Senior AI ML Engineer
AceStack LLC
Job Role : Senior AI ML Engineer
Location : Chicago, IL : Remote
Job Type : Full time Permanent
Roles & Responsibilities:
Must Have Technical/Functional Skill
• Hands on experience building ML/LLM based applications
• Proven expertise with embeddings, vector databases, and retrieval pipelines
• Experience designing agent workflows, prompt strategies, and orchestration
• Strong Python skills with frameworks like LangChain, LlamaIndex, PyTorch, etc.
• CI/CD, scalable model deployment, monitoring, and lifecycle managemen
Roles & Responsibilities
• Design and deliver AI/ML, Agentic AI, and LLM-based solutions end to end
• Translate business needs into scalable AI architectures and measurable outcomes
• Build RAG pipelines, embeddings, vector search, and LLM orchestration workflows
• Develop agentic workflows, prompt strategies, and system guardrails
• Optimize AI systems for performance, cost, scalability, and reliability
• Implement MLOps/CI-CD, monitoring, drift detection, and lifecycle management
• Ensure production-grade data pipelines with validation, lineage, and reproducibility
• Mentor engineers and drive responsible AI governance and architecture decisions
Location : Chicago, IL : Remote
Job Type : Full time Permanent
Roles & Responsibilities:
Must Have Technical/Functional Skill
• Hands on experience building ML/LLM based applications
• Proven expertise with embeddings, vector databases, and retrieval pipelines
• Experience designing agent workflows, prompt strategies, and orchestration
• Strong Python skills with frameworks like LangChain, LlamaIndex, PyTorch, etc.
• CI/CD, scalable model deployment, monitoring, and lifecycle managemen
Roles & Responsibilities
• Design and deliver AI/ML, Agentic AI, and LLM-based solutions end to end
• Translate business needs into scalable AI architectures and measurable outcomes
• Build RAG pipelines, embeddings, vector search, and LLM orchestration workflows
• Develop agentic workflows, prompt strategies, and system guardrails
• Optimize AI systems for performance, cost, scalability, and reliability
• Implement MLOps/CI-CD, monitoring, drift detection, and lifecycle management
• Ensure production-grade data pipelines with validation, lineage, and reproducibility
• Mentor engineers and drive responsible AI governance and architecture decisions
Vacancy posted 1 day ago
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