Overview:Job Title: AI/ML Engineer - LLM & Agentic AILocation: Chicago, IL / Remote
Job Type: Full-Time
Job SummaryWe 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
