Senior GenAI Engineer

Cloud Analytics Technologies, LLC; Plano (TX); In loco; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

Cloud Analytics Technologies, LLC is seeking a hands-on Senior GenAI Engineer to design, build, and deploy enterprise-scale GenAI applications, AI agents, chatbots, and RAG-based systems in a production environment.

You will lead technical workstreams, mentor junior engineers, and collaborate with secure, scalable cloud-native architectures on AWS Bedrock and related services.

Competenze

• Hands-on experience building enterprise GenAI applications.
• Experience deploying AI agents, chatbots, and RAG-based solutions.
• Strong background with AWS services, Bedrock.
• Knowledge of data ingestion and document processing pipelines.
• Experience leading technical workstreams and mentoring.

Mansioni

• Design and deploy enterprise GenAI applications at scale.
• Build AI agents, chatbots, and RAG-based systems.
• Lead technical workstreams and mentor junior engineers.
• Ensure security, scalability, and production readiness.

Conoscenze

AWS Cloud

GenAI applications

AI agents & chatbots

RAG solutions

Data ingestion & embeddings

LangChain / LangGraph

Guardrails & safety controls

REST APIs & microservices

Cloud-native architecture

Mentoring junior engineers

Strumenti

LangChain

LangGraph

Vector databases

Semantic search

REST API development

Descrizione del lavoro

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

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:

• 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.

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.

Some of our Business Ventures - Knowledge Analytics

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