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Staff AI Engineer (Backend Heavy)

Roles & Responsibilities

  • 6 years of AI/ML engineering experience
  • Strong experience building production AI or ML systems
  • Experience working with LLMs, agent-based systems, or AI-driven applications
  • Experience deploying AI systems in cloud environments such as AWS, Azure, or GCP

Requirements:

  • Lead the development of AI-powered systems and agent-based platforms
  • Act as a technical leader on a growing engineering team
  • Guide technical direction while working closely with product and engineering teams
  • Develop production AI systems that integrate into customer workflows

Job description


Lead Staff AI Engineer (Backend Heavy)
Remote
Direct Hire
Salary Target: $200k – $220k

This growing SaaS technology company builds enterprise software used by organizations to automate workflows, streamline operations, and deliver digital experiences to customers. As part of a new AI initiative, the company is investing heavily in building AI-driven tools and platforms that integrate directly into customer workflows and applications.

Job Description:
Our client is seeking a Staff AI Engineer to help lead the development of AI-powered systems and agent-based platforms that power conversational and automated experiences for enterprise users. This person will act as a technical leader on a growing engineering team while remaining highly hands-on with architecture and development.
The team is focused on building AI tools that are delivered directly to users, so the ideal candidate has experience developing production AI systems and understands how people interact with AI-driven applications. This role will help guide technical direction while working closely with product and engineering teams to bring new AI capabilities to market.

Required Skills:
• 6 years of AI/ML engineering experience
• Strong experience building production AI or ML systems
• Experience working with LLMs, agent-based systems, or AI-driven applications
• Experience developing RAG pipelines, embeddings, prompt engineering, or model evaluation workflows
• Familiarity with vector databases such as Pinecone, Weaviate, FAISS, or Milvus
• Experience with AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar tools
• Experience designing scalable APIs and distributed systems
• Strong backend engineering experience, Python preferred
• Experience deploying AI systems in cloud environments such as AWS, Azure, or GCP
• Experience mentoring engineers or acting as a technical lead on engineering teams



Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at www.consultnet.com .

We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.




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