Senior GenAI Engineer

Machine Learning Technologies, LLC; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC in Phoenix, AZ is seeking a software engineer skilled in cloud-native AI systems, including agents and chatbots, and scalable data pipelines.

You will work with AWS Bedrock or similar enterprise LLM platforms, vector databases, embeddings, and semantic search to deliver robust distributed applications, microservices, and REST APIs. The role emphasizes AI guardrails and routing logic for safe, reliable AI in production.

Qualifications

• Experience with AWS cloud services and cloud-native development.
• Experience with AI agents, chatbots, and RAG applications.
• Familiarity with vector databases, embeddings and semantic search.
• Data ingestion and retrieval pipelines.
• Microservices, REST APIs, and distributed applications.

Responsibilities

• Develop cloud-native AI agents, chatbots, and RAG apps.
• Leverage AWS Bedrock or other enterprise LLM platforms.
• Implement vector databases, embeddings, and semantic search.
• Build data ingestion and retrieval pipelines.
• Design microservices and REST APIs with distributed architecture.

Skills

Cloud architecture

AI/ML development

Distributed systems

API design

Tools

AWS Bedrock

Vector databases

Semantic search

REST APIs

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Summary

• AWS cloud services and cloud-native development.
• AI Agents, Chatbots, and RAG applications.
• AWS Bedrock or other enterprise LLM platforms.
• Vector databases, embeddings, and semantic search.
• Data ingestion and retrieval pipelines.
• Microservices, REST APIs, and distributed applications.
• AI Guardrails, safety controls, intent classification, and routing logic.

Good to Have:

• AWS Agent Core.
• Prompt engineering, model tuning, and evaluation.
• AWS serverless and event-driven architecture.
• Financial services or insurance industry experience.

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.