Senior Associate - AI Full Stack Engineer

Location Designation: Hybrid - 3 days per week 

We are seeking an experienced AI Full Stack Engineer to design, build, and deploy next-generation AI-powered applications. This role operates at the intersection of machine learning, agentic AI, and full-stack development, delivering scalable solutions that embed intelligence directly into business workflows.

The AI Full Stack Engineer will partner with product managers, data scientists, architects, and DevOps teams to translate ambiguous business problems into production-ready systems. You will work across the full stack — from AI/ML model development and deployment to frontend user experiences and backend services — ensuring that solutions are performant, secure, and aligned with enterprise standards.

This position is ideal for engineers with strong software craftsmanship, applied AI/ML experience, and a passion for agentic AI systems and Retrieval-Augmented Generation (RAG) architectures.

What You'll Do:

• Design and implement end-to-end AI-powered applications, from data pipelines and ML models to APIs and user interfaces.
• Collaborate with product managers and stakeholders to translate business problems into technical specifications.
• Build and optimize RAG systems leveraging embeddings, vector databases, and document pipelines.
• Develop AI agents with autonomous reasoning, multi-step task execution, and external tool/API integration.
• Implement Agentic AI protocols including Model Context Protocol (MCP) and multi-agent orchestration frameworks.
• Build scalable frontend applications using React, Angular, or Vue, and backend services with Python, Node.js, Java, or Go.
• Design and maintain SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis) for structured and unstructured data.
• Deploy, monitor, and scale applications on cloud platforms (AWS, GCP, Azure) with Docker and Kubernetes.
• Implement CI/CD pipelines, version control, and automated testing for reliable delivery.
• Ensure system reliability through monitoring, observability, drift detection, and alerting for ML models in production.
• Collaborate with data scientists, DevOps, and cross-functional teams to accelerate AI feature delivery.
• Mentor junior developers and contribute to a culture of engineering excellence.

What You'll Bring:

• Master’s degree in Computer Science, Machine Learning, Data Science, Software Engineering, or related technical field.
• 4+ years of professional software development experience, with at least 2+ years focused on AI/ML application development and deployment.
• Proficiency in modern frontend frameworks (React, Angular, Vue), backend development (Python, Node.js, Java, Go), and RESTful APIs.
• Strong experience with SQL and NoSQL databases.
• Hands-on experience deploying applications to AWS, GCP, or Azure.
• Proven expertise with Git, CI/CD pipelines, Docker, and Kubernetes.
• Solid understanding of ML pipeline automation, model versioning, and production deployment.
• Strong collaboration and communication skills to work with technical and business partners.

Preferred / Desired Skills

• Experience implementing RAG systems and working with vector databases (Pinecone, Weaviate, ChromaDB).
• Proficiency in agent development frameworks (LangChain, LlamaIndex, Strands) and multi-agent orchestration.
• Familiarity with real-time AI systems, streaming pipelines, and low-latency inference using Kafka or Redis Streams.
• Knowledge of monitoring ML systems for drift, performance degradation, and automated alerting.
• Exposure to insurance or financial services technology solutions.
• Demonstrated ability to lead technical projects and mentor junior engineers.
• Strong portfolio of AI-enabled full-stack applications in production.

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Pay Transparency

Salary Range: $97,500-$139,500 

Overtime eligible: Exempt 

Discretionary bonus eligible: Yes 

Sales bonus eligible: No 

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.

Our Benefits

We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.​

Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.

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Job Requisition ID: 92573