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Senior AI Engineer

Roles & Responsibilities

  • 3–4+ years of AI/ML engineering experience
  • Strong experience building production AI/ML systems
  • Experience working with LLMs, agent-based systems, or AI-driven applications
  • Experience deploying AI systems in cloud environments (AWS, Azure, or GCP)

Requirements:

  • Build and maintain AI-powered systems and agent-based platforms for conversational and automated experiences used by enterprise customers
  • Develop scalable AI services, APIs, and automation tools to power real-world business workflows and AI-driven applications
  • Collaborate with platform and product teams to design, implement, and deploy production-ready AI solutions across cloud environments
  • Design APIs and backend architectures; ensure reliability, scalability, and observability of AI systems

Job description


Senior AI Engineer
Remote
Direct Hire
Salary Target: $150k – $170k


This growing SaaS technology company develops enterprise software that helps organizations automate workflows and deliver digital services more efficiently. As part of a broader 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 Senior AI Engineer to help build AI-powered systems and agent-based platforms that support conversational and automated experiences used by enterprise customers.
This role is highly hands-on and focused on development. The engineer will work closely with the platform and product teams to build scalable AI services, APIs, and automation tools that power real-world business workflows and AI-driven applications.

Required Skills:
• 3–4+ 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
• Strong backend engineering experience, Python preferred
• Experience designing APIs and scalable backend systems
• Experience deploying AI systems in cloud environments such as AWS, Azure, or GCP


Bonus / Soft Skills:
• Experience building agentic AI platforms or conversational AI systems
• Experience building AI products used directly by customers
• Familiarity with MLOps, observability, or evaluation tools such as MLflow, LangSmith, Weights & Biases, or similar platforms
• Experience with containerization and cloud-native tools such as Docker or Kubernetes
• Experience with machine learning frameworks such as PyTorch or TensorFlow



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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