Job Title: AI/ML Engineer - LLM & Agentic AI
Location: Chicago IL / Remote
Job Type: Full-Time
Job Summary
We are seeking a highly skilled AI/ML Engineer with deep expertise in LLM-based applications Agentic AI and scalable AI architecture. The ideal candidate will have strong experience building production-grade AI systems using modern frameworks vector databases retrieval pipelines and MLOps practices.
This role involves end-to-end ownership of AI solution design orchestration workflows deployment monitoring and optimization.
Required Skills
- Hands-on experience building:
- ML/LLM-based applications
- Agentic AI solutions
- RAG architectures
- Strong expertise with:
- Embeddings
- Vector databases
- Retrieval pipelines
- Prompt engineering
- AI orchestration workflows
- Strong Python programming skills
- Experience with frameworks such as:
- LangChain
- LlamaIndex
- PyTorch
- Experience with:
- CI/CD pipelines
- Scalable model deployment
- Monitoring and lifecycle management
- MLOps best practices
Key Responsibilities
- Design and deliver end-to-end AI/ML Agentic AI and LLM-based solutions
- Translate business requirements into scalable AI architectures and measurable outcomes
- Build RAG pipelines vector search solutions embeddings and orchestration workflows
- Develop prompt strategies AI agents workflow guardrails and automation frameworks
- Optimize AI systems for:
- Performance
- Scalability
- Reliability
- Cost efficiency
- Implement monitoring drift detection CI/CD and lifecycle management for AI models
- Build production-grade data pipelines with validation lineage and reproducibility
- Mentor engineering teams and drive responsible AI architecture and governance decisions
Preferred Skills
- Experience with cloud AI platforms (AWS Azure or GCP)
- Exposure to distributed AI systems and scalable inference architectures
- Familiarity with Responsible AI and enterprise governance frameworks
Job Title: AI/ML Engineer - LLM & Agentic AI Location: Chicago IL / RemoteJob Type: Full-Time Job Summary We are seeking a highly skilled AI/ML Engineer with deep expertise in LLM-based applications Agentic AI and scalable AI architecture. The ideal candidate will have strong experience building pro...
Job Title: AI/ML Engineer - LLM & Agentic AI
Location: Chicago IL / Remote
Job Type: Full-Time
Job Summary
We are seeking a highly skilled AI/ML Engineer with deep expertise in LLM-based applications Agentic AI and scalable AI architecture. The ideal candidate will have strong experience building production-grade AI systems using modern frameworks vector databases retrieval pipelines and MLOps practices.
This role involves end-to-end ownership of AI solution design orchestration workflows deployment monitoring and optimization.
Required Skills
- Hands-on experience building:
- ML/LLM-based applications
- Agentic AI solutions
- RAG architectures
- Strong expertise with:
- Embeddings
- Vector databases
- Retrieval pipelines
- Prompt engineering
- AI orchestration workflows
- Strong Python programming skills
- Experience with frameworks such as:
- LangChain
- LlamaIndex
- PyTorch
- Experience with:
- CI/CD pipelines
- Scalable model deployment
- Monitoring and lifecycle management
- MLOps best practices
Key Responsibilities
- Design and deliver end-to-end AI/ML Agentic AI and LLM-based solutions
- Translate business requirements into scalable AI architectures and measurable outcomes
- Build RAG pipelines vector search solutions embeddings and orchestration workflows
- Develop prompt strategies AI agents workflow guardrails and automation frameworks
- Optimize AI systems for:
- Performance
- Scalability
- Reliability
- Cost efficiency
- Implement monitoring drift detection CI/CD and lifecycle management for AI models
- Build production-grade data pipelines with validation lineage and reproducibility
- Mentor engineering teams and drive responsible AI architecture and governance decisions
Preferred Skills
- Experience with cloud AI platforms (AWS Azure or GCP)
- Exposure to distributed AI systems and scalable inference architectures
- Familiarity with Responsible AI and enterprise governance frameworks
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