Senior GenAI Engineer

Valiant Technologies LLC; Plano (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Valiant Technologies LLC in Plano, TX seeks a hands-on Senior GenAI Engineer to build and deploy enterprise-scale Generative AI applications, AI agents, chatbots, and RAG-based solutions.

The ideal candidate has deep experience with AWS Bedrock, LangChain, vector databases, embeddings, and scalable microservices architecture. You will mentor junior engineers and drive production-grade deployments with strong security and governance.

Qualifications

• Hands-on experience with AWS Cloud Services and Bedrock.
• Develop enterprise GenAI applications, AI Agents, and chatbots.
• Strong experience implementing RAG (Retrieval-Augmented Generation) solutions.
• Experience with data ingestion, 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, security, scalability, and production deployments.
• Experience leading technical workstreams and mentoring junior engineers.

Skills

GenAI engineering

RAG solutions

AWS Bedrock

LangChain/LangGraph

Embeddings/Vector DBs

Microservices/REST APIs

Cloud-native security & scalability

Production deployments

Mentoring engineers

Tools

AWS Cloud Services

Bedrock

LangChain

LangGraph

Vector databases

Semantic search

REST APIs

Job description

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.