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Prudent Technologies and Consulting, Inc.

Senior ML Engineer: LLMs, RAG Pipelines & Enterprise AI

san francisco, CA

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Job description

LOCATION: Bay Area, CA - Hybrid

Full Time

ROLE OVERVIEW

KEY REQUIREMENTS & QUALIFICATIONS

AI/ML & LLM Architectures: Deep hands-on experience with Large Language Models, transformer architectures, vector databases (e.g., Pinecone, Milvus, pgvector), embedding models, and multi-agent orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel).

RAG & Data Pipelines: Proven track record of designing, building, and scaling advanced RAG pipelines, chunking strategies, semantic caching, and real-time ETL data pipelines.

API & System Integration: Deep understanding of REST/GraphQL APIs, microservices architectures, OAuth/security protocols, and cloud infrastructure (AWS, GCP, or Azure).

Platform & Ecosystem KnowledgeSalesforce Ecosystem: Deep familiarity and hands-on experience with core Salesforce architecture (Sales/Service Cloud, Apex, Lightning Web Components).

Advanced Salesforce AI & Data Stacks: Mastery of Salesforce Data Cloud (Customer Data Platform) and Agentforce, understanding how to leverage unified data models for contextual AI actions.

Consulting & Soft SkillsExecutive Communication: Exceptional verbal and written communication skills; capable of translating deeply technical ML concepts into clear business outcomes for C-suite executives and non-technical stakeholders.

Ambiguity Management: Thrives in unstructured, fast-paced, and high-ambiguity environments where requirements evolve rapidly and problems require creative, out-of-the-box engineering.

Client-Facing Acumen: Strong consultative mindset, emotional intelligence, and de-escalation skills to navigate complex enterprise politics and technical friction with grace.

PREFERRED QUALIFICATIONS Advanced Degree: M.S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.

Prior FDE Experience: Previous experience as a Forward Deployed Engineer, Solutions Architect, or Principal ML Engineer in high-growth enterprise SaaS or AI-first companies (e.g., Palantir, Databricks, OpenAI enterprise practices).

Certifications: Salesforce Certified AI Specialist, Data Cloud Consultant, or equivalent cloud architecture certifications.

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Worksite address

san francisco, CA, 94199, US

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