Senior AI Developer

Business Centric Technology

Irving (TX)

On-site

USD 135,000 - 165,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
Healthcare FSA
Paid Vacation
Sick Leave and Holidays
Learning & Development

Job summary

Business Centric Technology seeks a hands-on Senior AI Developer to turn complex business problems into scalable, production-ready AI solutions. On-site four days a week in Irving, TX, with Friday work-from-home, you will own and deliver real-world impact.

The role requires 7+ years in software development and 3+ years delivering AI/ML in production, with strong Python and ML framework experience. Competitive compensation starts at $150k+ and includes comprehensive benefits.

Qualifications

  • 7+ years in software development with 3+ years delivering AI/ML in production.
  • Strong Python skills and ML framework experience.
  • Hands-on with LLMs and modern AI stacks.
  • Cloud experience with major providers (Azure/AWS/GCP).
  • Ability to explain technical concepts to non-technical stakeholders.

Responsibilities

  • Design and deliver end-to-end AI/ML solutions including NLP and automation.
  • Develop LLM-powered apps (RAG, agents, copilots, prompts).
  • Build production-grade data pipelines from ingest to monitoring.
  • Write clean Python code and apply MLOps practices (CI/CD, drift detection).
  • Deploy on Azure, AWS, or GCP focusing on performance and security.
  • Ensure responsible AI governance and explainability.

Skills

Python
PyTorch
TensorFlow
scikit-learn
LLMs
LangChain
OpenAI API
Hugging Face
Azure
AWS
GCP
MLOps
CI/CD
Data Pipelines
Explainable AI

Tools

OpenAI API
LangChain
Vector DBs
Azure AI
AWS AI Services
GCP AI services

Job description

Our top client is looking for a hands-on Senior AI Developer who can turn complex business problems into scalable, production-ready AI solutions. This role blends deep technical expertise with strong business partnership, ideal for someone who enjoys building, owning, and delivering real-world impact.

This is a direct-hire position working on-site four days (Mon - Thu) a week in Irving, TX (Friday’s work from home).

COMP:

$150k and Up range based on experience level

WHAT’S IN IT FOR YOU:
  • Medical, dental, and vision with employer contributions
  • Healthcare FSA & telehealth options
  • Paid vacation, sick leave & holidays
  • Ongoing learning and development programs
WHAT YOU’LL DO:
Build & Deploy AI Solutions (70%)
  • Design and deliver end-to-end AI/ML solutions, including predictive models, generative AI, NLP, and automation
  • Develop LLM-powered applications (RAG, agents, copilots, prompt engineering)
  • Build production-grade pipelines from data ingestion to model monitoring
  • Write clean, scalable Python code and implement MLOps best practices (CI/CD, versioning, drift detection)
  • Deploy solutions across Azure, AWS, or GCP with a focus on performance, cost, and security
  • Ensure responsible AI, governance, and explainability are built into every solution
Partner with the Business (30%)
  • Collaborate with stakeholders across Finance, Operations, Sales, and IT to identify high-impact opportunities
  • Lead whiteboarding sessions and communicate complex ideas in a clear, business-friendly way
  • Define success metrics, quantify ROI, and influence AI roadmap prioritization
WHAT YOU’LL BRING:
  • 7+ years in software development; 3+ years delivering AI/ML solutions in production
  • Strong Python and experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
  • Hands-on experience with LLMs and modern AI stacks (OpenAI, Hugging Face, LangChain, vector DBs)
  • Cloud experience with Azure, AWS, or GCP AI services
  • Ability to clearly communicate technical concepts to non-technical audiences
  • Proven experience working directly with business stakeholders
  • Experience with AI governance, copilots, or intelligent automation preferred
  • Background in analytics, optimization, or decision intelligence preferred
  • Experience in complex or regulated environments preferred
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