Senior Generative AI Engineer - VP

Position: Senior Staff Generative AI Engineer - VP
Location: New York

For additional information, please review .Senior Staff Generative AI Engineer – VP
*
* 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.
** Mentor & Collaborate:
** Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement. Collaborate closely with cross-functional teams, product managers, and stakeholders to deliver impactful solutions.
*
* Minimum Qualifications:

** of professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions , with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full-stack development experience is a distinct advantage.
** Expert-level proficiency in Python is a must-have
** Extensive hands-on experience with
** Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks** (e.g., Lang Chain, Lang Graph, Google ADK. Optionally Auto Gen, CrewAI, Llama Index, Semantic Kernel). Deep comfort and practical experience with
** containers and orchestration technologies, specifically Open Shift**. Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments. Proficiency with Relational (preferably, Postgre

SQL) and Vector (preferably, pgvector) databases.
** Preferred Qualifications (Bonus Points):
** Proficiency in additional programming languages such as Java, JavaScript/Type Script, or Golang.

Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask. Familiarity with messaging and integration platforms such as Kafka or JMS/MQ.

Experience with UI development using modern frameworks like React JS or Stream Lit for interactive AI applications.

Practical experience in model risk management, developing AI guardrails, and establishing end-user adoption pathways for Generative AI solutions.
** 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**.
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