Experis
Applied AI FDE Support
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Applied AI FDE Support" freelancer, remote, with a contract length of "unknown." Pay rate is "unknown." Key skills include AI/ML expertise, Python, GCP, and experience in NLU and LLM orchestration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 21, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#NLU (Natural Language Understanding) #Cloud #Strategy #ML (Machine Learning) #Python #AI (Artificial Intelligence) #GitHub #IAM (Identity and Access Management) #JSON (JavaScript Object Notation) #GCP (Google Cloud Platform) #Data Strategy
Role description
Location: Remote
Role And Responsibilities
Generative AI Integration: Implement grounding techniques (RAG) and orchestrate Large Language Models to handle unstructured queries within the Customer Engagement Suite.
Technical Requirements
AI/ML Expertise: Deep understanding of Natural Language Understanding (NLU) and experience with Vertex AI or similar LLM orchestration frameworks.
Core Engineering: Python, Open Source & GitHub, APIs (connection), JSON
AI & Agent Architecture: Agentic Coding & Building (Prompt Engineering), Adding Determinism to Agents, Agent Skills
LLM & Data Strategy: LLMs, Advanced RAG & Context Optimization, Progressive Disclosure
Testing & Evaluation: Automated Evaluation Frameworks, Agent Testing & Validation
Cloud & Platforms: GCP, GECX
Cloud Proficiency (Good to have): Advanced experience with Google Cloud Platform (GCP), specifically Cloud Functions, Cloud Run, and IAM.
Location: Remote
Role And Responsibilities
Generative AI Integration: Implement grounding techniques (RAG) and orchestrate Large Language Models to handle unstructured queries within the Customer Engagement Suite.
Technical Requirements
AI/ML Expertise: Deep understanding of Natural Language Understanding (NLU) and experience with Vertex AI or similar LLM orchestration frameworks.
Core Engineering: Python, Open Source & GitHub, APIs (connection), JSON
AI & Agent Architecture: Agentic Coding & Building (Prompt Engineering), Adding Determinism to Agents, Agent Skills
LLM & Data Strategy: LLMs, Advanced RAG & Context Optimization, Progressive Disclosure
Testing & Evaluation: Automated Evaluation Frameworks, Agent Testing & Validation
Cloud & Platforms: GCP, GECX
Cloud Proficiency (Good to have): Advanced experience with Google Cloud Platform (GCP), specifically Cloud Functions, Cloud Run, and IAM.
