Lead AI / ML Engineer

Job Title:  Lead AI / ML Engineer.
Location: San Francisco Bay Area.
Need 18+ years of experience 


Key Responsibilities
·         Design, build, and maintain scalable AI/ML systems and APIs using Python and FastAPI.
·         Develop and deploy sophisticated applications leveraging Large Language Models (LLMs) with frameworks like LangChain and LangGraph.
·         Architect and implement robust data and ML pipelines on Google Cloud Platform (GCP), utilizing services like Vertex AI, BigQuery, Pub/Sub, and Cloud Storage.
·         Work with large-scale datasets, performing data analysis and manipulation with tools like Pandas, NumPy, and SQL.
·         Integrate with and manage data from various database systems, including PostgreSQL, using libraries like SQLAlchemy and asyncpg.
·         Write clean, high-quality, and well-tested code, and contribute to a culture of software development best practices.
·         Collaborate with cross-functional teams to understand requirements and deliver impactful AI-driven features.
·         Stay current with the latest advancements in AI, machine learning, and cloud technologies to drive innovation within the team.
Required Qualifications
·         Proven experience in a hands-on software engineering or ML engineering role. Strong programming proficiency in Python (3.10+).
·         Hands-on experience with Google Cloud Platform (GCP), especially with AI/ML services (Vertex AI, AIPlatform) and data services (BigQuery, Cloud Storage).
·         Demonstrable experience building applications with LLMs using frameworks such as LangChain. Experience developing and deploying production-grade APIs using FastAPI, Flask, or a similar web framework.
·         Proficiency in data manipulation and analysis using Pandas and NumPy. Solid understanding of SQL and experience with relational databases (e.g., PostgreSQL).
Preferred Qualifications
·         Experience with LangGraph for creating agentic and stateful LLM workflows.
·         Familiarity with asynchronous programming in Python (asyncio).
·         Experience with event-driven architectures and messaging systems like Google Cloud Pub/Sub. Knowledge of MLOps principles and CI/CD practices.

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