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AI Engineer (Mid-Senior Level)

External
banyaninfrastructure logoBanyaninfrastructure · San Francisco
$180K–$215K/yrFull-timeOn-site2mo ago30+ days old, may be filled
AgileAWSFinancial AnalysisGenerative AIJavaLeadership
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Responsibilities

  • Design and implement AI-powered services using modern paradigms like Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Reasoning and Acting (ReAct), and agentic frameworks to automate complex financial analysis and due diligence workflows.
  • Develop secure, scalable, and maintainable APIs (primarily Python; Java experience also valued).
  • Collaborate closely with the existing two-person AI pod to explore, prototype, and productize AI solutions.
  • Integrate with LLM APIs (OpenAI, Gemini) and vector databases to enhance automation initiatives.
  • Partner cross-functionally with Product, Customer Success, and Sales teams to identify opportunities for AI assistance and build AI expertise across the company.
  • Advocate for and apply healthy coding practices and Agile methodologies.
  • Participate actively in code reviews, pair programming, and knowledge development to implement new code and debug existing systems.
  • Provide 2nd tier production support and proactively identify ways to improve our systems.
  • Build financial and cleantech subject matter expertise and stay abreast of new AI technologies and industry trends to inform engineering decisions.

Requirements

  • Strong programming experience in Python or Java; comfort in learning the other.
  • Demonstrated experience with LLMs, AI APIs, or applied ML workflows.
  • Solid understanding of REST APIs, testing frameworks, and cloud deployment (AWS preferred).
  • Provide thought leadership that challenges existing processes and delivers clear, structured decision-making frameworks to evaluate implementation tradeoffs.
  • Curiosity , pragmatism, and ability to move from prototype to production.
  • Clear communicator who enjoys solving problems collaboratively .
  • Genuine enthusiasm for Banyan's mission and a willingness to help and mentor other team members.
  • Bachelor's degree required.
  • Bonus skills:
  • Experience with Postgres or other modern relational databases.
  • Familiarity with Vue.js or modern front-end frameworks.
  • Prior experience in financial services or FinTech .
  • Exposure to data pipelines, document parsing, or retrieval systems.
  • How we'll support your growth and success:
  • This is more than a job-it's a chance to build expertise at the intersection of fintech and climate tech.
  • Direct exposure working closely with founders, executives, and cross-functional teammates.
  • Develop cutting-edge industry expertise in fintech, capital markets, and clean infrastructure deployment.
  • You will be working on a meaningful product that is actively accelerating clean infrastructure deployment around the world.
  • Learn from and with a diverse team of smart, passionate people.
  • Reporting & Location: This role reports to VP, Engineering and is a hybrid position based in our San Francisco office (3 days in office/2 remote).
  • Compensation: $180,000 - $215,000 base salary, commensurate with experience, and meaningful equity.
  • Visa Sponsorship: At this time, Banyan is unable to provide H1B visa sponsorship for this position.

Benefits

Health insuranceRemote work optionsFlexible scheduleEquity / stock optionsPerformance bonusParental leave

Additional Information

Banyan Infrastructure is on a mission to unlock the trillions of dollars needed to finance the renewable infrastructure revolution. We are a dynamic fintech company providing a cutting-edge software solution that empowers banks, funds, and other financial institutions globally to efficiently invest in sustainable projects and achieve their net-zero targets. Join us in building the future of green finance. Why This Role Matters You'll join a small, high-impact team expanding Banyan's core platform with applied AI - including work in document parsing, data extraction, generative AI, and conversational interaction with complex financial and operational data. This is a foundational role and a rare chance to deeply shape and define how applied AI transforms the financing of sustainable infrastructure.


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