We're hiring for an Artificial Intelligence Engineer for Flip's Business Solutions (B2B) vertical. You will be working with the technology that empowers our payment gateway and payment page solutions (money-in and money-out payment capabilities). If you're passionate about building AI-empowered reliable systems, eager to learn, and excited to work on products that impact millions of Indonesians, this is your chance.
About Flip
Flip was founded in 2015 by three friends from Universitas Indonesia — Rafi, Luqman, and Anjar — with the goal of making money transfers fairer for Indonesians. Today, millions of individuals and businesses trust Flip to send trillions of rupiah across banks every year.
We're backed by leading investors such as Sequoia India, Insight Partners, and Insignia, and our mission is simple: to give Indonesians access to one of the most progressive and fairest financial services in the world.
At Flip, we always strive to provide the fairest place for you to work, learn, and grow with talented and fun people in various opportunities to advance your career and get fair rewards. We believe that we have to treat employees, customers, and all stakeholders fairly and respectfully. Fair treatment for employees means we establish clear goals, facilitate our employees to achieve them, and value their contribution to the company with equitable benefits.
Key Responsibilities:
- Design, build, and ship user-facing AI-powered features and products end-to-end, from prototype to production
- Develop and iterate on LLM-based applications, including prompt engineering, retrieval-augmented generation (RAG) pipelines, tool use, and agentic workflows
- Own the full product surface of AI features — UI/UX, API design, latency optimization, and user feedback integration
- Build evaluation frameworks and feedback loops to measure AI output quality, catch regressions, and drive continuous improvement
- Implement robust guardrails, content filtering, and safety mechanisms for production AI systems
- Collaborate closely with product managers, designers, and domain experts to translate user problems into well-scoped AI solutions
- Instrument and monitor AI features in production, including cost tracking, latency, error rates, and user satisfaction metrics
- Contribute to internal tooling and infrastructure that accelerates the team's ability to prototype and ship AI experiences
Requirements:
- 2+ years of experience as a Software Engineer, AI Engineer, or Product Engineer building user-facing products
- Hands-on experience building applications with LLMs (e.g., OpenAI, Claude, Llama), including prompt design, chaining, and function/tool calling
- Familiarity with RAG architectures, embedding models, and vector databases (e.g., Pinecone, FAISS, Weaviate)
- Strong proficiency in Go and Python, with experience building performant backend services
- Experience building and consuming APIs, with a good sense for developer ergonomics and product polish
- Demonstrated ability to ship iteratively — comfortable with ambiguity, rapid prototyping, and learning from user feedback
- Strong product instinct and the ability to make sound trade-offs between scope, quality, and speed
- Excellent communication skills across both technical and non-technical stakeholders
Nice to Have:
- Experience with AI orchestration frameworks (e.g., LangChain, LlamaIndex, or custom agent architectures)
- Familiarity with evaluation and observability tooling for LLM applications (e.g., LangSmith, Braintrust, custom evals)
- Background in fine-tuning or distillation of foundation models
- Experience with real-time or streaming interfaces for AI features
- Knowledge of GCP, AWS, or similar cloud platforms for deploying AI services
- Prior work in fintech, marketplaces, or AI-native companies
- Experience with A/B testing and experimentation frameworks for AI features
