... Strong knowledge of distributed systems and microservices • Experience working in Agile ... graph databases such as Neptune or Neo4j • AI security, red-teaming, and LLM vulnerability ...
... Strong knowledge of distributed systems and microservices • Experience working in Agile ... graph databases such as Neptune or Neo4j • AI security, red-teaming, and LLM vulnerability ...
... graph databases (Neo4j). * Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns ... and deploying GenAI/LLM-powered solutions in client or production environments * 1+ years of ...
... graph databases (Neo4j). * Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns ... and deploying GenAI/LLM-powered solutions in client or production environments * 1+ years of ...
... graph databases (Neo4j). * Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns ... and deploying GenAI/LLM-powered solutions in client or production environments * 1+ years of ...
... graph databases (Neo4j). * Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns ... and deploying GenAI/LLM-powered solutions in client or production environments * 1+ years of ...
WI · On-site
$155 - $220/hr
Expert-level knowledge of Gemini Enterprise (formerly Agent space), Vertex AI, and Big Query ML ... Deep understanding of Python-based AI orchestration (Lang Graph, ADK, etc.)**Desired Qualifications:
New
WI · On-site
$155 - $220/hr
Expert-level knowledge of Gemini Enterprise (formerly Agent space), Vertex AI, and Big Query ML ... Deep understanding of Python-based AI orchestration (Lang Graph, ADK, etc.)**Desired Qualifications:
New
Knowledge of web security, GitOps, and Kubernetes customization. * Basic understanding of AI/ML ... Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production ...
Knowledge of web security, GitOps, and Kubernetes customization. * Basic understanding of AI/ML ... Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production ...
Enterprise AI Enablement Engineer
Milwaukee, WI · On-site +1
... LLM APIs, with Anthropic Claude preferred, including prompt engineering and building agentic ... Microsoft Graph • Working knowledge of CI/CD and cloud deployment, with Azure experience ...
Enterprise AI Enablement Engineer
Milwaukee, WI · On-site +1
... LLM APIs, with Anthropic Claude preferred, including prompt engineering and building agentic ... Microsoft Graph • Working knowledge of CI/CD and cloud deployment, with Azure experience ...
... LLM APIs, with Anthropic Claude preferred, including prompt engineering and building agentic ... and Microsoft Graph Working knowledge of CI/CD and cloud deployment, with Azure experience ...
... LLM APIs, with Anthropic Claude preferred, including prompt engineering and building agentic ... and Microsoft Graph Working knowledge of CI/CD and cloud deployment, with Azure experience ...
Llm Knowledge Graph information
What is the difference between Llm Knowledge Graph vs Data Scientist?
| Aspect | Llm Knowledge Graph | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of NLP, graph databases, machine learning | Statistics, programming, data analysis |
| Work Environment | Research labs, AI companies, tech firms | Corporate, consulting, research institutions |
| Industry Usage | AI, knowledge management, semantic web | Business analytics, predictive modeling |
While both roles involve data and machine learning, Llm Knowledge Graph specialists focus on building interconnected knowledge bases using NLP and graph technologies, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap in AI projects but serve different core functions within organizations.
Job description
Genesis10 is currently seeking a Generative AI Engineer for a Regional Financial Institution located in Green Bay, WI. This role is focused on building production-grade Generative AI solutions and requires extensive experience in Python development and various AI frameworks.
Responsibilities:
• Building production-grade Generative AI solutions
• Developing scalable solutions on the AWS cloud platform within an event-driven architecture
Qualifications:
Required:
• 7+ years of software engineering, data engineering, or AI engineering experience
• Expert-level Python development experience
• Experience building production-grade Generative AI solutions
• Hands-on experience with LangChain, LangSmith, RAG architectures, Vector databases, Prompt engineering, and LLM orchestration
• Strong AWS experience including Lambda, S3, DynamoDB, EC2, Fargate, and Bedrock
• Experience developing APIs using FastAPI, Django, Flask, or similar frameworks
• Experience with Kafka and event-driven architectures
• Experience with relational and NoSQL databases
• Strong knowledge of distributed systems and microservices
• Experience working in Agile environments
• Excellent communication and stakeholder management skills
Preferred:
• Experience building multi-agent AI systems
• Experience with Anthropic Claude, Llama, OpenAI, or Gemini models
• Experience with graph databases such as Neptune or Neo4j
• AI security, red-teaming, and LLM vulnerability assessment experience
• Experience implementing AI governance and compliance frameworks
• Experience with Terraform and Infrastructure as Code
• Experience with Spark and large-scale data processing
• Experience with fraud detection, financial services, telecom, or public sector solutions
Company:
Information Technology and Services Founded in 1999, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About Genesis10
Sourced by ZipRecruiter
For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.
Industry
It services
Company size
1,001 - 5,000 Employees
Headquarters location
New York, NY, US
Year founded
1999