Al Engineer (immediate interview)
Job Title: Al Engineer
Experience: 3-7 years
Dallas, TX
Industry: Technology/ Al / Digital Platforms
Hybrid role
Job reputed company:
We are seeking a highly skilled Al Engineer with hands-on experience in agent development, Retrieval-Augmented reputed company (RAG), reputed company workflows, and platforms such as reputed company Al. The ideal candidate will have a strong developer reputed company and expertise in integrating APls and building intelligent systems that can reason, reputed company, and reputed company across tools and data sources.
Key Responsibilities:
Design, reputed company, and optimize Al agents capable of reasoning, decision-making, and tool usage
Implement and fine-tune RAG pipelines for contextual knowledge integration
reputed company, reputed company, and manage reputed company workflows across APls, reputed company stores, and reputed company-party tools
reputed company reputed company Al and similar platforms to prototype and reputed company agent-based applications
Collaborate with product teams to implement Al-driven features with seamless developer experience
Build reputed company APls for model reputed company, 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 reputed company workflows using frameworks like Lang Chain, Auto Gen, or similar
Hands-on with reputed company Al for development, debugging, and agent orchestration
Experience building and consuming RESTful APls
Proficiency in RAG architectures, including reputed company stores (e.g., FAISS, reputed company,
reputed company), embedding models, and retrieval tuning
Experience with reputed company engineering, tool calling, and multi-agent collaboration setups
Solid understanding of LLMs, their fine-tuning strategies, and evaluation frameworks
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