- Design, develop, and deliver full-stack applications using Python and Vue.js.

- Build scalable backend applications, services, and APIs using Python.

- Develop modern, responsive front-end applications using Vue.js.

- Take end-to-end ownership of features and workstreams - from requirements and architecture through development, deployment, and production support.

- Build and maintain integrations across APIs, databases, data pipelines, and enterprise systems.

- Support production systems and contribute to performance investigations, incident resolution, and root cause analysis.

- Collaborate with business stakeholders and engineering teams to translate business requirements into robust technical solutions.

- Contribute to platform modernization and continuous improvement initiatives.

- Participate in code reviews, technical design discussions, architecture decisions, testing, and documentation.

- Exposure to AI/LLM technologies is a plus and may be leveraged for future platform enhancements.

Required Skills & Experience :

- 8 - 14 years of software engineering experience, preferably in financial services, investment management, capital markets, or another enterprise environment.

- Strong hands-on expertise in Python and backend application development.

- Experience building Python-based APIs, microservices, data integrations, and production-grade applications.

- Hands-on experience with Vue.js for modern front-end development.

- Strong full-stack engineering fundamentals, including API design, databases, authentication, application architecture, testing, and deployment.

- Experience integrating applications across APIs, databases, data pipelines, and enterprise systems.

- Proven ability to work independently, drive projects autonomously, and take ownership of deliverables.

- Strong communication skills with the ability to collaborate effectively with technical and business stakeholders.

- Experience working in Agile development environments with a track record of delivering high-quality production software.

Nice to Have :

- Exposure to Generative AI, LLMs, RAG, AI agents, or related technologies.

- Experience with Python AI frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or similar.

- Familiarity with vector databases and AI integration patterns.

- Exposure to financial markets, investment management, trading, or capital markets.

- Experience with cloud platforms (Azure preferred).

- Experience with data warehouse technologies such as Snowflake.

- Familiarity with Java or JVM-based enterprise systems.

- Experience working in large-scale enterprise or multi-vendor environments.