AI Engineer

Imigrus; Plano (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Imigrus is seeking a Senior AI Engineer in Plano, TX for a 12-month engagement with extension potential. The role focuses on building and deploying advanced AI/LLM solutions in regulated banking/finance contexts, including RAG, embeddings, and orchestration frameworks.

You will own production-grade AI services and maintain observability and security standards. The ideal candidate has 5+ years in software engineering and 2+ years with LLM/GAN tech, plus hands-on experience delivering enterprise

Qualifications

• Minimum 5+ years of overall software engineering experience.

Responsibilities

• Develop and deploy enterprise-grade AI/LLM applications.
• Build REST APIs and data pipelines for AI workloads.
• Implement RAG-based solutions with embedding models and indexing strategies.
• Operate in production with incident management and root-cause analysis.
• Adhere to security, compliance, and governance requirements.

Skills

Python async

LLM/Generative AI

RAG & embeddings

LLM orchestration

LLM evaluation

REST APIs

Data pipelines

Observability & cost

Security & compliance

Tools

FastAPI

Pydantic

PostgreSQL

Kubernetes

Terraform

Kafka

OpenTelemetry

Job description

Job DescriptionJob Overview

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 EmployerWe 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.

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