AI Engineer – 0 to 1 Greenfield Opportunity

AI Engineer responsible for building AI systems from the ground up in a true 0-to-1 environment. Role focuses on transforming early-stage ideas into production-ready products through rapid experimentation, strong engineering fundamentals, and practical AI implementation.
This is a greenfield opportunity where architecture, workflows, and product direction are still being shaped. Requires someone comfortable with ambiguity, fast execution, and building without rigid playbooks.
Role Focus Areas
Building AI systems from concept to production
Rapid experimentation and product iteration
Full-cycle development across AI, backend, and integrations
Key Responsibilities
Design and develop AI-powered applications and intelligent workflows
Build and integrate machine learning models into production systems
Work across backend services, APIs, databases, and AI layers
Develop scalable systems capable of handling evolving product requirements
Collaborate closely with product and engineering teams during early-stage development
Prototype, test, and iterate quickly based on feedback and real usage
Optimize system performance, model efficiency, and scalability
Maintain clean architecture and high engineering standards
Stay updated on emerging AI technologies, tooling, and frameworks
Expected Outcomes
Functional AI-driven products built from early-stage concepts
Fast iteration cycles with measurable product improvements
Scalable technical foundations supporting future growth
Strong engineering quality across rapidly evolving systems
Core Competencies
Strong software engineering fundamentals and system thinking
Experience building AI or machine learning-driven applications
Proficiency in Python, APIs, and backend development
Ability to work independently in fast-moving environments
Strong problem-solving and experimentation mindset
Experience & Qualifications
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field
2–6 years of experience in AI engineering, software engineering, or applied machine learning roles
Preferred Background
Experience working in startups or greenfield product environments
Familiarity with LLMs, NLP, AI agents, or workflow automation systems
Exposure to cloud platforms such as AWS, Azure, or Google Cloud
Understanding of scalable architectures and production AI systems
What This Role Offers
Opportunity to build AI products from zero to scale
High ownership and direct influence on technical direction
Exposure to cutting-edge AI technologies and real-world implementation
Fast-moving environment with strong learning and growth opportunities

Work arrangement
Yes