Senior, Full Stack AI Engineer

Role Overview

The Senior AI Engineer will be responsible for designing and deploying comprehensive AI workflows to transform sales, marketing, and e-commerce processes. This position demands advanced expertise in Python-driven AI orchestration, as well as robust frontend and backend development skills using frameworks like CrewAI, LangChain, LangGraph, ReactJS, and Go or Rust. Experience with REST API development for system integration is required. Familiarity with Amazon Bedrock for prompt engineering and AI decision-making is essential.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• AI Workflow Orchestration: Proficiency with LangGraph, LangChain, or AWS Bedrock AgentCore for building complex, multi-step AI agents capable of automating tasks such as lead scoring, customer segmentation, and personalized e-commerce experiences.
• Prompt Engineering & MLOps: Managing the prompt lifecycle using tools such as PromptLayer and LangSmith, with the ability to design rigorous evaluation frameworks for assessing model performance and safety.
• High-Performance Engineering: Develop internal tools and client-facing applications utilizing frameworks like ReactJS, Go, or Rust to deliver high-performance frontend and backend solutions.
• System Integration: Implement reliable API integrations among Salesforce (CRM), Marketo (Marketing), and data warehouses including Azure and Oracle Exadata.
• Marketing/Sales Automation: Comprehensive knowledge of Salesforce and Marketo API ecosystems to enable automation of personalized leads and e-commerce conversion activities.
• Data Pipeline Development: Construct scalable data pipelines for ingesting, processing, and delivering real-time insights from Oracle Exadata into AI models.
• Application Development: Build robust, high-availability applications that enhance both internal sales operations and external customer engagement.