Al Engineer (immediate interview)

Overview

Remote
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship

Skills

RESTful APls

Job Details

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

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