Senior Generative AI Engineer

About the role

We are seeking an exceptional Staff Generative AI Engineer to join our team. This is a critical, deeply hands-on role for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deploying real-world, commercial production systems, not just proofs-of-concept. This is an Individual Contributor (IC) role with no direct people management responsibilities.

Responsibilities

• Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes, driving efficiency and reducing operational risk at scale.
• Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python. Your code will be clean, performant, scalable, and deployed directly into commercial production environments, solving real business problems.
• Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments.
• Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery, ensuring the highest quality for our mission-critical systems running in production.
• Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks. Contribute to both applied engineering and research initiatives within the domain.
• Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritizing rapid delivery, iterative development, and adaptability. Focus on delivering measurable business value and learning quickly from prototypes and deployments, always with a path to production in mind.
• Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions, proactively assessing and mitigating risks in line with organizational and regulatory standards.

Requirements

• 6+ years of software engineering experience with expert-level Python
• Strong grasp of clean code, data structures, algorithms, and distributed systems
• Hands-on experience with LLMs, RAG, and transformer architectures
• Proficiency in frameworks such as LangChain, LangGraph, and Google ADK
• Ability to build intelligent agents that automate complex enterprise workflows
• Ability to design data layers optimized for AI/ML and RAG workloads
• Proven track record deploying and managing large-scale AI/ML systems in production
• Strong CI/CD and software engineering best practices
• 6-10 years of relevant experience in Apps Development or systems analysis role
• Extensive experience in system analysis and programming of software applications
• Experience in managing and implementing successful projects
• Subject Matter Expert (SME) in at least one area of Applications Development (Python)
• Ability to adjust priorities quickly as circumstances dictate
• Demonstrated leadership and project management skills
• Consistently demonstrates clear and concise written and verbal communication

Why You'll Love Working Here

• Unprecedented Impact & Visibility: Contribute to critical, high-visibility projects that are transforming a global enterprise, working on firm-wide initiatives that directly influence our operational future.
• Cutting-Edge Technology: Work with the latest Generative AI models, agentic frameworks, and cloud-native technologies, enhanced by access to AI-assisted development tools like Devin and Copilot.
• Growth & Development: A culture of continuous learning, mentorship, and opportunities to lead and innovate. Benefit from extensive learning resources including Udemy for Business and Pluralsight.
• Collaborative Environment: Join a highly skilled, passionate team that values collaboration, intellectual curiosity, and shared success.
• Flexible Work Environment: Embrace a hybrid working model, balancing productive in-office collaboration (3 days) with the flexibility of working from home (up to 2 days).
• Global Scale: Build solutions that operate at a massive scale, impacting users and operations worldwide.

Primary Location: New York, New York, United States