AI / ML Engineer
AI Solutions — Hybrid (Full-Time)
Build practical AI systems that automate work and surface insight for clients.
We focus on practical AI — assistive workflows, smarter search, and automation that saves hours. You will prototype carefully and ship what actually helps clients.
Responsibilities
- Prototype practical AI / automation features
- Integrate models and APIs into product surfaces
- Evaluate quality, cost, and safety trade-offs
- Explain solutions simply to stakeholders
- Ship experiments into production carefully
- Share findings with the delivery team
Qualifications & Requirements
- Relevant experience or strong project proof for the role
- Ability to learn quickly and work in a team
- Clear communication with engineers and clients
- Ownership of tasks from start to finish
- Interest in continuous improvement
- Portfolio or work samples preferred
What We Offer
- Competitive remuneration for the role level
- Mentorship, code reviews, and real project ownership
- Hybrid / flexible options where the role allows
- Exposure to modern stacks used in client delivery
- Supportive, flat culture with room to grow
- Chance to publish learnings on the Intern Blog
Full Role Notes
About the role
Prototype and productionize AI features for client and internal products — assistive workflows, smarter search, and automation that saves hours.
Responsibilities
- Evaluate models/tools for quality, cost, and safety
- Integrate APIs into Laravel/product surfaces
- Measure outcomes and iterate with stakeholders
- Document experiments clearly for the team
Requirements
- Python and ML fundamentals
- Ability to explain solutions simply
- Experience with APIs / LLM tooling is a plus
- Strong judgment about when AI should not be used
Prototype and productionize AI features for client and internal products — assistive workflows, smarter search, and automation that saves hours.
Responsibilities
- Evaluate models/tools for quality, cost, and safety
- Integrate APIs into Laravel/product surfaces
- Measure outcomes and iterate with stakeholders
- Document experiments clearly for the team
Requirements
- Python and ML fundamentals
- Ability to explain solutions simply
- Experience with APIs / LLM tooling is a plus
- Strong judgment about when AI should not be used