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Staff AI Platform Engineer

AlphaSenseNew York, New York, United StatesEngineering
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Salary
Not listed
Job type
Full-time
Posted
14 Oct 2025
Status
Open · checked 7d ago

About this role

AlphaSense is seeking a Staff AI Platform Engineer in New York, New York to scale distributed systems that power advanced AI applications for enterprise customers. This position is ideal for an experienced technical leader who wants to shape the future of market intelligence and guide engineering excellence.

Role Overview

In this capacity, you will transform how AI-powered systems operate at a massive scale by bringing world-class engineering standards to production. Working closely with researchers and machine learning experts, your mission is to ensure that cutting-edge AI innovations run reliably for thousands of enterprise clients. You will enjoy significant autonomy to shape technical architecture while mentoring talented developers and implementing robust operational practices.

Key Responsibilities

Design and implement distributed systems capable of handling thousands of requests per hour for AI agents while maintaining cost-efficiency and high performance.
Establish thorough testing protocols, continuous integration and deployment pipelines, and advanced observability systems to proactively catch issues.
Mentor motivated engineers, sharing vital knowledge on building stable production environments.
Own the technical roadmap for the AI platform, driving architectural choices that secure long-term system health.
Bridge the gap between research and production by collaborating with ML teams to deploy cutting-edge AI features securely.

Requirements

Bring seven or more years of professional experience building and operating distributed systems in live production environments.
Demonstrate a strong history of improving system reliability and driving services toward high uptime.
Possess deep expertise in modern software practices, including microservices, containerization tools like Kubernetes, and infrastructure as code.
Show a background in leading technical initiatives, guiding projects, and mentoring engineering peers.
Exhibit strong coding abilities with the versatility to work across the entire technology stack.
Excel at debugging complex production issues and designing comprehensive system observability.
Practice pragmatic decision-making, balancing the need for speed with high software quality.

Nice to Have

Hands-on experience developing large language model applications, agent frameworks, or specialized AI and machine learning infrastructure.
Familiarity with prompt engineering techniques, retrieval-augmented generation patterns, and vector databases.
Prior background working within high-growth organizations or modern engineering cultures.
Experience dealing with multi-model artificial intelligence systems from major providers like OpenAI, Anthropic, and Google.

Skills and Tools

Kubernetes
LLM
RAG
Distributed Systems
Microservices
Infrastructure as Code
CI/CD Pipelines
System Observability

Salary and Benefits

Base compensation range spans from $203,000 to $304,000 USD, determined by factors such as candidate expertise and experience.
Potential eligibility for equity opportunities.
Access to a generous benefits program.

About the Company

AlphaSense delivers trusted market intelligence and search technology built on proven artificial intelligence to help sophisticated organizations remove uncertainty from critical decisions. Serving over 6,000 enterprise customers, including a majority of the S&P 500, the company aggregates public and private data sets such as corporate filings, equity research, event transcripts, and news. Founded in 2011 and headquartered in New York City, AlphaSense employs over 2,000 people globally with international offices spanning multiple continents.

How to Apply

Candidates interested in this opportunity should visit the official AlphaSense careers page to submit their application securely.

Skills and tech stack

Questions candidates ask

What is the location of the Staff AI Platform Engineer role?

The position is based in New York, New York, United States.

How many years of experience are required for this job?

Candidates must have 7+ years of experience building and operating distributed systems in production.

What is the salary range for this role?

The base compensation range is $203,000 to $304,000 USD, depending on factors like candidate experience and expertise.

What technical skills are highlighted for the position?

Key technical skills include Kubernetes, large language models (LLM), and retrieval-augmented generation (RAG).

Is equity or benefits provided with this position?

Yes, employees may be offered equity alongside a generous benefits program.

Ready to apply?

The application is on the official AlphaSense careers page.

Apply on company site