
11 - 50 employees
Founded 2018
🤖 Artificial Intelligence
💳 Fintech
☁️ SaaS
🔥 Funding within the last year
💰 Accelerator/Incubator on 2025-12
Artificial Intelligence • Fintech • SaaS
Opplane is a software company that helps organizations unlock the value of data through connectivity, data governance, and generative AI. It focuses on applying AI-driven data solutions to regulated environments, especially banking and fintech, enabling compliance, secure data connectivity, and AI use cases for financial services and enterprises.
Likely ghost job
🕒 January 8
Where this job comes from
Posted on Opplane's careers page, not through a job board
First seen by Remote Rocketship January 8
Still open on Opplane's site. Checked 4 hours ago.

11 - 50 employees
Founded 2018
🤖 Artificial Intelligence
💳 Fintech
☁️ SaaS
🔥 Funding within the last year
💰 Accelerator/Incubator on 2025-12
Artificial Intelligence • Fintech • SaaS
Opplane is a software company that helps organizations unlock the value of data through connectivity, data governance, and generative AI. It focuses on applying AI-driven data solutions to regulated environments, especially banking and fintech, enabling compliance, secure data connectivity, and AI use cases for financial services and enterprises.
• Build and orchestrate LLM agents using Gemini Pro and LangChain • Design, implement, and operate RAG solutions at scale • Integrate with Gemini and Vertex AI using API • Debug and optimize end-to-end LLM pipelines • Deliver production-ready AI services • Participate in solution design and technical decision-making • Continuously evaluate and experiment with new LLM models • Implement AI safety, security, and compliance controls
• 3+ years of experience in AI engineering • Hands-on experience integrating Gemini Pro via API • Strong experience with LangChain or similar frameworks • Advanced understanding of prompt engineering • Proven ability to debug end-to-end LLM systems • Hands-on experience with vector databases • Strong understanding of RAG architectures at scale • Practical experience with Google Cloud Platform • Excellent programming skills in Python, PySpark, or Java
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
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