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We are seeking an exceptional Principal Generative AI Engineer to join our team as a highly influential Individual Contributor. This is a pivotal, deeply hands-on role for a truly seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in defining, leading the architecture, and personally building and deploying real-world, commercial production systems that tackle the most complex and ambiguous enterprise challenges, moving beyond proofs-of-concept to deliver strategic, firm-wide impact.
Job Responsibility:
Define & Lead Architecture: Set the technical vision and architect sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks
Strategize & Pioneer Automation with Agents: Drive the strategic direction for intelligent agent-based automation
Establish Containerization Best Practices: Possess expert-level comfort and leadership in container technologies, specifically defining and implementing best practices for deploying and managing mission-critical applications within OpenShift environments
Drive Strategic Technical Direction & Ownership: Own and drive critical technical initiatives from conception to production, influencing broad technical strategy and standards across multiple teams and product lines
Elevate Engineering Excellence: Act as a key driver for engineering excellence, establishing and upholding rigorous software development best practices
Innovate & Shape the Future: Stay at the absolute forefront of Generative AI, actively identifying strategic opportunities, exploring bleeding-edge models, techniques, and frameworks
Technical Thought Leadership: Act as a go-to technical expert, providing deep technical leadership, guidance, and mentorship across the organization
Overcome Ambiguity & Deliver: Thrive in an agile, fast-paced environment, taking ownership of highly ambiguous and complex problems
Lead Responsible AI Implementation: Architect and champion the implementation of robust guardrails, ethical considerations, and responsible AI governance into all solutions
Requirements:
10+ years of progressive professional software engineering experience, with a significant portion dedicated to designing, building, and delivering highly scalable and impactful enterprise-grade solutions in commercial production environments, tackling complex, ambiguous challenges
Mastery in Python is non-negotiable, with a profound understanding of its ecosystem for advanced AI/ML development, complex data engineering, and robust backend services
Expert-level, hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK, Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel)
Deep and strategic expertise with containerization and orchestration technologies, specifically OpenShift, including leading deployment strategies and troubleshooting complex production issues
Demonstrated ability to architect, lead development, and deploy highly performant, large-scale AI/ML systems, defining their long-term technical strategy and ensuring operational excellence
Exceptional understanding of modern software development principles, clean code practices, distributed systems, advanced data structures, and algorithms, with the ability to apply them to novel problems
Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases
Bachelor’s degree in Computer Science, Information Technology or Engineering is required
a Master's degree is preferred
Nice to have:
Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang, especially in polyglot microservices architectures
Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask, contributing to their core development or strategic usage
Familiarity with messaging and integration platforms such as Kafka or JMS/MQ, including architectural patterns for high-throughput, fault-tolerant systems
Experience leading UI development with modern frameworks like React JS or StreamLit for complex, interactive AI applications
Practical experience in model risk management, defining and implementing enterprise-wide AI guardrails, and establishing end-user adoption pathways for Generative AI solutions
A proven track record of contributing to open-source projects, presenting at industry conferences, or publishing relevant research/whitepapers in AI/ML
What we offer:
Define the Future & Impact at Scale: Lead critical, high-visibility projects that are transforming a global enterprise
Pioneer Cutting-Edge Technology: Drive the adoption and implementation of the latest Generative AI models, advanced agentic frameworks, and cloud-native technologies, amplified by state-of-the-art AI-assisted development tools like Devin and Copilot
Exceptional Growth & Technical Leadership: A culture of continuous learning, technical thought leadership, and opportunities to drive significant technical innovation
Benefit from extensive learning resources including Udemy for Business and Pluralsight
Highly Collaborative & Influential Environment: Join a highly skilled, passionate team where your technical expertise and strategic vision will be highly valued
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 & Challenge: Tackle the most complex problems at a massive global scale