AI Engineering Intern

Who Do We Look For

You are Company and Customer-First

If you join, you are a believer in our vision, mission, and product. You will become our spokesperson, dedicated to continually enhancing the lives of our customers.

You are an A team player

If you join, you will uphold the highest standards and strive to give your best. You will support your teammates, embracing challenges and celebrating successes together, all while contributing to a fun and positive environment where everyone enjoys what they do.

You are a Changemaker

If you join, you will act fast, make bold decisions, and embrace innovation. The sky's the limit!

GetSolar is not for everyone, but if this sounds exciting, please read on. You'll probably love it here.

The Opportunity

You'll help us build a cutting-edge integrated customer service agent — one that handles real customer queries externally and streamlines operations internally. You'll be writing production code, shipping AI agents on LangGraph, and seeing your work used by real customers and teammates.

You'll work directly with our Tech Lead and engineering team, using tools like Claude Code, LangGraph, and our GCP-native stack to build, test, and iterate on agentic workflows that make a measurable difference to how we serve our customers.

Your Role

• Build and optimize AI agents on LangGraph for customer query resolution, service automation, and internal operations
• Design and implement agentic workflows that integrate with our existing platforms (WhatsApp, CRM, scheduling)
• Test and evaluate agent performance — measuring response quality, resolution rates, and edge case handling
• Ship working features into our production environment, not just prototypes
• Document your work clearly so the team can build on it after you
• Collaborate across engineering, sales, and operations to understand what our customers and teammates actually need

Your Credentials

• Penultimate or final-year student in Computer Science, Data Science, AI, or a related field
• Solid Python skills — you can read, write, and debug real codebases, not just notebooks
• Hands-on experience with LangChain and/or LangGraph (coursework or personal projects count)
• Understanding of LLM fundamentals: prompting, tool use, retrieval, evaluation
• Comfortable with Git, pull requests, and working in a shared codebase
• Strong problem-solving instincts — you figure things out before asking for the answer
• Clear communicator who can explain technical decisions to non-technical teammates

What's In It For You

• Ship real AI features used by real customers at a company scaling fast in Southeast Asia's rooftop solar market
• Work hands-on with advanced AI tooling — LangGraph, Claude Code, and agentic architectures — not just dashboards and slide decks
• Get mentorship from experienced engineers and operators in both AI and cleantech
• Build your portfolio with tangible, production-grade work you can point to

Contract Type and Location

You must be able to commit for a minimum of 6 months, up to a maximum of 9 months. The role will be based in Singapore with an immediate start date.