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Graph Ai Engineer Jobs (NOW HIRING)

Als Junior Graph AI Engineer (m/w/d) arbeitest du an der nรคchsten Generation intelligenter Anwendungen: Du verbindest Knowledge Graphs, Machine Learning und Large Language Models , um ...

Our solutions leverage machine learning, generative AI, agent-based systems, and graph technologies ... ROLE As an AI Engineer, you will design, build, and ship the LLM and agent systems that power our ...

AI Engineer

New York, NY ยท On-site

$150K - $300K/yr

Our solutions leverage machine learning, generative AI, agent-based systems, and graph technologies ... ROLE As an AI Engineer, you will design, build, and ship the LLM and agent systems that power our ...

AI Engineer

Fort Worth, TX ยท On-site

$114K - $150K/yr

Implement Graph RAG solutions by integrating knowledge graphs, entity extraction, relationship ... AI, RAG, Graph RAG, and prompt engineering . * Experience building multi-agent AI systems using ...

AI Engineer

San Diego, CA ยท On-site

$30 - $45/hr

AI Engineer Are you passionate about building cutting-edge AI solutions and turning Generative AI ... Enhance knowledge graph and contextual retrieval capabilities. * Implement AI governance ...

Senior AI Engineer

Irving, TX

$100K - $137K/yr

Senior Engineer - AI Engineering Irving, Texas Microsoft Copilot Studio Position Summary We are ... Ground AI agents in enterprise data using Microsoft Graph and Microsoft 365 data sources. Design ...

Founding AI Engineer

San Francisco, CA ยท On-site

$200K - $300K/yr

We're looking for a Founding AI Engineer to help us build an AI-powered knowledge platform that ... Research and apply best practices in terms of Knowledge Graph, embeddings, vector and graph RAG ...

AI Engineer

Vienna, VA ยท On-site

The role involves analyzing graph-structured data, building NLP pipelines, and collaborating with ... โ€ข Contribute to AI/ML engineering efforts by developing, testing, and deploying data-driven ...

Senior AI Engineer

Philadelphia, PA ยท On-site

$123K - $163K/yr

Senior AI Engineer (Insurance domain and Data Background) Philadelphia, PA (Hybrid Day 1 onsite ... Develop and maintain graph databases (GraphDB, Neo4j, Stardog) in production or advanced PoC setups.

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented ... Knowledge graph implementation (Neo4j preferred). * LLM optimization & improved response handling.

As a Principal AI Engineer at TENEX, you will be a key technical leader responsible for designing ... Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature ...

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Interviews: 2 rounds Top ... Knowledge graph implementation (Neo4j preferred). LLM optimization & improved response handling.

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Infographic showing various Graph Ai Engineer job openings in the United States as of September 2026, with employment types broken down into 50% Full Time, and 50% Temporary. Highlights an 100% In-person job distribution.

Data Scientist / Graph AI Engineer

Austin, TX โ€ข On-site

Programmers.io
IT Servicesย โ€ขย 501 - 1,000 employees

Temporary

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Job Description

Overview
We are seeking a Data Scientist / Graph AI Engineer with deep expertise in semantic graph analytics, AI-driven anomaly detection, and large language models (LLMs). This individual will serve as a technical pioneer, designing, implementing, and validating novel methodologies to transform machine log data into ontology-driven semantic graphs that enable clustering, anomaly detection, and downstream analytics.
This role demands a thinker, builder, and innovator who thrives in customer-centric environments, can invent intellectual property, and can navigate the intersection of data engineering, graph representation learning, and AI/LLM-based methodology creation.

Required Skills & Experience

  • Graph Expertise: Strong background in graph databases (Neo4j, TigerGraph), graph processing (NetworkX, DGL, PyTorch Geometric), and ontology modeling (OWL, RDF, Protégé).
  • Machine Learning: Proven experience with graph embeddings, anomaly detection, clustering, and time-series analysis.
  • AI/LLM Innovation: Hands-on experience applying or extending large language models for data representation, semantic reasoning, or code generation.
  • Programming & Engineering: Advanced skills in Python, PyTorch/TensorFlow, Spark, and cloud-native pipelines.
  • Research & IP Creation: Track record of innovation (patents, publications, novel algorithms).
  • Communication: Ability to engage stakeholders with clarity, empathy, and influence
  • Experience with Splunk log data or similar enterprise log platforms.
  • Familiarity with graph-based anomaly detection benchmarks and scalable ML infrastructure.