- 7+ years of hands-on software engineering experience delivering commercial software products.
- Demonstrated ability to lead, influence, and mentor senior software engineers.
- 5+ years of experience working with big data—querying, analyzing, and managing large scale datasets.
- Proficiency in multiple programming languages, including at least one modern front end framework (Angular, React, or Vue), and languages such as Python, Java, JavaScript, Ruby, Go, C/C++.
- Strong cloud experience with AWS, Azure, or GCP, including handling sensitive and regulated data.
- Hands on experience with LLM frameworks and services (e.g., OpenAI, AWS Bedrock/SageMaker, Hugging Face, LangChain/LangGraph).
- Deep understanding of RAG techniques, embedding models, and vector databases.
- Familiarity with LLM deployment, prompt engineering, fine tuning, evaluation, and guardrail techniques.
- Strong understanding of responsible AI, privacy, and security considerations for production AI systems.
- Act as a hands on technical leader within an Agile environment, promoting engineering best practices and effective collaboration.
- Contribute thought leadership to solution design and architectural discussions, ensuring alignment with enterprise architecture standards.
- Design, develop, and implement modern, architecturally sound software components, tools, and applications to support strategic business objectives.
- Serve as a peer leader and mentor, fostering a culture of innovation, accountability, and technical excellence.
Good to have experience in financial services, supporting consumer banking, wealth management, trading, compliance, or portfolio platforms
