Generative AI engineer - Java full stack - Vice president

We are seeking a highly experienced and innovative Senior Generative AI Engineer with over 12 years of industry experience, including a strong background in Java Full-stack development, to join our dynamic team. The ideal candidate will be instrumental in designing, developing, and deploying cutting-edge generative AI solutions that drive significant business impact. This role requires deep hands-on expertise in building scalable enterprise-grade AI systems, coupled with a solid understanding of software development best practices and robust architecture patterns, with a proven track record in both Java and Python ecosystems.

Responsibilities:

• Lead the engineering and execution of scalable enterprise Generative AI solutions from concept to production.
• Design, develop, and implement advanced AI models and systems, with a focus on generative AI, leveraging large language models (LLMs) and agentic AI architectures.
• Integrate AI services into existing enterprise systems by designing and implementing robust, high-performance APIs.
• Apply expert-level proficiency in Python frameworks (e.g., FastAPI, Django, Flask, PySpark) for AI development and system integration.
• Leverage significant past experience in Java development for building robust, scalable enterprise applications and integrating AI components within existing Java-based systems.
• Utilize deep understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems, to inform solution design.
• Gain hands-on experience with relevant AI frameworks and orchestration tools such as Google ADK, LangGraph, LangChain, AutoGen, and CrewAI.
• Leverage extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Scikit-Learn, NumPy, Pandas) to build and optimize AI models.
• Develop, deploy, and integrate Model Context Protocols (MCPs) into sophisticated agentic AI systems.
• Demonstrate deep familiarity and practical application of large language models (LLMs) such as ChatGPT, Claude, Gemini, and Llama within agentic systems.
• Champion software development best practices, including version control (Git), CI/CD pipelines, comprehensive testing, and rigorous code reviews.
• Ensure application resiliency and adhere to strong security principles in all AI projects.
• Apply expertise in system design, application development, and operational stability for critical AI initiatives.
• Utilize deep experience with application and data architecture patterns and designs, emphasizing API-First Design, microservices, and event-driven architectures.
• Leverage managed services and existing platforms effectively to accelerate development and deployment.
• Possess hands-on experience with containerization and orchestration technologies, specifically Docker and Kubernetes.
• Proactively identify and solve complex technical challenges with excellent analytical, innovative, pragmatic, and creative problem-solving skills.
• Qualifications:
• 12+ years of progressive experience in software engineering, with a significant focus on Generative AI.
• Prior hands-on experience in Java Full-stack development is required.
• Expert-level proficiency in Python, including experience with frameworks such as FastAPI, Django, Flask, or PySpark.
• Solid understanding of core AI concepts: knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems.
• Demonstrated hands-on experience with generative AI frameworks/orchestration tools like Google ADK, LanGraph, LangChain, AutoGen, or CrewAI.
• Extensive experience with machine learning frameworks (TensorFlow, PyTorch) and libraries (Scikit-Learn, NumPy, Pandas).
• Proven experience in creating, deploying, and integrating MCPs into agentic AI systems.
• Deep familiarity with large language models (LLMs) (e.g., ChatGPT, Claude, Gemini, Llama) and their application in agentic systems.
• Strong experience in designing and implementing robust APIs for AI services.
• Proficient in software development best practices: Git, CI/CD, comprehensive testing, and code reviews.
• Strong understanding of agile methodologies, application resiliency, and security principles in AI.
• Proven expertise in system design, application development, and ensuring operational stability.
• Deep experience with application and data architecture patterns and designs, including API-First Design, microservices, and event-driven architectures.
• Hands-on experience with Docker and Kubernetes.
• Proficiency in database technologies such as Oracle, Postgres, or MongoDB.
• Excellent analytical, innovative, and problem-solving skills.
• Previous experience within the banking or financial services industry, understanding regulatory environments and specific challenges, is a plus.
• Education:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.

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