, Yanisa has served 100+ founders and deployed 50+ AI systems, with its operating model focused on
achieving tangible results quickly rather than producing strategy decks without execution.
About the role
We are looking for a GTM AI Engineer who can work at the intersection of artificial intelligence, technology, business
operations, automation, and revenue generation.
This is not a conventional AI developer role. You will be responsible for understanding business challenges and
building practical AI-powered systems that improve customer acquisition, automate operations, optimise workflows,
and create scalable solutions across the Yanisa ecosystem.
You will work with emerging AI technologies, LLMs, AI agents, automation frameworks, APIs, and integrations to
develop systems that solve real business problems.
From building AI-powered sales systems and intelligent automation workflows to developing prototypes, MVPs, and
scalable AI solutions, your focus will be on turning ideas into working systems that deliver measurable business
outcomes.
The ideal candidate is a hands-on builder who understands both technology and business, experiments with
emerging tools, and takes ownership of developing and deploying solutions.
What you'll do
- Build AI-powered Go-To-Market systems across Yanisa's business verticals.
- Develop AI agents for sales, marketing, customer engagement, lead generation, and business operations.
- Build intelligent systems for prospect research, lead qualification, outreach, and follow-ups.
- Identify manual and repetitive processes that can be automated.
- Develop automation workflows to improve productivity and operational efficiency.
- Integrate CRMs, SaaS platforms, internal systems, APIs, and third-party applications.
- Build dashboards, reporting systems, and automated business intelligence workflows.
- Experiment with emerging AI technologies, LLMs, agentic systems, and automation frameworks.
- Develop prototypes, MVPs, and production-ready AI solutions.
- Contribute to AI-powered SaaS products and internal technology platforms.
- Convert successful experiments into scalable products, services, and reusable systems.
- Work with different Yanisa business verticals to understand operational and commercial challenges.
- Collaborate with sales, business development, operations, and engineering teams to implement AI-driven solutions.
- Identify opportunities to improve customer experience, revenue generation, and business efficiency.
- Take ownership of AI projects from problem identification and development to deployment and optimisation.
What we're looking for
- Minimum 2 years of relevant experience in AI engineering, software development, automation, or related technical
- roles.
- Hands-on experience building AI agents, workflows, and automation systems.
- Strong understanding of LLMs, APIs, prompt engineering, and AI integrations.
- Working knowledge of Python and/or JavaScript.
- Practical experience with automation platforms such as n8n, Make, or Zapier.
- Familiarity with CRM systems, databases, and third-party integrations.
- Understanding of agentic AI, RAG architectures, and vector databases is preferred.
- Strong analytical, problem-solving, and execution capabilities.
- Ability to understand business requirements and translate them into technical solutions.
- Experience developing and deploying practical AI-powered applications or systems.
- Ability to independently manage technical projects and deliver working solutions.
- A builder's mindset with a strong interest in experimenting, learning, and shipping.
What would also help
- We are looking for someone who:
- Builds instead of just discussing ideas.
- Experiments with emerging AI technologies and turns experiments into practical solutions.
- Understands that technology should solve actual business problems.
- Takes ownership of projects from concept to deployment.
- Can work independently and navigate different technical challenges.
- Is comfortable working across multiple industries and business verticals.
- Focuses on working systems, measurable improvements, and business outcomes rather than just writing code.
- Is curious, resourceful, and constantly looks for better ways to build and automate.
- At Yanisa, you won't be restricted to developing AI solutions for a single product or industry. You will get the
- opportunity to work across a growing business ecosystem, understand different business models, experiment with
- emerging technologies, and build systems that directly impact business growth. We are not looking for someone who
- just knows AI. We are looking for someone who can use AI to build better businesses.
The small print
- Selection Process -
- Resume & Portfolio Screening: Review of technical experience, previously built systems, and relevant projects.
- Introductory Loom Video: A short video explaining your experience, technical capabilities, and projects you have
- personally built.
- Practical AI Engineering Assignment: A hands-on assignment to evaluate your ability to solve real-world business
- and technical problems.
- Technical Discussion: Technical evaluation and live problem-solving exercise.
- Final Management / Founder Discussion: Discussion around technical ownership, execution capabilities, and
- alignment with Yanisa's operating approach.
- Candidates should be prepared to demonstrate AI systems, workflows, or products they have personally built, explain the
- problems they solved, and highlight measurable outcomes wherever possible.
Apply for this role
Fill in your details and we’ll be in touch