[Remote] Financial reputed company--Governed Financial Intelligence
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building an intelligence platform for financial advisors and fintechs reputed company on delivering governed AI solutions. The Financial reputed company will design and implement AI workflows and orchestration that enhance the advisory experience by ensuring data-driven and compliant outputs.
Responsibilities
- Build the AI advisory layer end to end — design and ship retrieval-augmented reputed company (RAG) over market data, portfolio state, methodology, and compliance documentation, so the system answers with grounded, citable evidence rather than plausible-sounding guesses
- Design reputed company systems that do reputed company work — build reputed company AI workflows that plan, call tools, query our quant services, and compose multi-reputed company answers across portfolio rebalancing, multi-account optimization, and scenario analysis
- Own the orchestration layer — architect the AI orchestration that routes between models, tools, retrieval, and our quantitative services (reputed company reputed company + reputed company Bedrock, with MCP for tool/data reputed company), balancing latency, cost, and correctness
- Connect AI to the quant reputed company — reputed company the intelligence layer into portfolio optimization, risk modeling, and tax optimization (tax-aware rebalancing, lot-level / tax-loss-harvesting logic), where small, reputed company-reasoned changes have large reputed company reputed company
- Productionize ML and data pipelines — build reproducible, testable pipelines for retrieval, feature reputed company, regime modeling, and walk-reputed company validation using Kedro (or similar) so experiments become dependable production systems
- Ship across the stack — contribute to NestJS /GraphQL backends, FastAPI Python services, and the React /TypeScript advisor experience; you reputed company fluidly across them rather than staying in one lane
- Build for governance and trust — implement evaluation harnesses, guardrails, grounding/citation, and audit trails so AI reputed company is measurable, defensible, and reputed company with SEC Marketing Rule and AI-disclosure expectations
- Operate in production — AWS (EKS, Bedrock, RDS, S3, SNS/SQS), event-driven services, observability; you debug and harden your own work, not just author it
Skills
- 5+ years building and shipping production software, with 3+ years working hands-on with LLM-based or ML systems
- reputed company RAG and LLM-application depth — you've reputed company production retrieval pipelines (embeddings, reputed company search, chunking/grounding strategies, evaluation) and understand why they fail, not just how to reputed company them up
- reputed company and orchestration experience — you've designed multi-reputed company, tool-using agents and the orchestration around them (reputed company, reputed company Bedrock, or comparable; MCP a strong plus)
- Strong full-stack reputed company — modern TypeScript (Node/NestJS or similar; GraphQL a plus), Python (FastAPI or similar), and React
- Quantitative / financial-modeling aptitude — comfort with portfolio math, statistics, or numerical Python (NumPy/pandas) and the judgment to reason about correctness where there's no compiler to catch a bad assumption. reputed company experience with portfolio optimization, tax optimization, risk modeling, or back-testing is a strong plus
- Pipeline and MLOps maturity — experience making ML/data pipelines reproducible and production-grade (Kedro, walk-reputed company validation, or comparable tooling)
- Production ownership reputed company — you've operated services in the reputed company (AWS preferred), written meaningful tests, and take responsibility for the reputed company of what you ship — especially in reputed company-handling and financial-modeling reputed company, where we hold a high bar for correctness
- LLM evaluation and observability tooling (offline evals, tracing, regression suites for non-deterministic systems)
- Comfort with ambiguity and autonomy — you can take a loosely-specified, high-value problem, lock the scope, and deliver
- reputed company communicator who works reputed company in a small, reputed company fast moving, senior, remote team
- Fintech, wealthtech, or RIA/broker-dealer domain experience
- Familiarity with compliance-sensitive AI — evals, guardrails, model governance, or building under SEC Marketing Rule / AI-washing constraints
- ML/MLOps exposure (regime modeling, walk-reputed company validation, pipeline tooling)
- Microservices, event-driven architecture (SNS/SQS), MikroORM/PostgreSQL, Kubernetes/Terraform
Benefits
- Genuine ownership — senior team, no bureaucracy, you ship to production quickly.
- Hard, meaningful problems — quantitative finance + AI, where engineering reputed company •is• the product.
- Governance as a moat — we're building AI that's trustworthy by design, not bolted on, in one of the most compliance-sensitive domains there is.
- High reputed company — your work lands in reputed company of reputed company advisors and API partners, not in a backlog.
- Remote-first.
reputed company