Jobs via Dice
AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer on a 6-month remote contract (PST hours) with a pay rate of "unknown." Requires 4-8 years of experience, including 2+ years in LLM/RAG or search/retrieval systems, strong Python skills, and familiarity with ServiceNow API and Splunk SDK.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
October 4, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#REST (Representational State Transfer) #Graph API #Flask #API (Application Programming Interface) #FastAPI #AI (Artificial Intelligence) #Redis #REST services #SharePoint #Splunk #Snowflake #Langchain #Cloud #Python #Kafka (Apache Kafka) #SQL (Structured Query Language)
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cloud Destinations LLC, is seeking the following. Apply via Dice today!
Position: AI Engineer
Location: Remote(PST hours)
Hiring Mode: 6 Months Contract
Job Description:
Own the Network AI Plaftorm s retrieval stack and APIs: source connectors, chunking/embedding, hybrid search, answer composition, and integrations.
Responsibilities:
• Maintain/tune RAG pipelines.
• Own Python REST services powering query, routing, and alarm-correlation flows.
• Build/maintain connectors to ServiceNow, Splunk, SharePoint, internal wikis.
• Implement evaluation suites and guardrails.
• Investigate prod incidents and ship fixes.
Must-haves:
4 8 years total; 2+ years building LLM/RAG or search/retrieval systems.
Strong Python; FastAPI/Flask; SQL; Redis/Snowflake/Postgres.
Practical RAG experience.
Hands-on with ServiceNow API, Splunk SDK/SPL, or SharePoint/Graph API.
Nice-to-haves:
LangChain/LangGraph, pgvector/Redis, hybrid search, Kafka/Celery/RQ, Ray; networking/telecom familiarity.
Ways of Working (team-level)
Environments: dev ? staging ? prod with approvals and change tickets.
On-call: light rotation, documented runbooks, paging policies.
Quality gates: tests, offline evals, canaries, rollback plans, kill-switches.
Docs: ops handbook, source connector playbooks, incident post-mortems, onboarding guides.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cloud Destinations LLC, is seeking the following. Apply via Dice today!
Position: AI Engineer
Location: Remote(PST hours)
Hiring Mode: 6 Months Contract
Job Description:
Own the Network AI Plaftorm s retrieval stack and APIs: source connectors, chunking/embedding, hybrid search, answer composition, and integrations.
Responsibilities:
• Maintain/tune RAG pipelines.
• Own Python REST services powering query, routing, and alarm-correlation flows.
• Build/maintain connectors to ServiceNow, Splunk, SharePoint, internal wikis.
• Implement evaluation suites and guardrails.
• Investigate prod incidents and ship fixes.
Must-haves:
4 8 years total; 2+ years building LLM/RAG or search/retrieval systems.
Strong Python; FastAPI/Flask; SQL; Redis/Snowflake/Postgres.
Practical RAG experience.
Hands-on with ServiceNow API, Splunk SDK/SPL, or SharePoint/Graph API.
Nice-to-haves:
LangChain/LangGraph, pgvector/Redis, hybrid search, Kafka/Celery/RQ, Ray; networking/telecom familiarity.
Ways of Working (team-level)
Environments: dev ? staging ? prod with approvals and change tickets.
On-call: light rotation, documented runbooks, paging policies.
Quality gates: tests, offline evals, canaries, rollback plans, kill-switches.
Docs: ops handbook, source connector playbooks, incident post-mortems, onboarding guides.
