Associate - Full-Stack AI Engineer

New York, Inc.
New York, NY, United States
4 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Compensation
$81,000.0 - $115,500.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Automated Storage and Retrieval Systems Cloud Computing Continuous Integration Cursor Programming Tools Distributed Systems Infrastructure as a Service (IaaS) Python (Programming Language) Knowledge-Based Systems Machine Learning
+16 more
Systems Development Life Cycle Software Tools Search Technologies Software Engineering Google Cloud GitHub Copilot Retrieval-Augmented Generation Large Language Models Claude Code Multi-Agent Systems Generative AI Agentic-AI AI Platforms Kubernetes Infrastructure Automation Frameworks Serverless Computing

Job description

We are building a small, highly technical AI engineering team responsible for creating New York Lifes enterprise AI platform and the first generation of agentic AI solutions that run on it.

As an Associate AI Engineer, you will contribute to both platform and product development while working alongside senior engineers to build production-quality AI systems. You will gain hands-on experience across the AI engineering stack, including cloud infrastructure, platform services, retrieval systems, developer tooling, multi-agent workflows, and enterprise AI applications.

Success in this role requires strong software engineering fundamentals, curiosity around AI technologies, and a passion for building scalable solutions that create business value.

What Youll Do

  • Contribute to the development and enhancement of enterprise AI platform capabilities, including agent lifecycle services, developer tooling, runtime orchestration, workflow management, and governance features.
  • Build and support production-ready AI applications and agentic workflows that leverage retrieval, tool integration, memory, and human-in-the-loop processes.
  • Implement and maintain enterprise knowledge systems using semantic search, vector databases, embeddings, and retrieval-augmented generation (RAG).
  • Develop cloud-native services and infrastructure using Google Cloud Platform, Kubernetes, CI/CD pipelines, and Infrastructure as Code.
  • Support deployment, monitoring, testing, and operational management of AI models and agent-based systems.
  • Collaborate with senior engineers to incorporate responsible AI, security, governance, and compliance controls into solutions.
  • Leverage AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or similar technologies as part of daily development work.

Requirements

Artificial Intelligence (AI), Artificial Intelligence (AI), Financial Services, Leading Edge Technology, Software Engineering, Product Development, Programming Tools, Infrastructure as a Service (IaaS), Scalable System Development, Memory Hardware, * 1-3 years of software engineering experience.

  • Experience with Python and familiarity with modern application development.
  • Exposure to cloud technologies, APIs, CI/CD, testing, and distributed systems concepts.
  • Familiarity with AI/ML concepts, LLMs, RAG, embeddings, or agent frameworks through coursework, projects, internships, or professional experience.
  • Strong problem-solving skills and desire to learn emerging AI technologies.
  • Effective communication and collaboration skills.

Benefits & conditions

Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

About the company

Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Lifes businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes.

Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last., At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.

Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.

As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.

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