Wealth.com

2 months ago

Senior Software Engineer, AI/ML (Infrastructure & Platform)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Join Wealth.com as a Software Engineer building AI infrastructure and platform layers that power scalable AI applications. You’ll design orchestration platforms, tool SKILLS layers, and agent systems, ensuring reliability, observability, and cost-efficiency while collaborating with product and AI teams in a hybrid NYC setting.

Location: New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build core AI infrastructure including platforms for LLM orchestration, tool execution, and agent workflows
•Develop shared services and abstractions used across multiple AI applications
•Design and implement tools/skills (APIs, workflows, integrations) and interfaces for data retrieval, calculations, document processing, and external actions
•Create reusable orchestration patterns between models and capabilities to support scalable AI systems
•Build frameworks for offline and online evaluation, logging, tracing, and monitoring of AI systems

Pay and Benefits

Salary: USD 200,000 - 235,000 annually

Equity and Bonus:Equity

Perks:Hybrid WorkHealth InsuranceEquity401kParental LeavePaid Leave

Key Requirements

•Degree in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience)
•Proficiency in Python, TypeScript, and C#, with comfort across a polyglot stack
•Strong software engineering fundamentals including system design and distributed systems
•Experience building and operating production AI/ML systems at scale, including LLM integrations or data pipelines
•Experience designing or integrating tool/skill abstractions (e.g., function calling, APIs, or capability layers)

Experience:AI InfrastructureAI/ML systemsDistributed systemsProduction AI

Education:Bachelor's in Computer Science

Skills:OwnershipProblem-solvingCollaborationCommunicationStrategic thinking

Languages:English

Tech Stack:PythonTypeScriptC#LLMPineconeWeaviatePgvectorLangChainLangGraphCloud RunAWSECSLambdaREST APIsRAG

Company Brief

Wealth.com

Operates an online wealth management platform providing digital investment management, financial planning tools, and portfolio services to retail and high-net-worth clients, aiming to simplify investing and personalize financial advice through technology.

Industry: Wealth Management

Website

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Wealth.com

2 months ago

Senior Software Engineer, AI/ML (Infrastructure & Platform)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build core AI infrastructure including platforms for LLM orchestration, tool execution, and agent workflows
•Develop shared services and abstractions used across multiple AI applications
•Design and implement tools/skills (APIs, workflows, integrations) and interfaces for data retrieval, calculations, document processing, and external actions
•Create reusable orchestration patterns between models and capabilities to support scalable AI systems
•Build frameworks for offline and online evaluation, logging, tracing, and monitoring of AI systems

Pay and Benefits

Salary: USD 200,000 - 235,000 annually

Equity and Bonus:Equity

Perks:Hybrid WorkHealth InsuranceEquity401kParental LeavePaid Leave

Key Requirements

•Degree in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience)
•Proficiency in Python, TypeScript, and C#, with comfort across a polyglot stack
•Strong software engineering fundamentals including system design and distributed systems
•Experience building and operating production AI/ML systems at scale, including LLM integrations or data pipelines
•Experience designing or integrating tool/skill abstractions (e.g., function calling, APIs, or capability layers)

Experience:AI InfrastructureAI/ML systemsDistributed systemsProduction AI

Education:Bachelor's in Computer Science

Skills:OwnershipProblem-solvingCollaborationCommunicationStrategic thinking

Languages:English

Tech Stack:PythonTypeScriptC#LLMPineconeWeaviatePgvectorLangChainLangGraphCloud RunAWSECSLambdaREST APIsRAG

Company Brief

Wealth.com

Industry: Wealth Management

Website