AI/ML Engineer – Generative AI & Agentic Solutions

Cloud Analytics Technologies, LLC

Annapolis (MD)

In loco

USD 140.000 - 180.000

Tempo pieno

2 ore fa

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Descrizione del lavoro

Cloud Analytics Technologies, LLC is seeking an experienced AI/ML Engineer to design scalable AI/ML and Generative AI solutions for enterprise use. You will build production-grade LLM applications, RAG pipelines, AI agents, classifications, and summarization workflows, while shaping prompt orchestration, grounding, tool-calling, guardrails, and fallback mechanisms.

You will develop agentic AI workflows with multi-step reasoning, integrate with enterprise APIs, and establish evaluation

Competenze

Hands-on production experience with Generative AI and LLM-based applications.
Strong experience in AI/ML engineering or software engineering.
Experience with RAG architectures and grounding techniques.
Experience building AI agents/Agentic AI solutions.
Knowledge of prompt engineering and LLM orchestration.
Experience integrating LLMs with APIs, enterprise apps, and data sources.
Experience with evaluation frameworks, guardrails, and hallucination mitigation.
Understanding of cloud-native architectures, APIs, data platforms, scalable distributed apps.
Knowledge of Responsible AI, security, privacy, compliance, governance.
Strong communication with technical and business stakeholders.

Mansioni

Design scalable AI/ML and Generative AI solutions.
Build production-grade LLM apps, RAG pipelines, AI agents, classifiers, summarizers.
Design prompt orchestration, grounding, tool calling, guardrails, and fallbacks.
Develop agentic AI workflows with multi-step reasoning and API integrations.
Establish AI evaluation frameworks, datasets, scoring, and benchmarks.
Evaluate AI systems for accuracy, relevance, latency, cost.
Integrate AI apps with enterprise APIs and data sources.
Perform failure-mode analysis and continuous production improvements.
Implement AI observability and drift monitoring.
Ensure Responsible AI, security, privacy, compliance, governance.
Collaborate with Data Eng, Architecture, Security, Quality Engineering, stakeholders.