Senior AI Engineer
Job details
- Level
- Senior
- Experience
- 5+ years
- Posted
- Nov 4, 2026
- Last confirmed open
- Nov 4, 2026
About this role
- Job ID:
J53828
- Job Title:
Senior AI Engineer
- Location:
Plano, TX
- Duration:
12 Months + Extension
- Domain Exposure:
Banking & Finance
- Work Authorization:
US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
- Client:
To Be Discussed Later
- Employment Type:
W-2, 1099, C2C
Key Technical Requirements:
- Strong proficiency in Python, including asynchronous programming, type annotations, and automated testing.
- Hands-on experience with LLM/Generative AI application development.
- Strong experience in Retrieval-Augmented Generation (RAG), embedding models, indexing strategies, and retrieval optimization.
- Experience with at least one LLM orchestration framework: LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, or Amazon Bedrock Agents.
- Expertise in LLM evaluation methodologies, golden datasets, evaluation metrics, and LLM-as-a-judge techniques.
- Experience developing cloud-based services, REST APIs, data pipelines, and event-driven workers.
- Knowledge of AI observability, tracing, structured logging, quality monitoring, and cost optimization.
- Exposure to enterprise security, compliance, and governance requirements.
Preferred Technical Skills:
- FastAPI, Pydantic, PostgreSQL, Aurora PostgreSQL, and vector extensions.
- AgentCore and Agentic AI.
- Kubernetes, Helm, Terraform, and CI/CD.
- Apache Kafka and event-driven architecture.
- Datadog and OpenTelemetry.
- Document AI, OCR, intelligent document processing, and human-in-the-loop workflows.
- Experience in financial services, insurance, healthcare, or other regulated industries.
Experience Requirements
- Minimum 5+ years of overall software engineering experience.
- Minimum 2+ years of hands-on LLM/Generative AI development experience.
- Demonstrated experience deploying at least one enterprise-grade AI/LLM application into production.
- Experience owning and supporting live AI applications, including incident management, root-cause analysis, regression management, and production enhancements.
- Exposure to enterprise security and compliance reviews.
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.