MACHINE LEARNING TECHNOLOGIES LLC
Senior GenAI Engineer Overview
| Company Name | MACHINE LEARNING TECHNOLOGIES LLC |
| Job Role | Senior GenAI Engineer |
| Qualifications | Not specified |
| Category | I |
| Job Type | Full Time |
| Location | Plano, TX, United States |
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Job Description
Job Overview
- Job ID:
J53924
- Job Title:
Senior GenAI Engineer
- Location:
Plano, TX
- Duration:
10 Months + Extension
- Domain Exposure:
Media/ Entertainment
- Client:
To Be Discussed Later
- Employment Type:
W-2, 1099, C2C
- Work Authorization:
US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
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Position:
Senior GenAI Engineer
Job Description:
We are looking for a hands-on Senior GenAI Engineer with strong experience building and deploying enterprise-scale Generative AI applications, AI agents, chatbots, and RAG-based solutions.
Required Skills:
- Strong programming experience in Python and JavaScript/TypeScript.
- Hands-on experience with AWS Cloud Services and AWS Bedrock.
- Experience developing enterprise GenAI applications, AI Agents, and Chatbots.
- Strong experience implementing RAG (Retrieval-Augmented Generation) solutions.
- Experience with data ingestion, document processing, embeddings, vector databases, and semantic search.
- Experience with LangChain, LangGraph, or similar AI agent frameworks.
- Knowledge of AI guardrails, safety controls, intent classification, and routing logic.
- Experience developing microservices, REST APIs, and distributed applications.
- Strong understanding of cloud-native architecture, application security, scalability, and production deployments.
- Experience leading technical workstreams and mentoring junior engineers.
Good To Have:
- AWS AgentCore experience.
- LLM tuning, evaluation, and prompt engineering.
- AWS serverless and event-driven architectures.
- Financial services, insurance, or other regulated industry experience.
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Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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