Marketnode is a digital market infrastructure (DMI) operator backed by Euroclear, HSBC, SGX Group and Temasek. We believe in the power of programmable assets and that traditional financial instruments will be originated, transacted and served better leveraging emerging technologies such as blockchain. Our approach to building market infrastructure is one of partnership with the industry and in 2024 have successfully launched our first market-wide platform for funds, with credit and structured products to follow 2025 onwards.
At Marketnode, Our DMI Suite Covers The Following
- Data services: AI powered structured data and extraction tools
- Funds & transaction management: operating Fundnode, a funds transaction management and settlement platform
- Digital Assets: multi-asset tokenization, record keeping and asset servicing
- Having recently closed our Series A investment with major financial institutions such as HSBC and Euroclear, Marketnode is now well positioned for it's next growth phase.
- We are looking for a Senior AI engineer to join our innovative technology team.
- This role is highly hands-on and focused on building, shipping, and scaling AI-powered systems in production.
- The ideal candidate enjoys working close to the code, data, and real-world problems.
If you are interested in the nexus between fintech and capital markets, we would like to talk to you. The role is based in Bangalore, India.
- Responsibilities Build and maintain AI/ML systems for document processing, information extraction, and unstructured data use cases.
- Design and develop backend AI services using Python, FastAPI, and Pydantic.
- Develop and orchestrate data and ML workflows using Prefect.
- Write clean, well-tested, and production-ready code across AI, data, and backend components.
- Collaborate closely with engineers, QA, and product to deliver features end-to-end.
- Own technical decisions, system quality, and operational reliability.
- Participate in code reviews, experimentation, and continuous improvement
Qualifications
- Strong experience building AI/ML systems in production environments.
- Solid Python skills with experience using FastAPI and Pydantic.
- Experience working with relational databases, especially PostgreSQL.
- Hands-on experience with NLP, Generative AI, or unstructured data processing.
- Good understanding of testing, performance, and maintainable system design.
Nice to have
- Experience with React.js or collaborating on frontend features.
- Experience with workflow orchestration tools like Prefect or Airflow.
- Cloud experience (Azure, AWS or GCP).
- Familiarity with MLOps, monitoring, or model lifecycle management.
