Enterprise AI Engineer: Data Intelligence & RAG

Vibehackers; United States; Hybrid; USD 120,000 - 190,000; Full time

Job summary

Vibehackers is seeking a Forward Deployed AI Engineer — Data Intelligence to design, build, and deploy enterprise AI solutions that connect Claude/Anthropic with ServiceNow and enterprise data. The role blends AI engineering, data engineering, integrations, and consulting to move clients from pilots to production deployments.

You will design data pipelines, implement RAG and semantic search across enterprise sources, and collaborate with clients to deliver secure, scalable AI-driven workflows

Qualifications

• 3+ years in software/AI engineering, data engineering, or related roles.
• Hands-on experience building apps, data pipelines, integrations, APIs, or cloud services.
• Experience with structured and unstructured data, databases, document repositories, APIs, and cloud storage.
• Exposure to generative AI, LLMs, RAG, embeddings, vector search, or LLM APIs.
• Experience with REST APIs, JSON, OAuth, and cloud platforms.
• Familiarity with AWS, Azure, or Google Cloud Platform.
• Strong problem-solving and client-facing skills.

Responsibilities

• Partner with client stakeholders to identify high-value AI and data use cases.
• Translate requirements into technical designs, prototypes, production implementations, and delivery plans.
• Build AI-enabled applications and workflows for knowledge discovery, service operations, document intelligence, decision support, and automation.
• Develop reusable Data Intelligence components, accelerators, integration patterns, and playbooks.
• Support the full lifecycle: discovery, data assessment, proof of concept, implementation, testing, rollout, monitoring, and improvement.

Skills

AI engineering

Data pipelines

Cloud platforms

REST APIs

Python

SQL

RAG

LLMs

Vector search

Tools

Anthropic Claude API

ServiceNow

Pinecone

Weaviate

Job description

Vibehackers is seeking a Forward Deployed AI Engineer — Data Intelligence to design, build, and deploy enterprise AI solutions that connect Claude/Anthropic with ServiceNow and enterprise data. The role blends AI engineering, data engineering, integrations, and consulting to move clients from pilots to production deployments.

You will design data pipelines, implement RAG and semantic search across enterprise sources, and collaborate with clients to deliver secure, scalable AI-driven workflows