AI Specialist

• End-to-End AI Architecture & Leadership: Lead the design, architecture, and implementation of highly scalable and robust AI-powered applications and services utilizing Python, FastAPI/Flask, FastMcp LangGraph, ADK and Google VertexAI.

• Advanced Model Integration & Optimization: Architect, integrate, and expertly fine-tune large language models, with a strategic focus on the Gemini Model, for advanced NLP tasks and cutting-edge generative AI applications.

Pioneering Conversational & Agentic AI

• Agentic AI System Orchestration: Architect and implement advanced Agentic AI patterns, orchestrating complex AI workflows using frameworks like ADK and LangGraph to build robust, intelligent, and autonomous systems.

Scalable System Integration & Cloud Infrastructure

• API Architecture & Integration: Drive the design and implementation of seamless API architectures and integrations with diverse internal and external systems, ensuring optimal data flow and functionality across the enterprise.

• Cloud Infrastructure Leadership: Lead the deployment, management, and optimization of AI solutions on cloud platforms, leveraging services like GCP CloudRun/GKE, BigQuery, Cloud Composer, and CloudSQL for resilient data processing and infrastructure management.

Operational Excellence & Quality Assurance

• Code Quality & AIOps Governance: Establish and enforce rigorous code quality standards and best practices for software development and AIOps, ensuring clean, maintainable, and well-documented code across all AI projects.

• Advanced Testing & Deployment Oversight: Architect and execute comprehensive test strategies for AI solutions, leading the deployment and continuous monitoring of models in production environments, ensuring high performance and reliability.

• Thought Leadership & Cross-Functional Collaboration:

• Research & Innovation Leadership: Actively lead research into the latest advancements in AI, machine learning, and natural language processing, translating cutting-edge developments into innovative solutions and strategic initiatives.

• Cross-Functional Strategic Partnership: Collaborate closely with product managers, data scientists, and other engineering leaders to define strategy, align priorities, and ensure the successful delivery of high-quality, impactful AI products that meet business objectives.

Your skills and experience

Leadership in AI Engineering: Proven experience (13+ years) in an AI Engineer role, demonstrating successful application of AI skills and advanced techniques to solve complex, real-world problems, with a track record of leading technical initiatives.

Technical Mastery & Specialization

• Programming & Data Science Proficiency: Expert-level proficiency in programming languages commonly used in data science, particularly Python (with libraries like scikit-learn, pandas, NumPy), SQL, etc.

• Web Frameworks for APIs: Extensive experience with web frameworks like FastAPI or Flask for building robust and scalable APIs.

• Google VertexAI Platform Expertise: Deep hands-on experience and proven expertise with the Google VertexAI platform.

• Large Language Model (LLM) Leadership: Demonstrated expert-level experience working with large language models, particularly the Gemini Model, including fine-tuning and deployment strategies.

• Conversational AI Development: Expert proficiency in developing and optimizing conversational AI solutions using platforms like Dialogflow CX.

• Agentic AI Architecture & Orchestration: Solid understanding and advanced experience with Agentic AI principles, design patterns, and orchestration frameworks such as ADK and LangGraph for managing complex AI agents and workflows.

• API Design, Integration & Management: Master-level experience with API design, complex integration patterns, and comprehensive management in large-scale systems.

Cloud & Data Platform Leadership