Senior AI/LLM Engineer Python, Azure Databricks & Agentic AI

Senior AI/LLM Engineer - Python, Azure Databricks & Agentic AI#26-21187 Up to $57.14 per hour Plano, TX Onsite Job Description Our client, a IT Services and Consulting company, is looking for a Senior AI/LLM Engineer - Python, Azure Databricks & Agentic AI for their Plano, TX location.

Responsibilities:

AI, LLMs & Copilot Agentic Mode Design and build LLM-powered AI use cases such as copilots, intelligent assistants, and automation agents. Implement Copilot agentic mode workflows, including tool calling, task planning, and multi-step reasoning. Develop prompt engineering strategies, system prompts, and guardrails for enterprise use. Integrate LLMs with Databricks, data lakes, and microservices for real-time and batch inference. Build RAG (Retrieval-Augmented Generation) pipelines using enterprise data. Evaluate, fine-tune, and monitor LLM performance, accuracy, and cost.

Microservices & Application Development:

Develop Python-based microservices to expose data and AI capabilities via APIs. Build and integrate RESTful services for data access, AI inference, and orchestration. Ensure secure, scalable, and resilient service design using cloud-native patterns. Drive development tasks independently, from design through deployment, with minimal supervision.

Azure Databricks & Data Engineering:

Design, develop, and manage Azure Databricks jobs, workflows, and notebooks. Build reusable Python/PySpark scripts for data ingestion, transformation, and analytics. Implement Delta Lake-based lakehouse architectures with ACID transactions and versioning. Optimize Databricks workloads for performance, scalability, and cost efficiency. Implement batch and streaming pipelines using Databricks.

Architecture, Governance & Best Practices:

Contribute to solution architecture and technical design decisions. Ensure data security, governance, and compliance in data and AI solutions. Implement logging, monitoring, and observability for Databricks jobs and AI services. Perform code reviews and enforce engineering best practices.

Leadership & Collaboration:

Mentor junior developers and provide technical guidance when needed. Collaborate effectively with data scientists, architects, DevOps teams, and business stakeholders. Clearly communicate technical concepts, progress, and risks through excellent verbal and written communication skills. Take full ownership of assigned workstreams and drive them to completion without requiring micromanagement

Requirements:

AI / LLM

& Copilot Hands-on experience with LLMs (Azure OpenAI, OpenAI, or similar) Experience building Copilot solutions and agentic workflows Prompt engineering and orchestration frameworks (LangChain, Semantic Kernel, etc.) Experience with RAG architectures, vector databases, and embeddings Understanding of AI safety, guardrails, and responsible AI practices

Programming & Frameworks:

Python (advanced) PySpark / Spark SQL REST APIs and microservices frameworks (FastAPI, Flask, etc.)

Azure & Data Platforms:

Azure Databricks (ADB) Delta Lake Azure Data Lake Storage (ADLS Gen2) Azure cloud services and security fundamentals

DevOps & Engineering:

CI/CD pipelines (Azure DevOps, GitHub Actions) Git version control Containerization (Docker preferred) Infrastructure-as-code concepts (Terraform/Bicep - preferred) 14+ Years of IT experience with 5+ years in Python, data engineering, or backend development Proven experience delivering production-grade AI/LLM solutions Experience in enterprise-scale cloud environments Exposure to streaming platforms (Kafka, Event Hubs - preferred) Excellent verbal and written communication skills Strong sense of ownership and accountability Ability to work independently and proactively drive outcomes Strong problem-solving and analytical skills Collaborative mindset with leadership capabilities

Years of Experience:

14.00 Years of Experience

Skills:

Category Name Required Importance Experience

IaaS:

x86:

Windows & Services Azure DevOps Yes 1