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 rapid-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

📌 AI Engineer – 0 to 1 Greenfield Opportunity (India)
🏢 CareerXperts Consulting
📍 India