Senior AI Automation Engineer

Senior AI Automation Engineer - Remote, Global

Role Overview

Bold Business is seeking a visionary Senior AI Automation Engineer to lead the design and implementation of production-grade, cloud-native AI platforms. You will be responsible for transforming complex business workflows into measurable outcomes by architecting end-to-end AI solutions that leverage the latest in LLM orchestration, vector search, and agentic reasoning.

Key Responsibilities

• AI Orchestration & Agentic Design: Lead the design of complex agentic workflows and state machines using frameworks like LangChain and LangGraph to automate multi-step business tasks.
• Production RAG Architectures: Architect and oversee the deployment of production-ready Retrieval-Augmented Generation (RAG) pipelines, including unstructured data ingestion and high-performance vector store management (Pinecone, Weaviate, pgvector).
• Full-Stack AI Integration: Bridge the gap between AI research and product by developing Python-based orchestration services and Node.js APIs that expose AI capabilities through secure, rate-limited endpoints.
• Performance & Evaluation: Establish rigorous evaluation and monitoring pipelines to track LLM quality, including latency, token usage, and hallucination rates, while iterating on retrieval strategies and guardrails.
• Infrastructure & MLOps: Own the CI/CD and observability for AI services across AWS and GCP, ensuring secure SDLC practices and auditable deployment strategies.
• Strategic Collaboration: Work directly with leadership, product, and design teams to translate high-level business requirements into technical AI roadmaps and success metrics.

Technical Requirements

• Deep expertise in Python and deep learning frameworks (PyTorch, TensorFlow) alongside specialized experience in fine-tuning and prompt engineering for Gemini, OpenAI, and Anthropic.
• Hands-on mastery of LangChain, LangGraph, and LlamaIndex, specifically for tool-augmented reasoning and function calling.
• Expert knowledge of PostgreSQL (multi-tenant schemas), NoSQL (MongoDB, Elasticsearch), and specialized Vector Databases.
• Extensive experience with AWS (Lambda, EKS, EventBridge) and GCP (Vertex AI, Cloud Run), paired with Docker, Kubernetes, and Terraform.
• A strong foundation in TypeScript/Node.js and modern frontend frameworks (React, Next.js) to build AI-powered UX flows and assistants.

Education & Experience

• 10+ years of software engineering experience, with a significant recent focus on applied machine learning and LLM-based systems.
• Bachelor of Science in Computer Science from a top-tier institution.
• Experience scaling SaaS platforms and improving operational efficiency through automation and intelligent content creation.