Andiamo
Full Stack Engineer - Interactive AI Deep-Research Platform
Andiamo, New York, New York, us, 10261
Overview
Full-Stack Software Engineer — AI-Native Research Platform (Finance). Role: Help build the core platform behind an AI-native research experience used by professional investors and analysts. As a Full-Stack Software Engineer, you’ll own the entire user journey—from intuitive, high-fidelity React interfaces to resilient backend services that process billions of data points in real time. Your work will turn complex financial questions into actionable, trustworthy insights. Responsibilities
Frontend Excellence: Build TypeScript + React applications that financial professionals rely on for deep research—rich data visualizations, AI-assisted insights, and streamlined integration flows using modern design systems and utility-first CSS. Backend Systems & APIs: Design and implement services that orchestrate AI workflows, move large datasets, and expose clean, well-versioned APIs. End-to-End Features: Own features from concept to production—components, services, schemas, queries, tests, and observability. Platform Architecture: Design for scale: caching layers, pagination and indexing strategies, schema evolution, and microservice boundaries that hold up under heavy read/write traffic. AI Integration: Embed language models and retrieval pipelines into product flows with evaluation harnesses, safety guardrails, and cost/latency budgets. Enterprise Integrations: Build robust connectors to institutional data sources and research tools; implement secure auth patterns and data governance controls. Performance Engineering: Profile and optimize across the stack—bundle size, rendering, API throughput, query plans, and memory usage. Product Collaboration: Translate user needs into technical architecture; iterate via user feedback, A/B tests, and clear success metrics. Production Excellence: Ship with CI/CD, automated testing, feature flags, and strong telemetry; own reliability in production. Your First 90 Days
Ship a flagship research feature end-to-end (frontend + backend) to production users. Integrate an AI-powered workflow with measurable wins in analyst speed or accuracy. Reduce a critical latency or cost metric through targeted performance work. Document a “paved road” pattern (components, API contracts, metrics) others can reuse. What We’re Looking For (Must-Haves)
4+ years of full-stack development experience and a record of shipping production systems at scale. Frontend: Advanced React + TypeScript; state management (e.g., Redux, Zustand), testing (Jest or Vitest), and modern build tools. Backend: Proficiency in Node.js and/or Python; strong API design, data modeling (SQL/NoSQL), and cloud experience. Architecture: Comfort designing complete application topologies—from database schema and indexing to component hierarchies and API gateways. Enterprise Fundamentals: Practical experience with authentication/authorization, roles/permissions, and secure data handling. Data-Driven UX: Building interfaces over large datasets, integrating analytics/telemetry, and using data to drive iteration. Excellent technical communication and the ability to collaborate across product, design, and engineering. Strong Plus
Experience building applications for financial users, or familiarity with institutional research workflows and data platforms. Background in large-scale data processing, ELT/ETL, or analytics platforms. Exposure to Rust for performance-critical services. Startup experience or notable projects built from scratch with end-to-end ownership. How We Work
Forward-Deployed with Product DNA: Solve real user problems today; generalize the solution into the platform tomorrow. Quality by default: Testing, observability, accessibility, and security are part of “done.” Evidence-led iteration: Pair product intuition with metrics, experiments, and real user feedback. Mentorship & Growth
Weekly 1:1s and deep-dive architectural reviews with senior engineers experienced in enterprise-scale distributed systems. Guidance on agentic/AI workflow design and performance engineering. Clear path to technical leadership and ownership of high-leverage subsystems. “Learn by shipping” culture—production features powering real financial research. Representative Stack
Frontend: React, TypeScript, modern design systems, utility-first CSS Backend: Node.js, Python, Rust; PostgreSQL, Redis AI/ML: Multi-provider LLMs, embeddings, vector databases Infra: AWS, Docker, Kubernetes, Temporal, Kafka, Airflow Ops: GitHub Actions, infrastructure as code, metrics/logs/traces Why You’ll Love It
Build foundational technology where AI meets finance—and see your work used by expert researchers. Shape product direction while practicing modern engineering at scale. Join a pragmatic, collaborative team that values clarity, velocity, and craftsmanship. About Andiamo
Andiamo is a globally recognized staffing and consulting firm specializing in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies. For over 20 years, we’ve maintained the status of tier-one vendor for firms such as Amazon, Bloomberg, Palantir, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
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Full-Stack Software Engineer — AI-Native Research Platform (Finance). Role: Help build the core platform behind an AI-native research experience used by professional investors and analysts. As a Full-Stack Software Engineer, you’ll own the entire user journey—from intuitive, high-fidelity React interfaces to resilient backend services that process billions of data points in real time. Your work will turn complex financial questions into actionable, trustworthy insights. Responsibilities
Frontend Excellence: Build TypeScript + React applications that financial professionals rely on for deep research—rich data visualizations, AI-assisted insights, and streamlined integration flows using modern design systems and utility-first CSS. Backend Systems & APIs: Design and implement services that orchestrate AI workflows, move large datasets, and expose clean, well-versioned APIs. End-to-End Features: Own features from concept to production—components, services, schemas, queries, tests, and observability. Platform Architecture: Design for scale: caching layers, pagination and indexing strategies, schema evolution, and microservice boundaries that hold up under heavy read/write traffic. AI Integration: Embed language models and retrieval pipelines into product flows with evaluation harnesses, safety guardrails, and cost/latency budgets. Enterprise Integrations: Build robust connectors to institutional data sources and research tools; implement secure auth patterns and data governance controls. Performance Engineering: Profile and optimize across the stack—bundle size, rendering, API throughput, query plans, and memory usage. Product Collaboration: Translate user needs into technical architecture; iterate via user feedback, A/B tests, and clear success metrics. Production Excellence: Ship with CI/CD, automated testing, feature flags, and strong telemetry; own reliability in production. Your First 90 Days
Ship a flagship research feature end-to-end (frontend + backend) to production users. Integrate an AI-powered workflow with measurable wins in analyst speed or accuracy. Reduce a critical latency or cost metric through targeted performance work. Document a “paved road” pattern (components, API contracts, metrics) others can reuse. What We’re Looking For (Must-Haves)
4+ years of full-stack development experience and a record of shipping production systems at scale. Frontend: Advanced React + TypeScript; state management (e.g., Redux, Zustand), testing (Jest or Vitest), and modern build tools. Backend: Proficiency in Node.js and/or Python; strong API design, data modeling (SQL/NoSQL), and cloud experience. Architecture: Comfort designing complete application topologies—from database schema and indexing to component hierarchies and API gateways. Enterprise Fundamentals: Practical experience with authentication/authorization, roles/permissions, and secure data handling. Data-Driven UX: Building interfaces over large datasets, integrating analytics/telemetry, and using data to drive iteration. Excellent technical communication and the ability to collaborate across product, design, and engineering. Strong Plus
Experience building applications for financial users, or familiarity with institutional research workflows and data platforms. Background in large-scale data processing, ELT/ETL, or analytics platforms. Exposure to Rust for performance-critical services. Startup experience or notable projects built from scratch with end-to-end ownership. How We Work
Forward-Deployed with Product DNA: Solve real user problems today; generalize the solution into the platform tomorrow. Quality by default: Testing, observability, accessibility, and security are part of “done.” Evidence-led iteration: Pair product intuition with metrics, experiments, and real user feedback. Mentorship & Growth
Weekly 1:1s and deep-dive architectural reviews with senior engineers experienced in enterprise-scale distributed systems. Guidance on agentic/AI workflow design and performance engineering. Clear path to technical leadership and ownership of high-leverage subsystems. “Learn by shipping” culture—production features powering real financial research. Representative Stack
Frontend: React, TypeScript, modern design systems, utility-first CSS Backend: Node.js, Python, Rust; PostgreSQL, Redis AI/ML: Multi-provider LLMs, embeddings, vector databases Infra: AWS, Docker, Kubernetes, Temporal, Kafka, Airflow Ops: GitHub Actions, infrastructure as code, metrics/logs/traces Why You’ll Love It
Build foundational technology where AI meets finance—and see your work used by expert researchers. Shape product direction while practicing modern engineering at scale. Join a pragmatic, collaborative team that values clarity, velocity, and craftsmanship. About Andiamo
Andiamo is a globally recognized staffing and consulting firm specializing in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies. For over 20 years, we’ve maintained the status of tier-one vendor for firms such as Amazon, Bloomberg, Palantir, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
#J-18808-Ljbffr