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Software Engineer

AIQ Markets
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About AIQ Markets

AIQ Markets is building the AI copilot for the U.S. corporate bond market. Our platform empowers traders, portfolio managers, and credit analysts with real-time intelligence, natural-language search across bond inventories, and AI-driven trade recommendations. We sit at the intersection of cutting-edge AI and one of the world’s largest asset classes—transforming how fixed-income professionals discover, analyze, and execute trades.

The Role

As a Software Engineer, you will work directly alongside our engineering team to build AI-native features that ship to production. You will contribute to the core product from day one. You’ll design, build, and deploy features that leverage large language models, retrieval-augmented generation, and real-time data pipelines to help bond market professionals make faster, smarter decisions.

What You’ll Do

  • Build and improve AI copilot features, including natural-language query interfaces, retrieval-augmented generation pipelines, and intelligent trade suggestion engines
  • Design and implement production APIs and microservices that serve real-time bond market intelligence to front-end applications
  • Collaborate with product, design, and quantitative research teams to translate market workflows into intuitive software experiences
  • Develop and optimize prompt engineering strategies, embedding pipelines, and vector search infrastructure
  • Write clean, well-tested code and participate in code reviews with experienced engineers
  • Own a meaningful project end-to-end—from scoping and architecture through deployment and monitoring

What We’re Looking For

  • Graduating in 2026
  • Strong fundamentals in data structures, algorithms, and systems design
  • Proficiency in at least one modern language: Python, TypeScript, Go, or Rust
  • Genuine curiosity about AI/ML and hands-on experience with LLMs, prompt engineering, or building AI-powered applications
  • Comfort working across the stack—from database queries to front-end components
  • A builder’s mindset: you ship fast, learn from feedback, and iterate

Nice to Have

  • Experience with financial markets, fixed income, or fintech products
  • Familiarity with vector databases (Pinecone, Weaviate, pgvector), embedding models, or RAG architectures
  • Contributions to open-source AI/ML projects or personal projects using LLM APIs
  • Experience with cloud infrastructure (AWS, GCP) and containerized deployments (Docker, Kubernetes)

What We Offer

  • $85,000/year + equity
  • Direct mentorship from senior engineers and leadership
  • Exposure to production AI systems operating at the intersection of finance and technology
  • A collaborative, fast-paced environment