Al Engineer (immediate interview)
Job Title: Al Engineer
Experience: 3-7 years
Dallas, TX
Industry: Technology/ Al / Digital Platforms
Hybrid role
Job Summary:
We are seeking a highly skilled Al Engineer with hands-on experience in agent development, Retrieval-Augmented Generation (RAG), agentic workflows, and platforms such as Cursor Al. The ideal candidate will have a strong developer mindset and expertise in integrating APls and building intelligent systems that can reason, act, and interact across tools and data sources.
Key Responsibilities:
Design, develop, and optimize Al agents capable of reasoning, decision-making, and tool usage
Implement and fine-tune RAG pipelines for contextual knowledge integration
Develop, integrate, and manage agentic workflows across APls, vector stores, and third-party tools
Leverage Cursor Al and similar platforms to prototype and deploy agent-based applications
Collaborate with product teams to implement Al-driven features with seamless developer experience
Build scalable APls for model access, integration, and service orchestration
Stay updated with the latest in LLMs, agent orchestration frameworks, and Al tooling
Required Skills & Qualifications:
Strong programming skills in Python or equivalent (Go/Node.js is a plus)
Experience in developing autonomous agents and agentic workflows using frameworks like Lang Chain, Auto Gen, or similar
Hands-on with Cursor Al for development, debugging, and agent orchestration
Experience building and consuming RESTful APls
Proficiency in RAG architectures, including vector stores (e.g., FAISS, Pinecone,
Weaviate), embedding models, and retrieval tuning
Experience with prompt engineering, tool calling, and multi-agent collaboration setups
Solid understanding of LLMs, their fine-tuning strategies, and evaluation frameworks
Apply Now
Apply Now
Experience: 3-7 years
Dallas, TX
Industry: Technology/ Al / Digital Platforms
Hybrid role
Job Summary:
We are seeking a highly skilled Al Engineer with hands-on experience in agent development, Retrieval-Augmented Generation (RAG), agentic workflows, and platforms such as Cursor Al. The ideal candidate will have a strong developer mindset and expertise in integrating APls and building intelligent systems that can reason, act, and interact across tools and data sources.
Key Responsibilities:
Design, develop, and optimize Al agents capable of reasoning, decision-making, and tool usage
Implement and fine-tune RAG pipelines for contextual knowledge integration
Develop, integrate, and manage agentic workflows across APls, vector stores, and third-party tools
Leverage Cursor Al and similar platforms to prototype and deploy agent-based applications
Collaborate with product teams to implement Al-driven features with seamless developer experience
Build scalable APls for model access, integration, and service orchestration
Stay updated with the latest in LLMs, agent orchestration frameworks, and Al tooling
Required Skills & Qualifications:
Strong programming skills in Python or equivalent (Go/Node.js is a plus)
Experience in developing autonomous agents and agentic workflows using frameworks like Lang Chain, Auto Gen, or similar
Hands-on with Cursor Al for development, debugging, and agent orchestration
Experience building and consuming RESTful APls
Proficiency in RAG architectures, including vector stores (e.g., FAISS, Pinecone,
Weaviate), embedding models, and retrieval tuning
Experience with prompt engineering, tool calling, and multi-agent collaboration setups
Solid understanding of LLMs, their fine-tuning strategies, and evaluation frameworks
Apply Now
Apply Now