Overview
On Site
Full Time
Contract - W2
Contract - Independent
Skills
Workflow
Python
LangChain
Testing
Performance Tuning
Machine Learning (ML)
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Docker
Kubernetes
Continuous Integration
Continuous Delivery
Big Data
Apache Spark
Prompt Engineering
Orchestration
FOCUS
Artificial Intelligence
Job Details
Position : AI Engineer
Location: Preferred Onsite Dallas, Tx
Joining : Immediate
We're seeking highly skilled AI Engineers with 5 8 years of industry experience to build and operate cutting-edge agentic workflows. This is a hands-on role for a technical contributor passionate about delivering production-grade AI systems that are scalable, ethical, and resilient.
Key Responsibilities:
AI Engineer with 5-8 years of industry experience. Hands-on contributor responsible for building, evaluating, and operating agentic workflows end-to-end. Expert in Python, and Agentic AI toolchains such as LangChain, LangGraph, and related frameworks. Delivers production-ready solutions with robust testing, tracing, guardrails, and performance optimization. Skilled in ML/DL frameworks, cloud platforms (AWS, Azure, Google Cloud Platform), containerization (Docker, Kubernetes), CI/CD pipelines, and big data tools (e.g., Spark). Experienced in prompt engineering, LLM orchestration, and human-in-the-loop systems, with a strong focus on AI ethics, observability, and scalable deployment.
Location: Preferred Onsite Dallas, Tx
Joining : Immediate
We're seeking highly skilled AI Engineers with 5 8 years of industry experience to build and operate cutting-edge agentic workflows. This is a hands-on role for a technical contributor passionate about delivering production-grade AI systems that are scalable, ethical, and resilient.
Key Responsibilities:
AI Engineer with 5-8 years of industry experience. Hands-on contributor responsible for building, evaluating, and operating agentic workflows end-to-end. Expert in Python, and Agentic AI toolchains such as LangChain, LangGraph, and related frameworks. Delivers production-ready solutions with robust testing, tracing, guardrails, and performance optimization. Skilled in ML/DL frameworks, cloud platforms (AWS, Azure, Google Cloud Platform), containerization (Docker, Kubernetes), CI/CD pipelines, and big data tools (e.g., Spark). Experienced in prompt engineering, LLM orchestration, and human-in-the-loop systems, with a strong focus on AI ethics, observability, and scalable deployment.
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