Senior GenAI Engineer

Artifintech; Plano (TX); Presencial; USD 170.000 - 210.000; Jornada completa

Descripción de la vacante

Artifintech seeks a hands-on Senior GenAI Engineer to build and deploy enterprise-scale Generative AI applications, AI agents, chatbots, and RAG solutions. You will implement data ingestion, embeddings, vector stores, and semantic search while shaping cloud-native, secure, scalable architectures.

Ideal candidates will lead technical workstreams, mentor juniors, and own end-to-end deployments from development to production across AWS Bedrock and related tools.

Formación

• Hands-on experience building enterprise GenAI applications and AI agents.
• Experience with cloud-native architectures and production-grade deployments.
• Experience leading technical workstreams and mentoring junior engineers.

Responsabilidades

• Develop and deploy enterprise GenAI applications, AI agents, and RAG-based solutions.
• Design data ingestion pipelines, embeddings, vector databases, and semantic search.
• Mentor junior engineers and lead cross-functional workstreams in a regulated scale environment.

Conocimientos

GenAI applications

AI agents & chatbots

RAG solutions

Embeddings & vector databases

LangChain/LangGraph

Microservices & REST APIs

Cloud-native architecture

Production deployments

Mentoring & leading workstreams

Herramientas

AWS Bedrock

Descripción del empleo

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.