AI/ML Engineer

Cloud Analytics Technologies, LLC; Annapolis (MD); In loco; USD 140.000 - 180.000; Tempo pieno

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.

Conoscenze

AI/ML Engineering

Generative AI

LLM Applications

RAG Architectures

Agentic AI

Prompt Engineering

API Integration

Model Evaluation

Cloud-Native Architecture

Governance & Compliance

Communication Skills

Formazione

Bachelor's degree or equivalent experience

Descrizione del lavoro

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Key Responsibilities

• Design and develop scalable enterprise AI/ML and Generative AI solutions.
• Build production-grade LLM applications, RAG pipelines, AI agents, classification models, summarization workflows, and decision-support systems.
• Design prompt engineering, prompt orchestration, grounding, tool-calling, guardrails, and fallback mechanisms.
• Develop and optimize agentic AI workflows, including multi-step reasoning and tool/API integrations.
• Establish AI evaluation frameworks, test datasets, scoring methodologies, and performance benchmarks.
• Evaluate and optimize AI systems for accuracy, relevance, hallucination risk, latency, reliability, and cost.
• Integrate AI applications with enterprise APIs, data platforms, vector databases, and governed data sources.
• Perform failure-mode analysis and continuously improve production AI systems.
• Implement AI observability, monitoring, evaluation, and model/drift monitoring practices.
• Ensure solutions meet enterprise requirements around Responsible AI, security, privacy, compliance, and governance.
• Collaborate with Data Engineering, Architecture, Security, Quality Engineering, and business stakeholders.

Required Skills

• Strong experience in AI/ML Engineering or Software Engineering.
• Hands-on production experience with Generative AI and LLM-based applications.
• Strong experience with RAG architectures and retrieval/grounding techniques.
• Hands-on experience building AI agents / Agentic AI solutions.
• Strong knowledge of prompt engineering and LLM orchestration.
• Experience integrating LLMs with APIs, enterprise applications, and data sources.
• Experience with model/LLM evaluation frameworks, guardrails, and hallucination mitigation.
• Strong understanding of cloud-native architectures, APIs, data platforms, and scalable distributed applications.
• Knowledge of Responsible AI, security, privacy, compliance, and AI governance.
• Strong communication skills and ability to work with both technical and business stakeholders.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent relevant experience.

Preferred Skills

• 1–2+ years of hands-on Agentic AI development/deployment experience.
• Experience with vector databases, semantic search, embeddings, knowledge retrieval, and AI observability.
• Experience taking enterprise AI products from architecture/design through production deployment and support.
• Experience working with Finance, FP&A, Accounting, Treasury, Tax, or related enterprise finance functions.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.