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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing LLM-powered agents and production-quality systems, with a strong focus on risk identification, data analytics, and CI/CD practices. Proven ability to collaborate with cross-functional teams and lead complex engineering projects in a high-stakes environment.
Highest-signal resume keywords
LLM-Powered Agent DevelopmentPython Development (8+ Years)SQL and Data Analytics LibrariesCI/CD and Cloud Infrastructure (AWS)Cyber Threat Research and Detection Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLData Analytics (Pandas, Polars, NumPy)LLM DevelopmentBacktestingData Pipeline DevelopmentQuality ControlIncident DebuggingModel SelectionData Quality Validation
Soft Skills
CollaborationLeadershipProblem-Solving
Tools & Technologies
LangGraphLangChainOpenSearch/ElasticsearchAthena/PrestoCI/CD Frameworks
Industry Keywords
Risk AnalysisThreat ModelingFraud DetectionAdversary ProfilingData-Driven Risk Analysis
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsElasticSearchNumpyPandasPythonSQL
About the role
Key responsibilities & impact- Develop solutions for high-fidelity risk identification in customer data
- Translate risk identification methods into agent logic
- Ensure quality across risk analysis, explanations, and recommendations
- Collaborate with threat-research teams to understand data, threats, and security heuristics
- Identify and solve data requirements for analysis
- Develop and collaborate on data pipelines, enrichments, and aggregations with data engineering teams
- Apply backtesting, precision/recall balancing, tuning, and quality control to threat detection
- Deploy and monitor solutions in production within the CI/CD framework
- Report to the Manager AI Platform and Data Science in the AI Platform and Data Science department
Requirements
What you’ll need- Experience building LLM-powered agents in production, including tool and function calling, prompt and context engineering, multi-step orchestration frameworks (LangGraph, LangChain, or equivalent), and evaluation of non-deterministic output against ground truth
- 8+ years of professional Python development
- Ability to design and maintain production-quality systems with validated inputs, data contracts, comprehensive unit tests, and integration tests
- Hands-on expertise with SQL and Python data analytics libraries such as pandas, Polars, and NumPy
- Production reliability experience with CI/CD, containerization, structured logging and metrics, observability and alerting, on-call participation, incident debugging in live distributed systems, and cloud/infrastructure-as-code in AWS
- Sr. Staff level ownership and leadership of emergent requirements, architecture, and complex engineering projects
- Preferred: production AI or ML systems experience balancing cost, latency, and accuracy, including model selection, routing, and regression testing
- Preferred: cyber threat research, threat modeling, threat hunting, detection engineering, data-driven risk analysis, fraud detection, adversary profiling and targeting, actuarial risk, or collaboration with risk analysis teams
- Preferred: data engineering experience with large-volume event-data pipelines, SQL, OpenSearch/Elasticsearch, Athena/Presto, schema evolution, backfills, and data quality validation
Benefits
Comp & perks- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks
- Inclusive benefits for employees and their families
- Reasonable support/accommodations in the recruiting process