Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Senior, niche GenAI leadership reduces candidate pool despite metro location.
Deep GenAI, LangChain, and production LLM integrations make cross-industry transitions difficult without similar AI experience.
Explicit 12+ years, 5+ management, and mandatory GenAI, LangChain, Java/Python, cloud, Kubernetes requirements.
Lead architecture, design, and production of scalable microservices and AI-enabled product capabilities, including Generative and Agentic AI systems.
Own end-to-end lifecycle of AI platform features, ensuring high performance, security, scalability, and reliability across Java/Spring Boot and Python/FastAPI services.
Manage and develop engineering teams through technical mentorship, delivery oversight, and collaboration with cross-functional stakeholders in an agile environment.
12+ years in software development with at least 5+ years in team management.
Strong hands-on experience in designing, building, and leading production-grade Generative AI, LLM, and Agentic AI systems.
Proficiency in Java, Python (3.x), Spring Boot, FastAPI, SQL, NoSQL (MongoDB, Postgres, SingleStore), and AI integration frameworks such as LangChain or similar.
Bachelor's degree in computer science or equivalent.
Experienced in driving large-scale AI product development with focus on Generative and Agentic AI architectures and multi-agent orchestration frameworks.
Skilled in leading cross-functional teams with balanced hands-on coding and managerial duties within agile environments.
Comfortable working with complex, scalable distributed systems and integrating diverse AI APIs (e.g., OpenAI, Azure OpenAI, Anthropic).