Senior Specialist - Data Sciences

Required Skills Experience

Languages Strong Python asyncawait typing FastAPI or similar working proficiency in TypeScript

Agentic AI Practical experience with LangChainLangGraph or comparable agent frameworks toolcalling ReActstyle agents memorycheckpointing multitool orchestration and error handling

MCP Model Context Protocol Experience building or consuming MCP serverstools to bridge LLMs with real data sources

LLM platforms Experience with at least one hosted LLM provider AWS Bedrock Azure OpenAI OpenAI API etc including prompt design systemprompttoolselection tuning and costlatency tradeoffs

APIs backend REST API design authentication OAuth2OIDCJWT requestscoped resource loading structured logging eg Serilogstructlog and defensive error handling in multistepasync pipelines

Frontend integration React or Angular componentlevel data fetchingcaching TanStack Query or equivalent state management and debugging UIcachestaleness issues

Data platforms Exposure to distributed query engines TrinoStarburst or equivalent enterprise reportingdatawarehouse APIs

DevOps Docker CICD pipeline authoring GitHub Actions andor Azure DevOps Pipelines cloud deployment AWS preferred Lambda ECS IAM API Gateway environmentconfigsecrets management monitoring ing

Testing xUnitpytestJest or equivalents with meaningful coverage of both backend and agenttool logic

Debugging discipline Demonstrated ability to systematically trace an issue endtoend UI API agent tool data source rather than guessing and to say clearly when a requested feature has no underlying data source rather than fabricating one

Nice to Have

Experience with microfrontend architectures SingleSPA Module Federation

Experience with NET 8 ASPNET Corebased BFF services

Infrastructureascode Terraform experience

Familiarity with financialinvestmentreporting domains positions trades contracts principalcash flows a plus but not required