Senior Generative AI Engineer
$125.76k - $188.64kCiti Group
Generative AI Engineer At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in-class solutions, driving end-to-end transformation, and integrating cutting-edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations. The Team: Innovating at Scale Our team is a dynamic hub of engineers and innovators dedicated to solving complex business challenges with intelligent solutions. We believe in building robust, scalable products that deliver tangible impact. We foster an environment of continuous learning, rapid iteration, and strong engineering practices. Here, you'll work alongside passionate experts, leverage the latest in AI, and contribute to a culture that values clean code, thoughtful design, and direct, hands-on problem-solving. We're not just adopting AI; we're building the intelligence that powers our enterprise. 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. Your expertise in containers (especially OpenShift), strong Python programming, and advanced LLM/agentic frameworks will be essential as you drive significant operational efficiencies and set new standards for engineering excellence. If you're a builder who thrives on technical challenge, delivering measurable impact, and mentoring others while getting your hands dirty with code, we want to hear from you. As a Staff Generative AI Engineer, you will: Python Engineering
- 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
- 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. You will have access to state-of-the-art AI-assisted development tools like Devin and Copilot to amplify your productivity and creativity.
- 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.
- Recommended Qualifications:
- 6-10 years of relevant experience in Apps Development or systems analysis role
- Extensive experience system analysis and in 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
- 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.
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