What are the responsibilities and job description for the AI/ML Engineering Lead position at Veear?
Job Details
Day to Day:
- Develop Synthetic AI Agents using the Google Conversational Platform and playbooks to enhance automated interactions.
- Orchestrate multiple Generative AI Agents using LangGraph, LangChain (with ReACT), and LLM tooling for intelligent workflow automation.
- Architect and implement large-scale, low-latency, real-time systems with a focus on event-driven processing and extended conversational context using Big Table, Time Series, Pub/Sub, and Kafka.
- Leverage ML frameworks and MLOps best practices to streamline the deployment, monitoring, and maintenance of AI models.
- Continuously combat AI hallucinations by implementing real-time detection and correction mechanisms, rather than one-time adjustments.
- Design and implement guardrails, supervisory mechanisms, and observability frameworks to ensure AI transparency, reliability, and explainability.
- Lead Responsible AI (RAI) initiatives at scale, ensuring compliance with regulatory requirements for industries like Fintech.
- Optimize cost-efficiency of GenAI solutions through hybrid approaches, balancing deterministic and probabilistic methods.
- Integrate AI solutions into Google Cloud's native microservices and event-driven architectures, leveraging technologies such as Big Table, Pub/Sub, and AlloyDB
Required Skillset:
- Proven experience in Conversational AI and synthetic agent development, especially within Google Cloud environments.
- Hands-on expertise with GenAI orchestration tools (LangGraph, LangChain, ReACT, LLMs).
- Strong background in real-time, event-driven architectures and cloud-native technologies (Google Cloud Platform, Kafka, Pub/Sub, Big Table).
- Deep understanding of MLOps practices for scalable AI deployment and monitoring.
- Experience in Responsible AI (RAI) and regulatory AI governance, especially in Fintech or other highly regulated industries.
- Track record of cost-efficient AI model deployment, optimizing deterministic vs. probabilistic approaches.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
