LLM / AI Prototyping Specialist

Remote • Posted 15 days ago • Updated 15 days ago

Contract Independent

Contract W2

Remote

Depends on Experience

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

Prototyping
LLM
Large Language Model
RAG
Retrieval-Augmented Generation
LangChain
LlamaIndex
prompt engineering
AgentForce
Einstein
AWS
Artificial Intelligence
Prototype

Summary

Join the Cloud Transformation team to build and scale practical, high-impact AI assistants that empower internal users across training, hypercare, and operational workflows. This is a hands-on prototyping role we need builders who have personally shipped LLM and RAG solutions into production environments, not just researched them. You'll translate ambiguous business needs ("help me find the right SOP") into concrete conversational flows, grounding strategies, and enterprise-ready prototypes that measurably improve day-to-day work for thousands of colleagues.

Key Responsibilities

Design, build, and iterate rapid prototypes of LLM-powered assistants using retrieval-augmented generation (RAG) over large volumes of unstructured content (PDFs, SOPs, training materials)
Architect end-to-end RAG pipelines: document chunking strategies, metadata/tagging design, vector search tuning, and holistic prompt-retrieval-response optimization
Translate loosely defined requests into precise system prompts, grounding logic, and evaluation criteria
Mature prototypes from proof-of-concept to enterprise-ready solutions through rigorous testing, accuracy tuning, and latency optimization
Partner directly with training, product, field, and engineering stakeholders to prioritize high-value use cases and operationalize content
Embed AI capabilities into enterprise platforms (Salesforce, ServiceNow, or custom internal tools) within a regulated life sciences environment

Required Qualifications

2 3+ years of hands-on experience building and shipping LLM/RAG prototypes into real-world use (not academic/research projects only)
Demonstrable expertise in prompt engineering, system prompt design, and grounding strategies for unstructured content
Practical experience tuning the full RAG stack: chunking embedding retrieval generation evaluation
Track record embedding LLM capabilities into enterprise applications (Salesforce, ServiceNow, Dynamics, SAP, or custom platforms)
Comfort operating independently in fast-moving, prototype-driven environments with ambiguous requirements
Ability to clearly explain technical tradeoffs to non-technical stakeholders

Preferred Qualifications

Experience in regulated industries (life sciences, pharma, healthcare, or financial services)
Familiarity with Salesforce AI (AgentForce, Einstein) or similar enterprise AI platforms
Prior work on training assistants, hypercare tools, or knowledge companions
AWS fundamentals (S3, Lambda) and data pipeline exposure
Pharma or life sciences domain knowledge

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10119106
Position Id: 8883035
Posted 15 days ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Gen AI / Agentic Engineer

Remote or Chantilly, Virginia

•

12d ago

#W2 Role Job Title: Gen AI / Agentic Engineer Location: Remote Type: W2 Contract Job Summary We are looking for a GenAI / Agentic Engineer to design, build, and deploy LLM-powered applications on AWS. This role is focused on real production engineering-APIs, RAG pipelines, agent workflows, evaluation, deployment, monitoring, and performance/cost tuning. Responsibilities Build and maintain LLM-powered backend services using Python and FastAPI (chat, search, summarization, Q&A). Design and impl

Easy Apply

Contract

Salesforce Data Cloud Architect with Agentforce, AI/ML integrations

Remote

•

Yesterday

Salesforce Data Cloud Architect with Agentforce, AI/ML integrations Location: Atlanta, GA (Remote also ok) Duration: 6+Months Must Have Skills Skill 1 Salesforce Data Cloud (3+ years hands-on): Data models, harmonization, identity resolution, calculated insights, DLOs, segmentation, DQL Skill 2 Data Cloud Architecture & Customer 360: CDP, unified data platforms, real-time personalization, predictive insights Skill 3 Agent force + AI/ML Integrations: Einstein Studio, Model Builder, RAG retr

Easy Apply

Contract

Depends on Experience

AI Engineer

Remote or Mississauga, Ontario

•

6d ago

Solution IT Inc. is looking for AI Engineer for one of its clients Toronto, Canada (Remote) Job Title: AI Engineer Summary We're hiring an AI Engineer to build, fine-tune, and deploy machine learning and LLM-powered applications. You'll work hands-on with models, data pipelines, and production systems to bring AI features into real products. Responsibilities: Build and deploy ML/AI models and AI-powered features Fine-tune, evaluate, and optimize models (including LLMs) Develop inference pipe

Easy Apply

Full-time, Contract, Third Party

AI/ML Engineer

Remote

•

3d ago

Job Details: Title: AI/ML EngineerLocation: RemoteDuration: 6-12 Months Contract Job Description:This role is an AI/ML Engineer focused on GenAI, RAG, and Agentic AI, built Azure-first. Azure isn t just the hosting environment; it s the backbone of how the solution is designed and implemented.The engineer will build custom RAG pipelines using Azure services like Blob Storage, Data Factory, and Azure Document Intelligence, with Python code handling chunking, embeddings, retrieval logic, and agen

Easy Apply

Contract

Up to $70

Search all similar jobs