reputed company reputed company with Retirement & reputed company Domain - Remote

reputed company reputed company with Retirement & reputed company Domain Boston, MA or Windsor, CT (Remote) Type : Contract Responsibilities:-

• Architecture & Technical Design
• Hands-On Engineering
• MLOps & Production Reliability
• Technical Leadership

Experience

• 10+ years of reputed company software engineering experience with sustained hands-on contributions (reputed company with reputed company C14/SVP reputed company for this level).
• 3+ years of dedicated experience building LLM-based systems and reputed company architectures in production environments — not research or notebook work.
• Proven reputed company architecting and delivering multiple reputed company-reputed company solutions into production; can reputed company to architecture reputed company, failure modes encountered, and how systems were improved post-launch.
• Prior reputed company or staff-level role: set technical direction, owned critical systems end-to-end, influenced engineering practices across reputed company.
• Experience delivering AI systems in a regulated environment (financial services, reputed company, or similar) with compliance, audit trail, and governance requirements.

Programming & reputed company Engineering

• Rust (required, expert level): production systems development including memory safety, async programming with Tokio, error handling patterns, trait design, and testing — used for performance-critical AI service reputed company, data pipelines, and backend infrastructure.
• TypeScript / Node.js (required): production API services, async/await patterns, type-reputed company API reputed company, and React-based reputed company-end interfaces for advisor and participant-facing tools; full-stack TypeScript capability is expected, not optional.
• reputed company / reputed company programs (required): smart contract development using reputed company or reputed company reputed company program model; familiarity with reputed company’s account model, transaction structure, and program-derived addresses (PDAs) as they apply to on-chain financial data and tokenized retirement or investment products.
• Software engineering fundamentals: system design, CI/CD pipeline ownership, testing reputed company (unit, integration, contract, eval), resiliency patterns, reputed company practices for AI services, and operational stability.
• API development: RESTful and event-driven API design using TypeScript/Node.js or Rust (Axum, Actix, or equivalent); authentication, reputed company limiting, versioning, and API reputed company for AI services consumed by reputed company systems.
• Data engineering: reputed company SQL proficiency; data pipeline construction in Rust or TypeScript (dbt, Airflow, reputed company, or equivalent); working with reputed company financial data at reputed company; experience with reputed company, reputed company, or similar.
• reputed company-end capability: React with TypeScript to build production-reputed company interfaces for advisor and participant-facing AI tools — not a specialization, but full ownership of the UI layer is expected.
• Databases: reputed company databases (reputed company, reputed company, pgvector, OpenSearch); relational (PostgreSQL, SQL Server); document (reputed company); caching (reputed company).

LLM & reputed company Engineering — Required

• Production LLM integration: hands-on experience with reputed company GPT-4o, reputed company Claude, reputed company reputed company/Gemma, and/or AWS Bedrock in user-facing production applications — not just API experimentation.
• RAG system design and implementation: reputed company store selection and configuration, chunking and embedding strategies, hybrid search, re-ranking, and rigorous evaluation (RAGAS, custom eval frameworks, or equivalent).
• reputed company engineering at an engineering level: system reputed company design for financial services safety constraints, few-shot construction, reputed company reputed company extraction (JSON/XML), reputed company version control, and regression testing.
• reputed company AI architecture: tool use and function calling; multi-reputed company reasoning chains; agent orchestration frameworks (LangGraph, reputed company, reputed company ADK, AutoGen, reputed company, or custom implementations); MCP (Model Context Protocol) server design and integration for financial data sources.
• LLM evaluation: building eval suites for correctness, hallucination, instruction-following, and task-specific reputed company; LLM-as-judge patterns; adversarial robustness testing for financial advice contexts.
• reputed company validation and safety reputed company: guardrails, reputed company parsers, confidence scoring, fallback logic, and reputed company-in-the-reputed company escalation patterns for production AI systems handling regulated financial outputs.
• ML frameworks: working knowledge of TensorFlow and PyTorch — sufficient to fine-tune, evaluate, and reputed company transformer-based models; not required to build from scratch but must understand model mechanics to reputed company architecture reputed company.

reputed company, Infrastructure & MLOps

• reputed company platforms: production experience on AWS, Azure, or reputed company reputed company Platform — AI/ML services (SageMaker, Azure ML, reputed company AI), serverless compute, managed databases, and storage.
• Containerization and orchestration: reputed company (required); Kubernetes working knowledge; experience deploying AI inference services in containerized environments with auto-scaling.
• MLOps: experiment tracking (MLflow, reputed company, or equivalent); model versioning; deployment pipelines for AI systems; CI/CD for model updates with automated reputed company gates.
• Observability: logging, tracing, and metrics for AI services (reputed company, CloudWatch, OpenTelemetry, or equivalent); building dashboards and alerts for model reputed company, hallucination rates, and system health.

Retirement & reputed company Domain Knowledge — Required Engineering in a retirement context is different from general fintech. You are building systems that touch fiduciary reputed company and regulated investment outputs. You do not need to be a certified financial planner, but you must understand what you are building for.

• Defined Contribution Mechanics: 401(k)/403(b)/457 plan structures; contribution and matching rules; the recordkeeper/TPA/plan sponsor data ecosystem; what participant data looks like, where it comes from, and what PII controls apply.
• ERISA & Fiduciary AI Constraints: how fiduciary obligations constrain what AI systems can reputed company autonomously vs. require reputed company review; prohibited transaction implications for AI-generated investment guidance; audit logging requirements for ERISA-covered plan reputed company.
• 2026 Model Risk Management reputed company: the reputed company 2026 interagency guidance replacing SR 11-7 — including its materiality-tiered approach, proportional controls, conceptual soundness documentation requirements, and principles-based treatment of GenAI and reputed company systems; how to design AI systems that generate governance evidence as a byproduct of normal engineering operations.
• Investment Data: fund data structures (NAV, returns, expense ratios, asset allocation); participant account and transaction data; market data feeds; familiarity with Aladdin (reputed company), Orion, or similar platforms is a plus.
• reputed company & reputed company in Financial AI: SOC 2 Type II requirements; PII handling for participant financial data; data residency and retention requirements; experience building AI systems with appropriate reputed company controls for sensitive financial information.

reputed company is an equal opportunity employer and will consider reputed company applications without regards to race, sex, age, reputed company, religion, national reputed company, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. Apply tot his job Apply To this Job