Applied AI/ML Engineer

Confido
New York
Workplace: OnsiteFull timeUSD 200,000 - 250,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: mastersSkills: ["Product sense","Evaluation","Monitoring","Data quality focus"]

Build and deploy the core AI that powers document understanding, forecasting, and agentic workflows across messy, inconsistent financial data. Own problems end to end—from research and prototyping to production and evaluation—using robust monitoring and eval datasets to keep probabilistic systems reliable. You’ll design LLM systems for typed validation, implement retrieval-and-reasoning workflows with guardrails, and improve forecasting via classical and gradient-boosted modeling with rolling-origin backtesting.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Confido
Confido
2 days ago

Applied AI/ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Build and deploy the core AI that powers document understanding, forecasting, and agentic workflows across messy, inconsistent financial data. Own problems end to end—from research and prototyping to production and evaluation—using robust monitoring and eval datasets to keep probabilistic systems reliable. You’ll design LLM systems for typed validation, implement retrieval-and-reasoning workflows with guardrails, and improve forecasting via classical and gradient-boosted modeling with rolling-origin backtesting.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build LLM systems that convert complex, inconsistent financial documents into clean, typed, validated data.
  • •Design agentic workflows that retrieve and reason over fragmented enterprise systems, with evaluation harnesses and production guardrails.
  • •Build and improve demand forecasting across thousands of intermittent series using classical time-series and gradient-boosted models with rolling-origin backtesting.
  • •Wrangle messy real-world data, including baselining, outlier/anomaly detection, entity reconciliation, and ingestion across heterogeneous sources.
  • •Own success measurement via evaluation datasets, benchmarks, and monitoring for systems without a single correct answer.

Pay and Benefits

Salary: USD 200,000 - 250,000 annually
Equity and Bonus:Equity
Perks:EquityHealth InsuranceDentalVisionParental LeavePaid Leave401kRelocationStipend

Key Requirements

  • •3+ years of applied AI/ML with systems you’ve taken to production (not just prototypes).
  • •Depth in at least one area (and fluency across several): time-series/forecasting and statistical modeling; LLM and agentic systems; large-scale messy-data engineering.
  • •Build evaluation and monitoring, know which metrics to trust, and avoid leakage and train/serve skew.
  • •Strong product sense—turn AI capability into real outcomes and know when simpler approaches win.
  • •Masters degree in STEM.
Experience:3+ years
Education:Master's in STEM
Skills:Product senseEvaluationMonitoringData quality focus
Tech Stack:LLM systemsAgentic workflowsRAGRetrieval systemsTime-seriesForecastingStatistical modelingGradient-boosted modelsRolling-origin backtestingProphetARIMAAnomaly detectionEntity reconciliationLLM evaluationGuardrails

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Confido
Provides custom software development, cloud solutions, and IT consulting services to help businesses build scalable web and mobile applications, implement cloud infrastructure, and improve security and operational efficiency through tailored technology solutions.
Industry: Professional Services
Website